AIforce Guide
How we navigate our enterprise systems is undergoing a fundamental shift.
For decades, enterprise software required humans to navigate applications click-by-click. Today, work happens through conversational AI agents embedded directly where employees collaborate.
The real challenge isn't building more agents — it's unifying humans, agents, and apps around a single source of truth.
AIforce is powered by the Headless Toolkit, making every capability accessible via API, MCP, or CLI. Now, humans and AI can co-create using the same trusted data, logic, and governance your business already relies on.
Jump to a Chapter
Chapter 1
Introduction to going headless
Two ways to get work done.
Chapter 2
Building apps, agents, and experiences today
Build once, deploy everywhere.
Chapter 3
Scale with governance
Trust at the core.
Chapter 1
Introduction to going headless
Every business runs thousands of small workflows every day.
A customer asks a question.
A seller needs context.
A service team resolves an issue.
An employee requests approval.
The work is often the same. What changes is the number of systems, screens, handoffs, and delays between the request and the outcome.
As organizations rely on both human employees and AI agents , the gap between browser-bound and headless approaches is growing. It can be the difference between your AI investments compounding or stalling.
One request. Two paths.
The Browser-Bound Enterprise
For A typical workflow for an Account Executive…
- A request lands in an inbox.
- Someone reads it and mentally connects the dots on what needs to get done.
- They open Salesforce, find the record, and act. They wait until their coworker can respond to their question.
The Headless Enterprise
For a typical workflow for an Account Executive…
- A message in Slack triggers an agent instantly.
- It immediately reads the intent, calls the right Salesforce tool, and acts.
No tabs open, and work starts the moment it is asked for.
The Browser-Bound Enterprise
Employees must log in to several systems, toggling between tabs until they find the answers they’re looking for.
The Headless Enterprise
With the Headless Toolkit, all data is accessible in the same system of record, reachable via API, MCP, or CLI. The agent retrieves the full picture while remaining under the same security model as the UI.
The Browser-Bound Enterprise
Point to point, often by scraping the UI. When a screen changes, the integration breaks, and no one knows until something downstream fails.
The Headless Enterprise
Through conversation, token-scoped tools, and commands. Connections are explicit, versioned, and observable.
The Browser-Bound Enterprise
Employees, customers, and end-users learn the software. Learning how to navigate can take weeks. The tool sets the pace.
The Headless Enterprise
Through the agent, wherever they already work. The agent handles navigation. People spend their time on the decision. The work sets the pace.
KEY TAKEAWAYS
- Decoupling logic from the browser frees teams from navigating complex software so they can focus on making decisions where they already work.
- Headless Toolkit gives agents full, secure data context that won't break when screens change.
Chapter 2
Building apps, agents, and experiences today
At the heart of the Headless Toolkit is the Headless Experience Layer, which separates your business logic, data, and permissions from the screen. You define your business intent once, and the Headless Experience Layer renders it natively wherever work happens — inside Slack, Claude, Microsoft Teams, WhatsApp, or a mobile app. For teams building fully custom apps, Salesforce Multi-Framework lets you use industry-standard UI frameworks like React to build that experience natively on the platform.
Ship headlessly in six steps.
1. Plan
Work begins wherever people or agents already operate. The request starts in natural language, not a browser.
2. Build
The request is translated into the Salesforce capabilities needed to complete the task. Agents use self-describing MCP, API, and CLI tools to retrieve context, access workflows, and perform actions.
3. Test
The solution is thoroughly validated to ensure accuracy, safety, and proper functionality. Identity, permissions, and governance guardrails are fully verified before any action is executed.
4. Deploy
The request executes against trusted Salesforce data, workflows, and business logic. With trusted context in place, the agent can retrieve information, update records, trigger workflows, orchestrate processes, and complete business actions.
5. Observe
Outcomes and agent behaviors are continuously monitored in real time. Performance results are tracked closely, allowing teams to analyze data and adjust workflows as needed.
6. Extend
The result is returned to the surface where work began. Define experiences once and render them across Slack, Teams, mobile, AI assistants, and custom applications.
KEY TAKEAWAYS
- Separating business logic from the screen lets you build intent once and run it natively across any surface.
- Work flows naturally from natural language requests to self-describing tool execution, continuous observation, and real-time refinement.
Chapter 3
Scale with governance
Opening up your systems to autonomous AI agents presents a significant governance challenge. That’s why trust is not a feature, it’s a fundamental part of AIforce’s headless architecture.
Security can no longer just be about who is logging in – it must include what the agent is allowed to do, why it's doing it, and whether the underlying data can be trusted.
AIforce is designed with governance built in
Inherited governance
Agents instantly inherit your organization's existing Role-Based Access Controls (RBAC), Field-Level Security (FLS), and sharing rules.
Trust layer
Every headless call routes through the Trust Layer — which providesenterprise-grade AI guardrails.
Advanced security
For specific organizational needs, Salesforce offers solutions to enhance your org’s headless security posture.
KEY TAKEAWAYS
- Governing autonomous agents requires looking beyond simple user logins to strictly control what an agent can do and why.
- Deeply embedded security routes every headless call through an enterprise trust layer to keep data safe and actions validated.
Next steps & resources
Headless Toolkit paves the way for true human-agent collaboration by decoupling business logic for deployment anywhere. With secure, employee-level AI access, your business can scale agentic collaboration — bridging human expertise and autonomous AI to usher in the next evolution of modern work.
Try Headless Toolkit for free
Are you ready to go headless? Sign up for our 30-day free trial — no credit card or commitment required.
Guide to Agent, App, and Headless Development
Build, test, and deploy headless agents and apps securely. Use this framework to simplify AI complexity, and innovate faster and more securely.
Dreamforce Security Keynote
Outpace evolving threats and accelerate AI initiatives with ironclad trust, visibility, and guardrails.
Builder Central
Enable anyone to configure, build, and deploy apps and agents on Salesforce using plain language.
Salesforce Multi-framework
Build AI agents and apps using industry-standard UI frameworks like React, running natively on Salesforce.
The Headless Experience Layer
Define your business logic, and deploy everywhere — without rebuilding. Follow your users wherever they work.
AI Skills and Plugins
Establish consistent outcomes across every surface. Browse, install, and build on skills, from simple data lookups to complex multi-step actions.