Run AI operating systems across the firm, under one set of controls.

For larger firms running one or several operating systems. One governance layer, budgets and policies per team, a control center to see and stop every specialist, and client data kept apart.

Many teams, many operating systems, one place to run them.

Give each practice its own operating system and keep oversight, spend and data boundaries in one place.

  • Budgets and policies per team

    Each team runs with its own budgets and policies. Specialists are versioned, tested and approved before release, and every run stays within its budget.

  • Control center

    See every AI specialist from one place: live versions, recent runs, approvals, usage and limits. Pause new runs or stop a run in progress when a person needs to step in.

    The control center
  • Data isolation and residency

    Every client and matter has its own context, and documents are treated as content, never as instructions. EU data residency and a DPA are available on request.

    Data isolation
  • Fully hosted, delivered where work happens

    We host every operating system. Your people and clients use it in the portal, in Slack, through the API or as MCP tools for AI assistants.

    For developers

Every OS, every team, the same governance layer.

Built for firms that answer to clients and regulators. Every operating system inherits the same controls, and you can show exactly how the work was done.

Human approval before anything reaches a client

Nothing reaches a client until a named person approves the exact version.

Immutable, granular audit logs

Every request, decision, change and result is recorded. Answer any client or regulator with evidence.

Kill switches

Stop any agent or workflow at once.

Execution gateway

Agent actions run through a controlled gateway, with credentials kept server-side.

Versioned agents

Each agent, playbook and model version is pinned. No silent changes to how work gets done.

Client data isolation

Every client and matter has its own context. Documents are treated as content, never as instructions.

EU data residency on requestDPA on requestSecurity at Stackmint

One OS per practice, or one built for you.

Start with AgencyOS or LegalOS. For any other expert service, we build a Custom OS with you from the same building blocks, on the same controls.

The Stackmint platform

  • Agents from your playbooks

    Describe the work in plain language. Stackmint turns it into specialists that follow your method.

  • Governed like software

    Versioned, tested and approved before release, with budgets and policies per team.

  • Delivered where work happens

    Run them in your portal, in Slack, through the API or as MCP tools for your AI assistants.

Start with one team, then roll out.

  1. 01

    Working session

    We map your services and playbooks to an operating system, using your real work.

  2. 02

    Pilot on live work

    Start with one team. Your people review every output while the agents learn your standards.

  3. 03

    Roll out across the firm

    Add teams, clients and your own agents as the results come in.