A Guide to Salesforce Headless 360

A Guide to Salesforce AIforce (fka Headless 360)

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Updated September 2026 to reflect Salesforce's rename of Headless 360 to AIforce Salesforce renamed Headless 360 to AIforce on September 4, 2026, and says the functionality is unchanged. At Dreamforce 2026 it also launched AIforce as a live interface layer that brings Salesforce data, workflows, and permissions into tools such as Slack and Claude. You will see both names for a while. This guide covers Headless 360 for the architecture underneath. For most of its history, Salesforce has been a place your team goes to. People log in, check a dashboard, work a queue, update a record, and move to the next step. AIforce (fka Headless 360) changes that relationship. Instead of being somewhere your team visits, Salesforce becomes the engine that powers work in the background, across the surfaces where your people and customers already are: Slack, voice, mobile apps, customer portals, and AI assistants.

What is Salesforce AIforce (formerly Headless 360)?

Salesforce AIforce, formerly Headless 360, lets your CRM power work in Slack, voice, mobile apps, customer portals, and AI assistants, without anyone having to open Salesforce to trigger it.In practice, this means sales, service, and marketing can run wherever the work already happens, without rebuilding the same logic in every channel. Now let’s start with the word "Headless”. It means the front end and the back end are separate. The front end is the screen a person sees: a website, a mobile app, a Slack message, an agent desktop. The back end is where the business logic lives: your data, workflows, rules, permissions, and security. Think about how you listen to music. The same playlists and history follow you from your phone to your car to a smart speaker, because the experience is not tied to one screen. Headless 360 applies that principle to business software. The interface is decoupled from the system, so the same customer data, workflows, and logic can travel across many channels and tools. The "360" points to the broader idea that your customer data, business context, and workflows should work together across your entire Salesforce estate, rather than staying trapped inside one app or one browser session. In practice, AIforce/Headless 360 connects the systems your people work in, the systems where work gets done, the systems that hold context, and the new layer where AI agents act, so that humans and agents operate on the same governed foundation.

What do API, MCP and CLI mean in plain English

The AIforce/Headless 360 conversation comes with many acronyms. Here are explanations for the main terms. API, or application programming interface, is a standardized way for one system to ask another system to do something or return information. MCP, or model context protocol, is in effect an API for agents. Where an API tells a system what to do, MCP helps an AI agent understand which tools are available and how to use them. CLI, or command line interface, matters here mainly because it signals that Salesforce is exposing capabilities through agent- and developer-friendly interfaces, not only through screens. UI, or user interface, is the visible screen a person interacts with. One simple way to remember the model: people access software through UIs, systems access software through APIs, and AI agents access software through MCP tools and Headless 360 opens Salesforce to all three. The Salesforce interface is not going anywhere. This is not about removing screens. It is about extending Salesforce beyond the screen, so its value shows up in more moments, with more automation, without a person having to open the app to trigger it.

Why does Salesforce AIforce matter now?

AIforce matters now because enterprise software is no longer built only for people. AI agents need to act inside business systems too, and AIforce turns Salesforce from a place people visit into a governed engine that agents and channels can use. Software used to be built almost entirely for human users. The agentic enterprise needs software that is also built for agents to act within. That shift is what makes AIforce/Headless 360 more than an integration story. It turns Salesforce from a destination into a programmable execution layer for the business.

Before and after AIforce/Headless 360, in plain terms

Before AIforce/Headless 360, Salesforce value was usually triggered by a person. Someone logged in, checked a dashboard, clicked through a process, and triggered the next step by hand. Even where automation existed, many journeys still depended on a screen-centered design and a separate build for each channel. After AIforce/Headless 360, Salesforce can be the governed engine behind many experiences at once: a case action in a service console, a prompt in Slack, a voice interaction, a WhatsApp message, a portal workflow, or an AI-written summary waiting for a manager in the morning. Salesforce moves from a destination your team visits to an operating layer that runs in the background. Too much manual work. People spend their time documenting work instead of doing it or spend their time on necessary but low-value work with not enough time to properly address situations where high empathy is required. Headless 360 lets summaries, updates, follow-up tasks, and guided next actions be triggered directly from the channel where the work is already happening. Change that takes too long. Many transformation efforts stall because every new journey or channel becomes another project with another front end and another rebuild of the same logic. When the logic stays in Salesforce and only the surface changes, teams can reach more channels faster. Experiences that drift. When every channel carries its own process logic, customer and employee experiences slowly fall out of sync. Headless 360 lets the same governed rules and workflows travel with the experience, whether it appears in Slack, on voice, on mobile, or in a custom app. Value trapped inside the CRM. A lot of CRM spending only pays off when someone opens the system and uses it. AIforce/Headless 360 widens the number of places and moments where those investments create value.

Where does the business value of AIforce/Headless 360 comes from?

The value of AIforce comes from four places: productivity, reuse of what you already own, faster launches for new journeys, and governance that stays consistent as automation grows.Productivity, because people spend less time on manual navigation, re-entry, and duplicate steps, and more time on the work that needs judgment and empathy. This is usually the easiest near-term value story to see. Reuse, because Headless 360 extends what you already own rather than replacing it. Existing apps, portals, permissions, compliance controls, and workflows can surface in more places instead of being rebuilt. Faster innovation, because new customer journeys, internal tools, and AI-enabled experiences launch in less time when the logic does not have to be reconstructed each time. Governance at scale, because the same rules, permissions, and audit trail follow the work everywhere. As automation grows, that consistency is what keeps it trustworthy and avoids the cost of fragmented, inconsistent compliance.

What does AIforce/Headless360 look like by business function?

Across functions, the pattern is the same: work happens in the tools people already use, while Salesforce applies the rules in the background. How does AIforce/Headless 360 help customer service? With AIforce/Headless 360, a customer conversation can begin in chat, move to voice, and carry the same context, next-best actions, and policy-driven resolution the whole way, because Salesforce is powering the flow behind the scenes. That helps reduce load on the contact center and keeps experiences consistent across channels. How does AIforce/Headless360 help sales and revenue teams?In sales and revenue operations, instead of relying on reps to keep the system updated, activity can be captured and the next action surfaced in the tools people already use, with Salesforce as the governed source of truth. How does AIforce/Headless 360 help marketing? In marketing, segmentation, personalization, and campaign actions can respond to what is happening across the full customer lifecycle, not just inside one campaign tool, while still relying on the same underlying governance. How does AIforce/Headless 360 help field service? In field service and other mobile work, technicians get the context and the next step inside the systems they already use, instead of navigating back into a central app every time they need information or action. How does AIforce/Headless 360 work in regulated industries? In regulated industries like financial services and healthcare, connected experiences can span portals, apps, messaging, and advisor or care-team workflows, with the same controls applied everywhere.

What should one know before investing in AIforce/Headless 360?

Before investing in AIforce, leaders should ask five things: where manual work persists, which journeys are duplicated, which rules should be reused, what it will cost to run, and which measure would prove value fastest.Where are teams still doing manual work because Salesforce only creates value when someone logs in? Which journeys are duplicated across channels and could run on one shared layer of logic instead? Which existing rules, permissions, and workflows should be reused rather than rebuilt in another tool? Which measure would prove value fastest: time saved, faster deployment, better service levels, cleaner data, or higher conversion? How does one get started with Salesforce AIforce/Headless 360? Start with one process and one measure, not the whole platform. A single result somebody can point at is what funds the next project. If you are weighing how to go about Headless 360 or where this fits in your roadmap, that is a conversation worth having early. Let's have that conversation. Talk to OSF about where AIforce/Headless 360 fits in your roadmap, and we will help you find a starting point and a way to prove its value on a process that matters to you. OSF Digital, an AI-forward, data-driven, Salesforce-centric consulting services company, helps global enterprises navigate technology complexity and modernize their operations through expert-led strategy, multi-cloud execution, and measurable outcomes. We combine deep technical expertise, industry insight, and a distinctive partnership mindset to simplify complexity and deliver real business value, from advisory through implementation to managed services. We work with Fortune 500 and regulated enterprises where the cost of getting it wrong is high, demonstrating measurable growth, building on trusted data, and putting intelligent agents into production.
Marlena Hij
Marlena Hij leads the content function at OSF Digital. She writes about Salesforce solutions and enterprise AI, with a focus on what it takes to move from decision to production, drawing on OSF Digital experts, delivery teams and customer programs. Before OSF Digital, she spent five years at Japan Tobacco International in commercial roles across Spain and Portugal, ending as Market Manager for Travel Retail with P&L ownership and a thirty-person field team, and four years at IBM Europe in marketing automation and campaign management.
Marlena Hij
Contact: Kateryna Melkomukova
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FAQ

Yes. Salesforce renamed Headless 360 to AIforce on September 4, 2026, and says the functionality is unchanged. At Dreamforce 2026, the AIforce name was also given to a wider interface layer that includes Claudeforce and Slackforce.

Agentforce is Salesforce's platform for building and running AI agents. AIforce is the layer on top of Agentforce, Data 360, and Customer 360 that brings Salesforce context to whatever interface someone is using.

Salesforce has named Slack, Claude, Amazon Quick, and Google's Gemini Enterprise. Through the Model Context Protocol, agents built on other platforms can also reach Salesforce capabilities.

Claudeforce is the partnership between Salesforce and Anthropic. Its first product, Salesforce in Claude, launched with 37 prebuilt sales skills and is now part of AIforce.

Yes. With Salesforce in Claude, for example, Claude sees only what a given user is authorized to see and can only do what that user is authorized to do. Permissions control what an agent can reach. How much a single action can change is a separate design decision.

No. A standard integration connects two systems point to point. AIforce exposes governed business capabilities that carry your permissions and rules with them, so every agent and channel reaching Salesforce follows the same logic.

It can. Salesforce has flagged new licensing, billing, and agent registration requirements for this capability. Confirm what applies against your current agreement before scoping.

Not necessarily. It depends on whether your first use case needs data that lives outside Salesforce, and a project scoped to standard Salesforce objects can typically proceed without it.

Start with one process where rules are duplicated across channels or work happens outside Salesforce, and attach a measure to it.

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