Built for governed AI operations

AI control for the systems your business already runs on.

Camelot gives every team a secure, tenant-isolated control layer over their existing SaaS stack. Connect MCP-powered systems, let users act in plain language, and turn repeat work into governed workflows without exposing secrets or losing operational control.

Book a demo See how it works

Multi-tenant by designServer-side secretsAudit-ready execution

Connect CRM, support, knowledge, and internal systems through MCP.

Use chat for fast action and workflows for repeatable execution.

Keep roles, permissions, audit trails, and secrets under your control.

Policy engineActiveExecution guardrails loaded

Tenant boundaryEnforcedWorkspace context verified

Connected systems3 liveZoho, HubSpot, Notion synced

Audit trailRecordedLatest run persisted successfully

camelot.ai · tenant workspace · governed execution

Update the CRM, create a follow-up task, and log the activity for the revenue ops team.

I'm resolving the tenant-scoped CRM and tasking tools, then I'll record the run in the audit trail.

tool execution · tenant policy check passed · CRM updated · follow-up task queued · audit event recorded

Done. The action stayed inside this tenant workspace, credentials remained server-side, and the execution trail is ready for review.

@workflow_runTurn this into a reusable weekly process...

Built for operations teams that need AI execution without giving up governance.

Zoho CRM

HubSpot

Notion

Jira

Google Workspace

Salesforce

Slack

Zendesk

Asana

Zoho Desk

Zoho CRM

HubSpot

Notion

Jira

Google Workspace

Salesforce

Slack

Zendesk

Asana

Zoho Desk

Proof surface

Tenant-safe execution

Every action resolves against tenant context before it can run.

Proof surface

Server-side secrets

Credentials stay encrypted and off the client surface.

Proof surface

Audit-ready runs

Execution records, policy outcomes, and operator context stay visible.

The problem

Your teams already have the tools. They do not have a safe AI control layer.

Most AI products stop at chat. Most automation tools stop at workflows. Neither gives operators a clean way to connect tenant-specific systems, control access, route actions safely, and keep a real audit trail across everything the AI does.

Disconnected assistants

Most AI tools stop at chat and never become a governed action layer across the systems your team already uses.

Brittle automation

Most workflow tools can automate steps, but they do not share context, permissions, or operational reasoning with AI-driven execution.

No shared control plane

Operators are left stitching together credentials, approvals, and audit visibility across products that were never designed to work together.

The solution

Camelot sits between your people, your AI, and your business systems.

Camelot turns your existing SaaS stack into a governed action surface. Each tenant connects its own MCP-compatible systems. Camelot discovers the available tools, keeps credentials server-side, and lets users either ask for work in natural language or run structured workflows against the same live catalog.

Connect your systems once

Register MCP endpoints, sync each tenant's tool catalog, and keep every connection isolated, encrypted, and ready for use.

Let teams act in plain language

Give users a chat interface that understands tenant context, available tools, uploaded files, and workflow state without leaking cross-tenant access.

Automate repeat work

Move from one-off AI actions to reusable workflows with manual, scheduled, or event-based execution paths.

Control-plane narrative

One layer between your people, your AI, and the systems that execute work.

Camelot is not another system of record and not a generic chatbot. It is the governed layer that routes intent into safe execution, policy checks, and inspectable outputs.

Faster executionSafer accessCleaner audit trail

People

AI assistant

Camelot control layer

Policies

Connected systems

Governed outputs

crm_update_dealApproved

policy_ruleTenant gate passed

audit_eventRecorded

How it works

One control plane. Two ways to operate.

Connect MCP-compatible systems for each tenant.

Camelot syncs the live tool catalog and keeps credentials encrypted server-side.

Users either ask Camelot to take action in chat or build workflows on top of the same tools.

Camelot executes against the right tenant systems, records the run state, and preserves an operational trail.

For ops, support, revenue, and platform teams

See how Camelot fits into your current stack in an architecture walkthrough.

Request walkthroughResponse within 24 hours

Why teams choose Camelot

Built for governed execution, not just generated text.

Camelot is designed to make integrations, execution, and operational review feel like one coherent system instead of a pile of disconnected assistants and automations.

Tenant isolation by design

Every workspace resolves access through tenant membership and role data, not loose frontend checks.

Secrets stay server-side

MCP URLs and credentials are encrypted at rest and never exposed back to the client.

Chat and workflows share the same tool layer

Teams can explore actions conversationally, then operationalize them without rebuilding integrations.

Human-readable operational context

Users can inspect connected systems, run flows, and workflow state from a single workspace instead of juggling separate tools.

Ready for real business systems

Camelot is designed for CRMs, service systems, knowledge platforms, and internal tooling, not just toy demos.

Governance-first execution boundaries

Identity, permissions, tool visibility, and run policies remain under your control before an action is executed.

Core product modules

Everything you need to operationalize AI safely

Tenant boundaries · policy checks · catalog sync

Control plane

Multi-tenant workspace, super-admin oversight, MCP connection management, and live tool discovery in one governed layer.

Natural language · structured actions · streaming

Chat execution

Tenant-scoped chat with tool selection, streaming responses, file-aware context, and action execution against connected systems.

Reusable flows · run state · trigger orchestration

Workflow automation

Manual, scheduled, and event-triggered workflows built on the exact same live tool inventory used in chat.

Audit logs · role gates · secrets server-side

Governance

Role-based permissions, audit-ready execution records, secret handling, and operational review surfaces for serious teams.

Use cases

Where Camelot fits first

Revenue operations

CRM update timeline

Let teams update CRM records, enrich leads, and coordinate follow-up steps through chat or reusable workflows.

Support operations

Escalation action thread

Connect support systems and internal knowledge sources so agents can trigger actions and escalations without leaving the workspace.

Internal operations

Approval workflow rail

Coordinate approvals, records, and back-office tasks across multiple systems with one governed AI surface.

Platform teams

Tenant control map

Provide AI execution to multiple customer or business tenants without collapsing your isolation model.

Operational proofLatest governed run

Tenant route resolved acme/revenue-ops

Policy engine approved crm_update_deal

Audit event persisted run_1488

Workflow state saved followup-sequence

Inside the system

The product gets more credible when trust is visible.

Camelot should not just describe governance. It should show route resolution, policy approval, secret handling, and audit recording as part of the user story.

Without CamelotDisconnected chat and automation

With CamelotOne governed execution layer

Governance

AI execution with the controls serious teams expect

Camelot is designed so identity, tenant access, permissions, tool visibility, and execution boundaries remain under your control. It is the layer that lets you adopt AI without turning your operational model into a black box.

Secret handlingmcp_urlhttps://api.... / [REDACTED]

Policy ruletenant = current_workspaceallow: crm_update_deal

Audit eventrun_1488 persistedtool_execution_success

Tenant-scoped access resolution

Access is determined by workspace membership and tenant-aware authorization, not by loose client assumptions.

Role-based permissions

Operators can constrain who can view, trigger, or automate actions across connected systems.

Server-side secret handling

Connection URLs and sensitive credentials remain encrypted and server-side throughout execution.

Connection health tracking

Camelot keeps a live view of connection validity, sync state, and tool availability.

Execution logging architecture

Actions, workflow runs, and policy outcomes are preserved as inspectable operational records.

Audit-ready operational model

Governance is part of the product shape, not an afterthought bolted on below the fold.

Put AI on top of your systems without losing control underneath.

Camelot helps operators connect real business tools, give teams safe AI execution, and turn repeated work into governed automation.

Request a walkthrough Talk to the team

Tenant-isolatedServer-side secretsArchitecture walkthrough available

Tenant-isolated by design · Server-side secret handling · Audit-ready execution model

What onboarding looks likeWeek 1: connect systems, validate policies, ship first governed workflow.

Who this is forRevenue ops, support ops, internal ops, and multi-tenant platform teams.

Book a demo