L4 — Tool / MCP Inference Core

Your CRM data, in the intelligence loop.

Native CRM Intelligence Integration

Salesforce integration brings your CRM data directly into the intelligence stack. Virtual employees can access customer records, update opportunities, manage contacts, and trigger workflows — all through governed, audited connections. The integration isn't just read access; it's bidirectional, allowing AI agents to both consume CRM intelligence and contribute back to it.

What Salesforce delivers

01

Bidirectional Sync

Read customer data for decision context. Write back insights, update records, and trigger automated workflows. The CRM stays current without manual data entry.

02

Object Mapping

Salesforce objects map to your domain schema entities. Accounts, Contacts, Opportunities, Cases — each connected to the corresponding domain model.

03

Workflow Triggers

AI agents can trigger Salesforce workflows and automation rules. A virtual sales assistant can update a deal stage, which triggers the associated notification and approval process.

04

Real-Time Queries

Access live CRM data during AI processing. When a virtual employee handles a customer interaction, they pull the latest account history and preferences in real time.

How it connects across the stack

Salesforce works in concert with other layers in the intelligence stack — each connection amplifying the capability of both components.

MCP ActionsVirtual EmployeesKnowledge RepositoryCrosswalk Index

Why it matters

Unify your CRM intelligence with your broader organizational knowledge. AI agents that understand customer context from Salesforce, combined with institutional knowledge from the repository, deliver significantly better customer interactions.

See Salesforce in action

Discover how Salesforce fits into your enterprise intelligence strategy.

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