Salesforce Rolls Out the Trusted Enterprise AI Harness

Salesforce has introduced Enterprise AI Harness that brings together six capabilities spanning context, agency, action, governance, security, and models, delivered through a common, composable architecture and built on the customer relationships, processes, and controls already running the business. Alongside those capabilities, a new AI Control Plane gives businesses one place to see, manage, and control agents and AI as they spread across the enterprise. Customers can use the six together as one system or take only what they need, with Salesforce technology, their existing technology, or both, including third-party models, agents, and systems.

Salesforce’s Enterprise AI Harness

This is the architecture enterprises need for the AI era — and it’s the architecture Salesforce has been building toward for decades. The trusted customer data, metadata, semantics, business logic, workflows, permissions, security, and governance that companies already rely on to run their businesses can now become the foundation for how AI understands, reasons, and acts.

Salesforce is drawing on the core technologies from across Data 360, Informatica, MuleSoft and Agent Fabric, Tableau, Agentforce, Salesforce Guardian and the Salesforce Platform through a common, composable architecture and unified experience for its Enterprise AI Harness. For existing Salesforce customers, the technologies they already use provide the foundation for this expansion, with an upgrade path to unlock new capabilities as they become available.

The Six Trusted Capabilities

Trust is designed into each of the six capabilities from the start. Together, they give AI what it needs to understand the business, determine what to do, take action, and operate within enterprise controls. For a question like “Can we fulfill this order today?”, each plays a different role.

Trusted Context brings together customer context with data, metadata, semantics, knowledge, real-time signals, memory, and an understanding of how work gets done across the enterprise. Grounded in governed enterprise data, it gives AI a shared understanding of the customer and the business around them. For the order, it means understanding the customer, their contract and entitlements, available inventory, and what “available” means for them.

Trusted Agency gives agents the reasoning, planning, state, memory, collaboration, and orchestration they need to pursue complex business outcomes — combining flexible AI reasoning with deterministic controls where certainty is required. It helps determine whether the order can be fulfilled and what needs to happen next, while following the business rules that require certainty.

Trusted Action securely connects AI to applications, APIs, workflows, tools, and business processes so agents can move from understanding what needs to happen to getting it done. It allows the agent to reserve inventory, update the order, trigger fulfillment, or engage a person when needed. The outcomes of those actions can then flow back into Trusted Context.

Trusted Governance helps enterprises govern the data, metadata, policies, and processes AI relies on, with lineage, quality, guardrails, and controls. It helps ensure the answer is based on trusted information and that the agent follows the policies governing how the order should be handled.

Trusted Security applies identity, permissions, privacy, data protection, and runtime security to what AI can access and what agents are allowed to do. It helps to ensure that the agent can only see the customer information and take the actions it is authorized to access.

Trusted Models gives enterprises the flexibility to securely connect the right model for each job, with intelligent model routing based on accuracy, performance, cost, and business requirements. It helps to ensure that  the work can be routed to the right intelligence for the task, while giving the business flexibility to change models as technology evolves.

“The Agentic Enterprise won’t be defined by which model a company chooses. Models will continue to change, and intelligence will increasingly be available everywhere. What will differentiate an enterprise is the trusted, proprietary context it brings to that intelligence — starting with the customer — and its ability to securely turn that context into action,” said Rohan Kumar, President, Chief Platform and Engineering Officer. “That’s what we’re building with Salesforce’s Enterprise AI Harness: a system where every interaction and action can create new context and intelligence, making the enterprise’s context richer over time while operating with the security, governance, and control businesses need to trust AI at scale.”

A New AI Control Plane for the Enterprise

As agents and AI spread across the enterprise, businesses need a consistent way to know what AI is operating across their organization, how it is performing, what it is allowed to do, and how much it costs.

Salesforce is introducing a new AI Control Plane to give businesses a common place to see, manage, and control agents and AI across the enterprise. It enables companies to discover and register agents and AI capabilities, establish identity and policy, manage lifecycle, evaluate performance, observe behavior and outcomes, and control cost — across Salesforce and third-party AI.

This gives enterprises a consistent layer of visibility and control as AI expands across teams, applications, models, and systems — without requiring every agent or AI experience to be managed separately.

Built for Choice and Openness

Salesforce’s Enterprise AI Harness is designed to meet customers wherever and however they choose to build and use AI.

A new unified, modern experience will make it easier for different teams to work with the capabilities most relevant to them — from context and governance for data leaders, to identity and policy for security leaders, to agents, models, and actions for builders.

The Enterprise AI Harness is also being built headlessly from the ground up, with capabilities accessible through technologies including MCP, APIs, Skills and Plug-ins. This allows Salesforce capabilities to extend beyond traditional Salesforce applications and into the AI experiences where people already work — including Claude, Slack, Microsoft Teams, Agentforce, and other AI experiences — advancing the broader AIforce strategy to bring Salesforce to any AI, agent, app, or surface.

Availability

Many of the technologies that form the foundation of Salesforce’s Trusted Enterprise AI Harness are available today, with new capabilities and the unified experience planned to begin rolling out in early fiscal FY28.

Existing customers will be able to upgrade eligible Salesforce investments to unlock new capabilities as they become available.