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Salesforce

Dreamforce 2025 to Dreamforce 2026: What Salesforce Promised, What Actually Shipped, and What’s Coming in September

Every enterprise software conference makes promises. The interesting question is never what got announced. It’s what survived contact with a real customer’s data model eleven months later.

At Dreamforce 2025, Salesforce stood on stage at Moscone Center and told 50,000 people that the Agentic Enterprise had arrived. Agentforce 360 launched, voice agents shipped, Slack got repositioned as an operating system, and every major cloud in the portfolio was renamed around the word “agent.” It was the most aggressive repositioning the company has attempted since the Lightning migration.

Dreamforce 2026 runs 15-17 September, and it lands in a very different room. The vision has already been sold. This year Salesforce has to show receipts: production deployments, governance models, and numbers that hold up when a CFO asks what the agent actually did.

Below is the full record. Everything announced in October 2025, everything that has shipped since, and a grounded view of what to expect in September. If you run Salesforce, sell Salesforce services, or are deciding whether Agentforce deserves a budget line, this is the context to have before the keynote.

Quick answers

When is Dreamforce 2026?

15-17 September 2026, Moscone Center, San Francisco. Virtual attendance via Salesforce+ is free.

What was the biggest Dreamforce 2025 announcement?

Agentforce 360, a four-layer platform combining the Agentforce Platform, Data 360 (formerly Data Cloud), Customer 360 apps, and Slack. It went generally available worldwide on 14 October 2025.

Has Agentforce actually sold?

Yes. In Q1 FY27, the quarter ended 30 April 2026, Agentforce and Data 360 reached a combined $3.4 billion ARR, up more than 200% year on year. Agentforce alone hit $1.2 billion ARR.

What is Dreamforce 2026’s theme?

The Agentic Enterprise again, but the framing has moved from vision to production accountability.

What will Salesforce announce?

Nothing is confirmed beyond product areas. Expect proof-of-deployment case studies, agent governance tooling, Headless 360 expansion, and the Fin acquisition story.

Dreamforce 2026 dates, pricing and session details
Dreamforce 2026 runs 15-17 September at Moscone Center, San Francisco.

Part 1: What Salesforce announced at Dreamforce 2025

Dreamforce 2025 ran 14-16 October at Moscone Center in San Francisco. Roughly 45,000 to 50,000 people attended in person, with Salesforce claiming more than 180,000 including the Salesforce+ virtual audience. The speaker list mixed enterprise and entertainment: Marc Benioff, Sundar Pichai, Andrew Ng, Starbucks CEO Brian Niccol, Matthew McConaughey, Ellen Pompeo, America Ferrera. Metallica and Benson Boone headlined Dreamfest.

The product news mattered more than the celebrity list, and there was a lot of it.

Agentforce 360, the flagship launch

Agentforce 360 four-layer platform: Agentforce Platform, Data 360, Customer 360 Apps and Slack
The four layers of Agentforce 360, generally available since 14 October 2025.

Agentforce 360 became generally available on 14 October 2025. Salesforce said it was built on lessons from more than 12,000 Agentforce implementations, which is a useful detail. It means this was a v2 shaped by real deployment failures rather than a greenfield product.

It has four layers:

LayerWhat it doesAgentforce 360 PlatformAgent build and runtime, hybrid reasoning, voiceData 360Rebrand of Data Cloud. Turns structured and unstructured data into context an agent can reason overCustomer 360 AppsAgents embedded directly into sales, service, marketing and commerce workflowsSlackThe conversational surface where humans and agents actually meet

The architectural argument behind this explains most of what followed. Salesforce’s position is that agents fail for one of three reasons: they can’t see the right data, they behave unpredictably, or nobody knows where to talk to them. Data 360 addresses the first problem, Agent Script the second, and Slack the third.

Agentforce Voice

Voice agents were the most demo-able launch of the event. Agentforce Voice handles inbound and outbound calls with low enough latency to feel conversational, transcribes in real time, and lets a human take over mid-call with full visibility of what the agent has already said and done.

It integrates with Amazon Connect, Five9, NiCE and Vonage, which was a deliberate choice. Salesforce didn’t try to replace the contact center infrastructure enterprises already own. It layered on top of it, and that is a far shorter sales cycle than a rip-and-replace.

The developer and admin stack

Four launches here, and together they are the most consequential part of Dreamforce 2025 for anyone who actually builds on the platform.

Agent Script is a new agent-definition language written in human-readable JSON. It lets a developer specify exactly when an agent should follow deterministic logic and when it’s allowed to use LLM reasoning. This is Salesforce’s answer to the biggest enterprise objection to agents: you cannot put something non-deterministic in front of a customer and a compliance team at the same time.

Agentforce Builder was rebuilt around conversation. Instead of the old topic-action-instruction workflow, you describe what you want and refine it in three views: a natural-language editor, a low-code canvas, and a script view. A live simulator explains why the agent behaved the way it did.

Agentforce Vibes is a conversational coding assistant that generates Lightning Web Components and Apex logic, running inside VS Code and Code Builder, with 50 premium calls per day per org.

Setup Powered by Agentforce entered pilot. It brings natural-language administration to creating custom objects, building record-triggered and schedule-triggered flows, fixing permissions, and summarizing existing flows. If you have ever inherited an org with 400 undocumented flows, the summarization feature alone is worth the attention.

Data 360 and the context problem

The Data Cloud rename to Data 360 was not cosmetic. Two capabilities came with it. Intelligent Context lets agents reason over unstructured content such as PDFs, call transcripts and knowledge articles, rather than only structured records. Tableau Semantics enforces one consistent business vocabulary across the platform, so “active customer” means the same thing to an agent that it means in a Tableau dashboard.

Anyone who has run a data migration knows why this matters. An agent that pulls the wrong definition of “churned” doesn’t produce a slightly worse answer. It produces a confidently wrong one.

Slack as the agentic operating system

Slack was repositioned as the place work happens, with a reimagined Slackbot and, more importantly, support for Model Context Protocol (MCP). MCP support means third-party AI tools and agents from outside the Salesforce ecosystem can interoperate inside Slack. That is an unusually open move for Salesforce, and a clear signal that they would rather own the interface layer than fight every other agent vendor for it.

The great rebrand

Salesforce renamed its core product line around agents:

BeforeAfterSales CloudAgentforce SalesService CloudAgentforce ServiceMarketing CloudAgentforce MarketingData CloudData 360

Renaming products your customers have said out loud for fifteen years is not a decision anyone makes lightly. It tells you how completely Salesforce has bet the company on this positioning.

Acquisitions and partnerships

Apromore was acquired, a process intelligence company. The logic is straightforward. Before you can automate a workflow with an agent, you need to know what the workflow actually is, as opposed to what the process documentation claims it is. Apromore maps that gap.

OpenAI expanded its partnership. GPT-5 became available inside the Salesforce platform, Agentforce 360 data became queryable from ChatGPT, and Agentforce Commerce landed inside ChatGPT using the Agentic Commerce Protocol, enabling checkout without leaving the chat. A ChatGPT app for Slack and Codex access came with it.

Anthropic signed a new strategic partnership making Claude the preferred model for regulated industries including financial services, healthcare and life sciences, with bi-directional Claude and Slack integration. Running two frontier model partnerships in parallel, positioned at different industries, is a hedge against betting the platform on any single vendor.

PwC launched an agentic contact center built on Agentforce Service.

Away from product, Salesforce announced a $15 billion, five-year investment in San Francisco.

Part 2: The audit, or what actually shipped

Salesforce Agentforce timeline from Dreamforce 2025 through GA, TDX 2026 and the Fin acquisition to Dreamforce 2026
From announcement to shipped product: the Agentforce timeline across four events.

This is the section most Dreamforce coverage skips, and it’s the one that should inform your budget decisions.

The revenue evidence

Agent products either sell or they don’t, and the filings are unambiguous.

MetricQ4 FY26 (ended Jan 2026)Q1 FY27 (ended 30 Apr 2026)Total revenue$11.2B$11.1B (+13% YoY)Agentforce ARR~$800M$1.2B (+205% YoY)Agentforce + Data 360 ARRnot disclosed$3.4B (+200%+ YoY)Informatica Cloud ARRnot disclosed$1.1BAgentic work units deliverednot disclosed3.8B (+111% QoQ)Tokens processed (cumulative)not disclosed28.6 trillion (+152% QoQ)

Salesforce Q1 FY27 results: $1.2B Agentforce ARR, $3.4B including Data 360, 3.8B agentic work units and 28.6 trillion tokens processed
The four numbers that matter from Q1 FY27, ended 30 April 2026.

Salesforce guided FY27 revenue to $45.9 to $46.2 billion and authorized a $50 billion buyback. Benioff’s framing on the Q1 call: “Agentic AI is the biggest growth opportunity for our customers, and for Salesforce.”

Two of those metrics deserve a closer look. Agentic work units and tokens processed are not standard SaaS disclosures. They are consumption metrics, and Salesforce putting them into quarterly reporting is a strong hint about where pricing is heading. If your Agentforce contract is currently seat-based, it is worth modeling what a consumption-based renewal would cost at your actual volumes.

TDX 2026 proved the developer story was real

Salesforce’s developer conference in March 2026 shipped the follow-through on the Dreamforce 2025 developer promises, which is the clearest available signal that the platform work wasn’t just keynote material.

Agent Script was open-sourced and published to GitHub. Announced in October, in public hands by March.

Agentforce Vibes 2.0 reads enterprise metadata through the Unified Catalog and supports both Claude Sonnet and GPT-5.

Agentforce Experience Layer (AXL) lets you define an interactive component once and deploy it to web, mobile, Slack and voice.

Agent Script for Voice extends the same deterministic control to voice channels.

Agentforce Mobile SDK brings native iOS and Android with push-to-talk voice.

Headless 360 runs Salesforce as an agent backend behind someone else’s front end.

Agentforce Labs and the Agent Development Life Cycle (ADLC) added safety reviews, deployment tooling and production observability.

AgentExchange grew to 10,000 Salesforce apps, 2,600+ Slack apps and 1,000+ agents.

Session Trace OTel API entered beta, returning full agent session traces as OpenTelemetry spans. The A/B Testing API entered pilot, and Testing Center enhancements went GA in May.

The ADLC and observability work is the tell. You don’t build production tracing and safety review tooling for a product still living in demos. You build it because customers have agents in production and are asking hard questions about what those agents did at 3am.

The Fin acquisition

In June 2026, Salesforce signed a definitive agreement to acquire Fin, formerly Intercom, for approximately $3.6 billion, expected to close in Q4 FY27. Fin’s proprietary Apex model reportedly resolves around 76% of support volume without human involvement.

The positioning is an admission about Agentforce’s weakness. Agentforce is a platform for enterprise-scale custom transformation, and platforms take months to deploy. Fin is packaged and fast. Salesforce buying it says plainly that the mid-market was never going to wait through a six-month implementation, and that plenty of buyers want an agent that works on Thursday rather than one perfectly modeled on their data by Q3.

What’s still thin

An honest audit has to include the parts that haven’t landed.

Adoption remains harder than the headline ARR suggests. The deployments most often cited as successes, including PenFed’s 76-agent system and UCLA Health, involved substantial data cleanup, integration work, process redesign and testing before any agent went live. That work is not optional and it is not fast.

Setup Powered by Agentforce was announced as a pilot in October 2025 and has not made a loud arrival since. Governance frameworks for agent accountability are still largely something each customer builds for themselves. And the honest answer to “which workflows are safe to hand to an autonomous agent” is still a shorter list than most vendor decks imply.

None of that makes Agentforce a bad bet. It makes it a project rather than a purchase.

Part 3: Dreamforce 2026, the confirmed facts

  • Dates: 15-17 September 2026
  • Venue: Moscone Center, San Francisco
  • Theme: “Where every business becomes an Agentic Enterprise”
  • Virtual: Free via Salesforce+, with 400+ sessions and 72 hours of programming

Scale

  • 1,600+ expert-led breakout sessions
  • 50+ visionary and product keynotes
  • 150+ hands-on training sessions
  • 240+ community roundtables
  • Live product demos across Slack, Agentforce, Data 360, Tableau, Customer 360 and Headless 360

Speakers confirmed so far

Marc Benioff delivers the opening keynote. Also confirmed: Matthew McConaughey, Sterling K. Brown, Tony Robbins, Sheryl Lee Ralph, and MIT AI researcher Renée Richardson Gosline. Salesforce is adding names regularly. The Dreamfest headliner has not been announced.

Gosline’s inclusion is worth flagging. Her research covers human-AI decision-making and the conditions under which people over-trust or under-trust algorithmic output. Putting that on a main stage, in a year where the pitch is autonomous agents in production, is not an accident.

Registration and pricing

PassPriceStatusLaunch Special$999ExpiredEarly Bird$1,499ExpiredLast Chance$1,899Through 20 August 2026Full Price$2,299After 20 August

Group registration of three or more brings it to $999 per pass, which is the cheapest route available by a wide margin and cheaper than the original launch special. The Trailblazer Bootcamp on 12-14 September can be added for $1,499 against a $2,299 list price. Discounted hotel blocks close on 21 August 2026.

One free certification exam is included per attendee. Registration requires a free Trailblazer account, attendees must be 18 or over, and Agenda Builder opens in August for session reservations.

Part 4: What to expect at Dreamforce 2026

Salesforce has confirmed dates, theme, session counts and product areas. Everything below is informed expectation based on the shipping pattern since October 2025, not company commitments.

  1. Proof replaces vision. The 2025 keynote sold a concept. The 2026 keynote has to defend an $11 billion quarter and a product line renamed around a promise. Expect named customers with hard before-and-after numbers rather than staged demos.
  2. Governance becomes a product, not a slide. The ADLC and observability work from TDX points toward a packaged agent governance layer covering testing, monitoring, escalation paths and audit trails. The market question has moved from “can an agent do this” to “who is accountable when it does it wrong,” and that is a gap Salesforce needs to close before regulated buyers commit.
  3. Agentic work units get formalized. Once a metric appears in quarterly earnings, it usually appears on a pricing page within a year. Watch for consumption-based packaging.
  4. Headless 360 expands. Salesforce as an agent backend behind a customer’s own interface is a real strategic shift. It means Salesforce is willing to give up the UI to keep the data and the logic.
  5. The Fin story gets told properly. The deal is expected to close in Q4 FY27, so it will likely still be pending during the event. Expect a clean split: Fin for fast-deployment SMB service, Agentforce for enterprise custom builds.
  6. Industry clouds get an agent layer. Financial services, healthcare, retail and manufacturing, with the Anthropic partnership doing visible work in the regulated verticals.
  7. Multi-model positioning gets louder. Claude for regulated industries, OpenAI for commerce and code. Salesforce has spent a year avoiding single-vendor dependency and will want credit for it.

Part 5: What this means for you

The right response to Dreamforce depends entirely on where you’re standing.

If you already run Salesforce

Your immediate concern isn’t the keynote. It’s the rebrand and the pricing signal. Sales Cloud is now Agentforce Sales. Service Cloud is now Agentforce Service. That renaming will eventually show up in your renewal paperwork, your admin training, and your internal documentation.

Three things to get clear before September.

  • Your data readiness. Data 360 is the dependency for everything else. If your org has duplicate accounts, inconsistent picklists and eight definitions of “active customer,” an agent will surface that problem faster and more publicly than any dashboard ever did.
  • Your consumption exposure. Work out what agentic work units mean at your transaction volumes before a consumption-based renewal arrives.
  • One workflow worth testing. Not your most important one. Pick something high volume, low risk and well documented, such as order status lookups, tier-one password resets, or lead qualification. Prove the model where a mistake is recoverable.

If you’re a Salesforce partner or consultancy

The demand signal is real and the capacity problem is worse. Agentforce implementations need data engineering, integration work, process mapping and test design. That is a wider skill mix than a standard Sales Cloud rollout, and one most boutique consultancies don’t have sitting idle.

The three weeks after Dreamforce are historically the heaviest inbound period of the year, because clients return from the keynote with a list of things they now want built. If your delivery capacity is already committed through Q4, that is a decision to make in August, not on 18 September.

If you haven’t started

Ignore the ARR numbers. They describe Salesforce’s business, not yours.

The useful benchmark is the deployment pattern. Organizations getting value spent significant time on data quality and process definition before they built anything. The ones that didn’t ended up with an agent confidently giving customers wrong answers from bad records.

Start with an honest assessment of what is actually in your CRM. It is less exciting than an agent pilot, and it is the reason the agent pilot will or won’t work.

Pre-Dreamforce readiness checklist

Work through this before 15 September and the sessions will be considerably more useful.

  • Audit data quality in the objects an agent would touch first: accounts, contacts, cases, orders
  • Document your top five customer-facing workflows as they actually run, not as the process doc describes them
  • Identify one candidate workflow that is high volume, low risk and clearly documented
  • Review your current Salesforce contract for renewal dates and consumption clauses
  • Confirm who in your organization owns agent governance, including testing, monitoring and escalation
  • Register for Salesforce+ even if you’re not travelling, and reserve sessions once Agenda Builder opens
  • Map your existing integrations. Agentforce is only as capable as the systems it can reach

Frequently asked questions

When and where is Dreamforce 2026?

15-17 September 2026 at Moscone Center in San Francisco. Free virtual attendance is available through Salesforce+ with 400+ sessions across 72 hours of programming.

How much does a Dreamforce 2026 ticket cost?

$1,899 through 20 August 2026, rising to $2,299 after that. Groups of three or more pay $999 per pass. Virtual attendance is free.

What was announced at Dreamforce 2025?

Agentforce 360 was the headline launch, alongside Agentforce Voice, Agent Script, Agentforce Builder, Agentforce Vibes, and the Data Cloud rebrand to Data 360. Salesforce also acquired Apromore, expanded its OpenAI partnership, signed a new partnership with Anthropic, and renamed Sales Cloud, Service Cloud and Marketing Cloud around Agentforce.

What is Agentforce 360?

A four-layer agent platform combining the Agentforce 360 Platform, Data 360, Customer 360 apps and Slack. It became generally available on 14 October 2025 and was built on learnings from more than 12,000 prior Agentforce implementations.

What is the difference between Data Cloud and Data 360?

Data 360 is the renamed Data Cloud, with two additions. Intelligent Context lets agents reason over unstructured data, and Tableau Semantics enforces consistent business definitions across the platform.

Is Agentforce actually being adopted?

Yes, at scale. Agentforce reached $1.2 billion ARR in the quarter ended 30 April 2026, up 205% year on year, with 3.8 billion agentic work units delivered that quarter. Adoption still requires meaningful data and process work before deployment.

What is Salesforce likely to announce at Dreamforce 2026?

Salesforce has not confirmed specific announcements. Based on the shipping pattern since October 2025, expect production case studies, agent governance tooling, Headless 360 expansion, consumption-based pricing signals, and integration positioning around the pending Fin acquisition.

Do I need to attend in person to see the announcements?

No. Salesforce+ streams the keynotes and 400+ sessions free. In-person value is concentrated in hands-on training, certification and networking rather than the announcements themselves.

Where to go from here

The pattern across the last eleven months is consistent. Agentforce works when the underlying data and processes are in order, and produces expensive disappointment when they aren’t. The technology is no longer the constraint. Implementation readiness is.

If you’re weighing an Agentforce project, or you’re already mid-implementation and the data layer is proving harder than the pitch suggested, a structured assessment before September is a cheap way to avoid an expensive detour.

Ashapura Softech offers a free 30-minute CRM health check. You get a written one-page findings document covering your data readiness, integration gaps, and the workflows most likely to succeed as a first agent deployment. There is no pitch deck and no obligation.

Book your CRM health check

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Salesforce

Salesforce CPQ + Agentforce for Custom Furniture Retail: A 120K-Contact Migration Case Study

Custom furniture retail has a math problem most CRM templates are not built for, and it is exactly the problem Salesforce CPQ exists to solve. Every order is a unique combination of dimensions, fabric grade, finish, and lead time. Every customer expects a delivery date they can plan a renovation around. Standard CRM quoting assumes a fixed catalog with a handful of SKUs – custom furniture doesn’t work that way, and treating it like it does is where most of these projects go wrong.

The retailer in this case study was running the entire process through spreadsheets stitched together with HubSpot. Quotes took roughly 45 minutes to build by hand, and configuration mistakes – a fabric grade paired with a dimension it wasn’t rated for – surfaced often enough that post-confirmation rework had become routine, not exceptional. There was no live connection to the Odoo ERP running production, so delivery commitments were educated guesses.

On the B2B side, interior designers, architects, and hospitality procurement teams sat in a spreadsheet disconnected from consumer order history, so the same designer could appear as two unrelated contacts depending on the channel they used.

Ashapura Softech replaced HubSpot, a bespoke order-management tool, and the spreadsheet layer with a unified Salesforce platform: Salesforce CPQ at the core of quoting, an Agentforce agent embedded in that workflow for design consultation and production-timeline checks, and Data Cloud turning room-planner behavior into Marketing Cloud-ready segments.

A note on timing, for anyone planning a similar project: Salesforce moved Salesforce CPQ to End-of-Sale status in March 2025 and has since concentrated product investment in Revenue Cloud Advanced (also marketed as Agentforce Revenue Management), which runs natively on Salesforce’s core object model rather than as a managed package on top of it.

This implementation was scoped on CPQ. Existing CPQ orgs still get support and renewals, and Salesforce hasn’t published an end-of-support date — but a retailer scoping a new build today should put Revenue Cloud Advanced on the table first. More on this trade-off below.

Key stats: 120K+ contacts migrated · 85K+ custom orders unified · 78% faster quote build time · B2B trade accounts unified · zero data loss

Salesforce CPQ configuration for custom furniture retail quoting
Salesforce CPQ replaced spreadsheet quoting for a custom furniture retailer.

Why Spreadsheet Quoting Fails Custom Furniture Retailers

Custom furniture catalogs – where a single sofa might have twelve dimension options, six fabric grades, four finish selections, and three lead-time tiers – make spreadsheet quoting genuinely dangerous. A spreadsheet has no way to enforce that an oversized frame can only pair with certain fabric grades. Nothing catches an invalid combination until the order reaches the warehouse floor, by which point the cost of rework – including the trust cost – falls entirely on the retailer.

This isn’t unique to one retailer. Industry research on quote-to-cash workflows consistently finds reps lose a large share of their week to exactly this kind of overhead rather than selling – one 2026 analysis of quote-to-cash automation put actual selling time at roughly 28–30% of a rep’s week, with the rest absorbed by manual quote-building, price checking, and approvals. Custom, made-to-order categories like furniture tend to sit at the worse end of that range.

Symptoms specific to this retailer:

  1. Custom quotes built manually – 45-minute average per quote, frequent configuration errors requiring post-confirmation rework.
  2. No visibility into production status – reps emailed the warehouse separately; delivery commitments were guesses.
  3. B2B trade accounts in isolation – designers/architects tracked separately, fragmenting relationship visibility.
  4. Marketing without room-planner insights – no tracking of inspiration-board or planner activity; every promo email went to the full list.

What Was Built with Salesforce CPQ: The Four Pillars

Pillar 1 – Sales Cloud + CPQ + Agentforce Design Consultation. Each configurable furniture line was modeled as a CPQ bundle: a parent product with child options grouped into features (e.g., “Fabric Grade,” “Finish”), using Min/Max selection limits so a rep can’t leave a required choice blank or pick two mutually exclusive finishes. Two rule types do the enforcement work spreadsheets couldn’t: product/configuration rules that block invalid combinations, and pricing rules that calculate upgrade costs the instant an option is selected.

An Agentforce agent embedded in the quote workflow – scoped to defined topics and actions, not open-ended org access – draws on Data Cloud’s unified customer profile to recommend complementary pieces, surface wish-list/room-inspiration saves, check live Odoo production timelines, and flag configs pushing into longer lead-time tiers before the quote goes out. Einstein Lead Scoring ranks inbound B2B trade inquiries by conversion probability.

Pillar 2 – Adobe Commerce + Data Cloud (Room Inspiration Tracking). Storefront behavioral events (board saves, wish lists, planner sessions, abandoned designs) stream into Data Cloud in real time, building behavioral segments Marketing Cloud uses for personalized journeys – abandoned-design re-engagement emails, price-drop alerts, style-matched suggestions – with English/Spanish delivery based on language preference.

Pillar 3 – Service Cloud Omnichannel (Damage Claims + Assembly Support). WhatsApp, email, and SMS route into one queue. Damage claims via WhatsApp (with photos) auto-route to the claims team, pre-linked to the order, SLA clock starting at submission. Delivery tracking surfaces inside the case. Dashboards show open claims by product line and resolution time.

Pillar 4 – B2B Trade Pipeline + Channel Engine. Designers/architects/hospitality accounts managed with full firm hierarchies. Trade pipeline runs on Sales Cloud + Salesforce CPQ. Channel Engine syncs Amazon Home and Wayfair orders near-real-time. Odoo manufacturing schedules surface inside trade opportunity records.

“Our reps were spending 45 minutes building a single custom quote in a spreadsheet — and still getting dimensions or lead times wrong. Now the same quote takes under 10 minutes, and Agentforce checks the production schedule from Odoo in real time so we can actually commit to a delivery date.” – VP of Sales, Home Furnishings & Interior Décor Retailer

The Migration Challenge: 120K Contacts, 85K Custom Orders, No Shortcuts

Scope: 120K contacts, 85K custom orders, 200K+ email activities, 40K support tickets.

1. BOM-to-CPQ Bundle Mapping – Catalog First, Always. The Salesforce CPQ catalog (bundles, option groups, rules) had to be fully built before any historical order import, since it’s the schema everything maps to.

2. Salesforce CPQ Price Engine Recalculation – Batch Control at Scale. CPQ recalculates pricing on every quote-line save — fine for one live quote at a time. Bulk-importing 85,000 multi-line orders is a different problem: if every inserted line triggers the same recalculation logic, a single import job can burn through a Salesforce org’s daily API limit before it finishes. The fix: disable the calculation engine during initial import, then re-enable it and recalculate in controlled daily batches of 1,000–2,000 orders over several weeks, with each batch verified before the next.

3. HubSpot Email Activity Migration – Two-Pass Python Script. Salesforce’s bulk loader can’t import email body content alongside header records in one pass. A custom two-pass script first imported headers/timestamps/relationships, then attached body content while preserving original send dates.

Key lessons:

  • Build CPQ bundles before importing any historical order data – no shortcuts.
  • An Agentforce agent referencing room-planner behavior turns generic suggestions into contextual design guidance.
  • Data Cloud behavioral segments outperform standard list-based segmentation because interest is demonstrated through design behavior, not purchase history alone.
  • B2B trade accounts should never sit in a separate, disconnected pipeline.

What Changed After Go-Live

  • Quote time: 45 minutes → under 10 minutes
  • Delivery commitments: backed by live Odoo ERP data via Agentforce
  • B2B trade accounts: unified pipeline with full order history and hierarchies
  • Damage claims: tracked end-to-end from WhatsApp submission to resolution
  • Marketing: segmented by room style and engagement, not full-list blasts
  • AOV: Agentforce’s complementary-piece recommendations naturally surface upsells

Should You Build This on CPQ or Revenue Cloud Advanced in 2026?

Worth answering directly. Salesforce put legacy Salesforce CPQ into End-of-Sale on March 27, 2025: no new licenses, no further feature investment, roadmap moved to Revenue Cloud Advanced. CPQ isn’t shut off – existing customers keep support and renewals – but new capability, including deeper native Agentforce integration, is landing on Revenue Cloud Advanced, not the CPQ managed package.

The distinction is mechanical, not just commercial. Legacy Salesforce CPQ is a managed package sitting on top of core Salesforce objects – part of why it needs calculation-engine workarounds at high volume. Revenue Cloud Advanced runs on Salesforce’s core-native object model – the same Quote, Order, and Contract objects Agentforce agents are built to read/write natively.

For this retailer, Salesforce CPQ was the right call when scoped, and remains fully supported. For a retailer starting a comparable build now, our honest read: evaluate Revenue Cloud Advanced first, especially if deep Agentforce automation is part of the roadmap. If your catalog is well understood and you need a proven data model fast, CPQ is still defensible – just know every customization is something you’ll eventually carry into a migration.

FAQs

How does Salesforce CPQ handle custom furniture configurations?
Via bundles with option groups (dimensions, fabric, finish, lead time) governed by configuration rules that block invalid combos and pricing rules that auto-calculate upgrade costs.

What is Agentforce and how does it help home furnishings sales teams?
An AI agent embedded in the Salesforce CPQ quote screen, grounded in Data Cloud, that recommends complementary pieces, surfaces saved inspiration/wish-list items, checks live Odoo timelines, and flags long lead-time configs.

How does Data Cloud integrate with Adobe Commerce for room-planner tracking?
Real-time event streaming captures board saves, wish lists, planner sessions, and abandoned designs, which Data Cloud turns into behavioral segments for Marketing Cloud journeys.

How do you migrate complex custom order/BOM data into Salesforce CPQ?
Build the full catalog first (bundles, options, Min/Max features, rules), then import and map orders; disable the price engine during import and recalculate in controlled daily batches to stay within API limits.

How does Service Cloud manage delivery damage claims?
Omnichannel routing auto-links WhatsApp photo claims to the order, starts the SLA clock at submission, surfaces delivery tracking in the case, and gives dashboards by product line.

Is Salesforce CPQ still the right choice for a furniture retailer starting a project in 2026?
CPQ went End-of-Sale in March 2025; Salesforce’s investment has shifted to Revenue Cloud Advanced, which is core-native and integrates natively with Agentforce. New builds should evaluate Revenue Cloud Advanced first. Existing CPQ orgs don’t need to migrate immediately but should plan customizations with that eventual move in mind.

Conclusion

Custom furniture retail is one of the most demanding Salesforce use cases because every order is essentially unique. Salesforce CPQ handles that complexity when configured correctly. Agentforce turns it from a quoting tool into a design consultation system – referencing room-inspiration behavior, checking live production data, and surfacing complementary pieces at the moment a rep is building a quote.

Categories
Agentforce

Salesforce Launches Missionforce AI for National Security Innovation

Introduction

Artificial Intelligence (AI) is no longer just a futuristic concept—it’s reshaping industries around the globe, and national security is at the forefront of this transformation. Governments, defense agencies, and intelligence organizations are increasingly adopting AI-driven solutions to improve decision-making, streamline complex operations, and strengthen security measures across multiple domains. Among these innovations, Missionforce AI has emerged as a pioneering initiative by Salesforce, dedicated to modernizing national security and government operations.

By integrating advanced AI algorithms, cloud-based infrastructure, and intelligent automation, Missionforce AI empowers agencies to enhance personnel readiness, optimize logistics, and make faster, data-driven decisions. This is more than just improving efficiency; it’s about precision, reliability, and enabling mission-critical operations to succeed in high-pressure environments. Whether it’s supporting defense strategies, intelligence analysis, or aerospace missions, Missionforce AI is designed to meet the complex demands of government operations while ensuring secure and compliant workflows.

As threats evolve and government agencies face unprecedented challenges, solutions like Missionforce AI are becoming essential tools. By leveraging Salesforce’s expertise in AI and cloud technologies, this platform is transforming how organizations approach national security, offering actionable insights and intelligent solutions that drive results.

What is Missionforce AI?

Missionforce AI is Salesforce’s dedicated business unit designed to integrate artificial intelligence into defense, intelligence, and aerospace operations. Unlike general-purpose AI tools, Missionforce AI focuses on addressing the specific needs of government agencies, providing solutions for operational efficiency, strategic decision-making, and mission readiness.

The platform is structured around three core areas:
  1. Personnel – Enhancing workforce readiness by tracking availability, training compliance, and personnel deployment.
  2. Logistics – Streamlining the management of resources, equipment, and supply chains to ensure missions operate smoothly.
  3. Decision-Making – Leveraging AI-powered analytics to provide actionable insights that guide critical operational choices.

The initiative is led by Kendall Collins, CEO of Salesforce Government Cloud, who brings a wealth of experience in cloud solutions for public sector organizations. Missionforce AI builds upon Salesforce’s existing infrastructure, including Agentforce for Public Sector, combining enterprise-grade AI with secure cloud workflows. This strategic leadership and organizational structure ensure that Missionforce AI is not just a tool but a comprehensive solution tailored for national security and government operations.

Key Features of Missionforce AI:

  • AI-Driven Personnel Readiness: Tracks training, availability, and deployment to optimize human resources.
  • Operational Logistics Management: Automates supply chain, equipment tracking, and mission-critical resource allocation.
  • Intelligent Decision Support: Provides predictive insights and scenario analysis to improve operational outcomes.
  • Government Compliance and Security: Ensures strict adherence to regulatory standards and data security protocols.

How Does Missionforce AI Work?

  1. Data Integration: Missionforce AI aggregates and unifies data from multiple government systems, ensuring that information is accurate, up-to-date, and accessible across departments.
  2. AI Processing: Machine learning models analyze data to detect patterns, predict potential issues, and optimize workflows. This allows agencies to anticipate challenges rather than simply reacting to them.
  3. Automation: Routine tasks, such as personnel reporting, supply tracking, and compliance monitoring, are automated, freeing up staff to focus on higher-priority strategic decisions.
  4. Real-Time Decision Support: AI-powered dashboards provide actionable insights that help leaders make informed decisions quickly, even in high-pressure situations.

The combination of these capabilities allows Missionforce AI to enhance operational efficiency, reduce errors, and ensure that critical government operations are executed seamlessly. By embedding AI into everyday workflows, the platform transforms complex processes into manageable, actionable insights.

Missionforce AI in National Security

National security operations are inherently complex, requiring rapid decisions under significant pressure. Missionforce AI is designed to address these challenges by enhancing operational readiness, improving logistics, and supporting intelligence analysis.

Applications in Defense and Intelligence:
  • Operational Readiness: By monitoring personnel availability and equipment status, Missionforce AI ensures that teams are always prepared for action.
  • Logistics Optimization: Supply chains, resource allocation, and mission-critical equipment are managed efficiently, minimizing delays and operational risks.
  • Threat Analysis: Predictive analytics help identify potential risks, enabling agencies to act proactively rather than reactively.
  • Decision Acceleration: Missionforce AI provides real-time insights to guide commanders and analysts, ensuring informed decisions during critical missions.

Government Applications

Beyond defense and intelligence, Missionforce AI has broad applications across other government sectors. Its AI-powered solutions are adaptable to a range of public sector operations, from aerospace missions to large-scale logistics and administrative tasks.

Key Government Applications:
  • Military Branches: Automating readiness reports, personnel tracking, and operational logistics.
  • Intelligence Agencies: Supporting data-driven analysis for national security initiatives and mission planning.
  • Public Sector Organizations: Enhancing resource allocation, compliance reporting, and operational oversight.

Through Salesforce’s GovCloud infrastructure, Missionforce AI ensures that all sensitive data remains secure and compliant with federal regulations. This makes it a trusted solution for government agencies looking to leverage AI while maintaining stringent security standards.

Security Concerns and Ethical Considerations

While AI offers tremendous benefits, it also introduces potential risks that government agencies must address. Missionforce AI is designed with security and ethical considerations at its core, but agencies should remain aware of key concerns:

  1. Data Privacy: Government operations often involve sensitive information. Missionforce AI ensures robust protection against unauthorized access while maintaining secure cloud storage.
  2. AI Ethics: Predictive models and decision-support tools must be designed to minimize bias and ensure ethical use. Salesforce incorporates strict AI governance policies to mitigate these risks.
  3. System Vulnerabilities: Cybersecurity threats can compromise AI-driven systems. Missionforce AI employs continuous monitoring, threat detection, and multi-layered security protocols to protect against breaches.

Benefits of Missionforce AI for Government Operations

Missionforce AI delivers measurable advantages across multiple dimensions:
  • Increased Efficiency: Automating routine tasks allows staff to focus on strategic decision-making.
  • Enhanced Accuracy: Predictive analytics reduce errors in logistics, personnel management, and intelligence analysis.
  • Faster Decisions: Real-time insights enable rapid responses to dynamic threats.
  • Improved Resource Allocation: Optimizes personnel, equipment, and operational resources for maximum impact.
  • Stronger Security Compliance: Adheres to federal regulations and industry standards to protect sensitive data.

FAQs

1. What is Missionforce AI?
Missionforce AI is Salesforce’s AI-driven platform designed to enhance national security operations, including logistics, personnel readiness, and decision-making for defense, intelligence, and aerospace agencies.

2. Who leads Missionforce AI?
Missionforce AI is led by Kendall Collins, CEO of Salesforce Government Cloud, and leverages Salesforce’s cloud infrastructure and Agentforce for Public Sector.

3. How does Missionforce AI improve national security?
By combining AI, automation, and cloud computing, Missionforce AI enhances operational efficiency, improves predictive analysis, and accelerates decision-making in high-stakes environments.

4. What are the main applications of Missionforce AI in government?
Applications include military operations, intelligence analysis, aerospace missions, personnel management, logistics, and compliance reporting.

5. Are there any security concerns with Missionforce AI?
Potential concerns include data privacy, AI ethics, and system vulnerabilities, all of which are addressed through robust security protocols, continuous monitoring, and governance standards.

6. How can government agencies adopt Missionforce AI?
Agencies can engage with Salesforce directly or utilize the GovCloud platform to implement Missionforce AI in a secure, compliant environment.

Final Thoughts

With Dreamforce approaching, Salesforce is preparing to give Agentforce a major boost, and Missionforce AI is expected to play a central role. Designed to streamline operations, enhance decision-making, and strengthen national security, Missionforce AI could showcase the company’s leadership in government AI solutions. Updates at the conference will likely highlight its real-world impact, adoption, and potential to shape the future of public sector technology.

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Salesforce

How to Leverage Agentforce for Sustainability Transformation

In today’s world, sustainability is no longer optional—it’s essential. From reducing emissions to achieving ESG (Environmental, Social, and Governance) targets, organizations are under increasing pressure to rethink their operations and environmental impact. Enter Agentforce, a revolutionary AI-driven framework integrated with Salesforce that empowers sustainability professionals with real-time insights, intelligent automation, and data-driven strategies for climate action.

This article explores how Agentforce transforms sustainability initiatives, its practical use cases, Salesforce’s own success with emissions insights, key considerations for organizations, and what the future holds. Let’s dive deep into how you can leverage Agentforce for a greener, smarter, and more sustainable future.

How Agentforce Empowers Sustainability Professionals

Agentforce is the intelligent AI layer of the Salesforce Platform that brings the power of autonomous digital workers to every corner of your business. These AI-driven assistants are perfect for handling time-consuming, data-heavy tasks, especially valuable for sustainability professionals who manage complex reports and large volumes of ESG data.

With Agentforce, you can streamline your workload, uncover valuable insights faster, and create more accurate, comprehensive sustainability reports with ease.

Hearst, a global leader in media and services, is already exploring how Agentforce can automate ESG tasks, enhance data accuracy, and strengthen its sustainability commitment. It’s not just about efficiency — it’s about transforming how sustainability goals are achieved.

Business Outcomes with Smart AI Integration

Because Agentforce works across all Salesforce applications, it connects ESG data with every part of your business, creating powerful opportunities to improve both performance and sustainability.

Cut Costs Efficiently

  • Smarter logistics: Reduce fuel and labor costs by optimizing truck routes through shared emissions data with Service Cloud. (Companies are already reducing truck rolls by up to 26%!)
  • Energy savings: Uncover decarbonization opportunities in water and energy usage.
  • Time savings: Automate data collection and reporting, freeing up employees for higher-value work.

Drive Revenue Growth

  • Eco-conscious selling: Deliver product-level emissions data directly to your Commerce, Sales, and Marketing teams enabling personalized ads, sustainability messaging, and higher engagement.
  • Success in action: Will Solutions, an environmental firm, is using Sales Cloud to drive 5X revenue growth through smart ESG integration.

Real-World Use Cases: How Agentforce Supercharges Sustainability Work

Agentforce isn’t just smart AI — it’s your new sustainability sidekick. From simplifying complex queries to automating repetitive tasks, Agentforce empowers ESG teams to do more, faster. Let’s explore how:

Get Instant Answers with a Simple Question

Sustainability teams are constantly fielding questions from leadership, stakeholders, and partners. With Agentforce, you don’t have to dig through spreadsheets or reports, just ask a question and get clear, accurate insights in seconds.

For example:
“Which office had the highest emissions per square foot in FY25?”
“How much renewable energy (in MWh) did we source last year through RECs and PPAs?”

Top Use Cases Where Agentforce Makes a Difference

Supplier Engagement Made Easy
Automatically respond to supplier questionnaires, boosting both engagement and data accuracy without the back-and-forth.

Simplify RFP Responses
Easily showcase your environmental and social impact to prospects, tailoring your responses to what matters most to them.

Faster Stakeholder Communication
Quickly answer ad hoc ESG questions from investors, customers, or internal leaders — with data-backed confidence.

Smarter Program Planning
Access past performance data instantly so program managers can make smarter, faster decisions for future initiatives.

Automate ESG Reports with Ease

As global ESG regulations become stricter, reporting isn’t just good practice — it’s a necessity. But the process doesn’t have to be overwhelming. Agentforce, the AI engine of Salesforce, streamlines your ESG reporting so you stay compliant and confident.

Smart Snippet Management
Whether it’s for voluntary disclosures or required filings like 10-Ks, Agentforce can build, update, and store ready-to-use content snippets aligned with key frameworks like ESRS, SASB, CDP, and GRI. All snippets are stored for future use, saving time and ensuring consistency year after year.

Automated Reporting Tasks
No more manual edits! Agentforce updates your ESG content automatically, adds the right documentation, and creates a clean audit trail. It’s faster, more accurate, and always ready for review.

Built-In AI Governance
Agentforce works within responsible AI governance frameworks, giving you peace of mind that your ESG data is handled ethically and securely.

How Salesforce uses Agentforce for emissions insights

At Salesforce, we’re the first customer, or “Customer Zero,” of Net Zero Cloud. Like many other organizations, our sustainability team needs to access critical ESG insights quickly. Our partners and customers frequently reach out with questions about our ESG metrics, and internal stakeholders need answers as well. Looking up the metrics, performing calculations, and responding to requestors require a large amount of time and resources. Agentforce presented an opportunity to transform how Salesforce’s sustainability team responded to these requests and managed data analysis.

The Salesforce sustainability team is using Agentforce to streamline emissions data retrieval and analysis, surfacing insights from the company’s own data in natural language. Trained on Salesforce’s environmental data and public documents, Agentforce delivers real-time, trusted insights, including historical emissions, energy consumption, and progress against climate targets via a conversational chat interface. Accurate data is essential for both ESG reporting and making informed decarbonization decisions. Now, Agentforce automates much of this data retrieval and analysis process, enabling instant access to insights while reducing manual effort. By automating these workflows, Agentforce is expected to save hundreds of hours annually, allowing the team to focus on more strategic and high-impact decarbonization efforts.

What organizations should consider before using Agentforce for sustainability?

To fully leverage the power of Agentforce, organizations should consider a few things.  Net Zero Cloud is an accelerator, thanks to its built-in data model and governance frameworks. And Salesforce puts trust and customer success at the center of everything it does. With that in mind, here’s what you should consider before getting started:

Data infrastructure: Net Zero Cloud is a single source of truth for all your ESG data, whether it comes from a structured or unstructured source. It’s important to ensure your data is clean and usable. Check out our guide to learn how Salesforce integrates ESG data with Net Zero Cloud.

Governance frameworks: Salesforce has developed an internal trust product framework, calling for model safety testing, human-at-the-helm product design, and in-app guidance to help Salesforce users interpret results. This framework extends to Net Zero Cloud and ensures the responsible use of AI, so you can maintain stakeholder trust.

Training and support: Both Net Zero Cloud and Agentforce are designed to be used by everyday employees. Customizing Agentforce for your company, however, will produce faster and better outcomes if done by a trained Salesforce admin. Because Net Zero Cloud is built on the Salesforce Platform and Agentforce is an agentic layer across all products, companies can use the same admin they use for all their other Salesforce products for custom agentic skills.

Step Into the Future of Sustainability with Agentforce

Gentforce is redefining what’s possible in sustainability. With its powerful AI-driven capabilities, it takes the complexity out of ESG management and empowers your team to focus on what really matters — making a meaningful impact.

By automating repetitive tasks, delivering accurate and timely insights, and boosting stakeholder confidence, Agentforce helps you reach your sustainability goals faster and more efficiently. It doesn’t just support your ESG efforts — it transforms them.

🌱 Why Agentforce Matters:

  • Automates manual work to save time and resources
  • Delivers reliable ESG insights to guide smarter decisions
  • Strengthens transparency and builds trust with stakeholders
  • Drives long-term value while accelerating sustainability impact

FAQs

1. What is AgentForce, and how does it support sustainability efforts?
Agentforce is the autonomous AI layer of the Salesforce platform, designed to automate data-intensive tasks, enhance ESG reporting, and provide real-time insights to help organizations make smarter sustainability decisions.

2. Can Agentforce integrate with existing Salesforce apps like Net Zero Cloud?
Yes! Agentforce seamlessly integrates across all Salesforce products, including Net Zero Cloud, enabling unified ESG data management and reporting.

3. How does Agentforce help in regulatory compliance for ESG?
Agentforce automates the creation of compliance-ready reports aligned with global ESG standards like ESRS, CDP, SASB, and GRI, while maintaining audit-ready documentation.

4. Is Agentforce suitable for small to medium-sized businesses?
Absolutely. AgentForce is scalable and customizable, making it ideal for organizations of any size looking to enhance their sustainability efforts.

5. How can Ashapura Softech help implement Agentforce?
Ashapura Softech offers end-to-end consulting, integration, and support services to help you deploy Agentforce effectively and maximize your ROI from sustainability transformation.

Conclusion

Agentforce is more than just an AI tool; it’s your strategic partner in driving real, measurable sustainability transformation. From automating ESG reporting to generating actionable insights and streamlining stakeholder communication, Agentforce empowers your organization to meet evolving sustainability goals with greater efficiency and confidence. At Ashapura Softech, we help businesses integrate Agentforce with Salesforce to unlock its full potential and accelerate their ESG impact. Ready to lead your organization into a smarter, more sustainable future? Contact us with our experts at [email protected] and discover how Agentforce can transform your sustainability journey.