Not a chatbot in a sidebar. Per-app agents that execute real, governed tool calls on your data — with your identity, your permissions, and PII redaction by default.
The AI layer is a native platform module — the same tenant isolation, permissions, and audit trail as every other part of CRM-G.
Sales and Service agents ship with every tenant — each with its own persona, topic routing, and scope. Talk to the agent that knows your app.
What the AI can see and do is defined by topics and actions your admin controls — not by whatever the model improvises.
Every tool call runs as the signed-in user. Row-level security, access scopes, and the audit trail all behave exactly as if you clicked it yourself.
Answers grounded in your knowledge base — documents and crawled pages indexed with vector search, scoped per tenant.
Sensitive fields are redacted before the LLM sees them. Input/output filtering and per-tenant guardrails ship by default.
Admins test agents in a chat simulator before rollout, then track usage with per-tenant analytics and AI token quotas.
AI that changes your data has to earn trust. The AI layer treats every write as a governed, confirmable, auditable event.
Creates and updates are proposed first — you confirm before the action executes. No silent mutations.
Every AI-initiated action lands in the same append-only audit log as human actions, attributed to the user who asked.
A Salesforce connector and a Slack gateway extend the assistant beyond the CRM — governed by the same action framework.
Request a demo workspace — the Sales and Service agents come pre-configured with seeded demo data.