Tracey Enterprise

The governed AI workspace for company operations.

Manage who can use which agents, what those agents can access, which tools they can call, what policies apply, and where the work is saved — all in one private workspace.

Use trusted AI engines underneath. Keep the company layer governed and in one place.

User access Agent governance Tool permissions Security layers Compliance workflows Durable records

Tracey Enterprise is a governed AI operations layer — not a generic SaaS tool.

The problem

Companies do not need 50 disconnected AI tools.

AI usage spreads fast, and so does the fragmentation. The cost is rarely the model — it's the lack of a layer around it.

01

Scattered assistants

Different teams adopt different assistants, with no shared structure or oversight.

02

Copied files and prompts

Sensitive files get copied around and prompts run ungoverned across tools.

03

Outputs lost in history

Useful work disappears into chat logs, and sensitive tools run without approvals.

04

No clarity on who did what

There's little record of who used which capability, on what, or why.

The model

Admins manage the AI operating layer.

Instead of every employee assembling their own AI setup, admins define the workspace once: who the users are, which agents exist, what files and workspaces they touch, which tools and integrations are available, and what gets reviewed or approved.

One governed layer, defined by admins.

  • Users
  • Agents
  • Files & workspaces
  • Plugins / MCP / APIs
  • Review & approval
  • Compliance rules

Agents

Each agent can have a role, scope, and toolset.

Agents are shaped around the work a team actually does — not one generic assistant trying to cover everything. Each one carries the properties that make it governable.

role-specific name instructions allowed workspace roots reference files policy context plugin access MCP server access action shortcuts file / artifact boundaries audit-relevant outputs
role · agent map
Finance Finance agent
Legal Legal review agent
Sales Sales research agent
Engineering Engineering support agent
Executives Executive reporting agent
Support Customer support agent
Operations Operations agent

Illustrative mapping. Admins define the roles, agents, and access that fit the company.

Security

Security is built around identity, scope, tools, and execution.

Rather than one perimeter, Tracey Enterprise layers controls from who a user is all the way through to what is recorded.

01

Identity

Every request is tied to an authenticated user.

02

User scope

Each user reaches only the agents and areas they're granted.

03

Workspace isolation

Work stays inside the workspace boundaries it belongs to.

04

Agent scope

Agents operate within a defined role and remit.

05

Tool access

Which tools an agent may call is explicitly controlled.

06

File boundaries

File and artifact access is scoped to what's permitted.

07

Guardrails

A lightweight policy check can run in front of execution.

08

Human approval

Sensitive actions can require a person to sign off.

09

Records

Outputs and actions are kept as durable, reviewable records.

Before a prompt reaches a powerful agent or a sensitive tool, the request can be checked — a policy checkpoint in front of execution.

Identity to execution

Compliance

Tracey can support compliance without slowing down work.

The controls that make AI auditable are built into the way work already flows — not bolted on as a separate process.

In practice

Controls that travel with the work.

Controlled user access and scoped agents keep usage inside its remit. Approval checkpoints and sensitive-tool restrictions sit in front of risky actions. Durable artifacts, saved plans, and job history make the work reviewable after the fact.

Policy-aware, auditable, and company-owned.

  • Controlled user access
  • Scoped agents
  • Approval checkpoints
  • Sensitive-tool restrictions
  • Durable artifacts
  • Saved plans
  • Job history
  • Policy-aware prompts
  • Auditable workflows
  • Private deployment
  • Company-owned context & outputs

Capabilities

Bring the tools into the governed workspace.

Connect the capabilities a company already relies on — and manage how they're used from one place.

External & business

AI tools and apps

External AI services and business apps connect into the workspace, so they're reached through governed agents rather than scattered logins.

Plugins & MCP

Plugins and MCP servers

Plugins and MCP servers extend what agents can do, while admins decide which agents may use them.

Local & internal

Scripts, APIs, internal systems

Local scripts, APIs, and internal systems become callable capabilities — under the same access and policy controls.

One place to manage how capabilities are used.

company memory
Plans & reportsSaved
Generated files & artifactsKept
Conversation historySearchable
Job resultsRecorded
Reusable workflowsVersioned
Agent instructions & knowledgeOwned

Durable work

AI output should become company memory.

The point of governed AI work isn't a stream of answers — it's a growing body of company knowledge. Tracey is designed to preserve plans, reports, files, artifacts, history, job results, workflows, agent instructions, and operating knowledge.

Tracey Enterprise

Move from AI usage to AI operations.

Tracey Enterprise gives companies the layer they need around AI: users, agents, tools, files, security, compliance, workflows, and durable outputs.

Back to overview