The platform

What does an AI governance platform do?

It lists every AI agent, limits what each may do, asks a person before risky actions, and proves what happened.

  • Mid-market B2B
  • Early access
  • Today and Roadmap labeled

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Why now

AI now acts, not just answers

A wrong answer can be ignored. A wrong action reaches a customer.

Sends email

To your customers

Updates records

In your systems

Commits spend

Against a budget

82%

of surveyed enterprises found AI agents running that they did not know aboutCloud Security Alliance, Apr 2026. 418 respondents; commissioned by a security vendor

40%+

of agentic AI projects may be canceled by the end of 2027Gartner, Jun 2025

How it works

Four steps, one control layer

Know every agent

  • Every agent on one list
  • Each has a named owner
  • Nothing runs unseen
How Know works

The path

Every action takes the same route

The path every AI action takes An agent proposes an action. Policy decides. Low-risk actions run in the connected system. High-risk actions wait for a named person. Prohibited actions are blocked. Every outcome goes on the record. low risk Agentproposes an action Policylimits, risk, budget Connected systemthe action runs Recordwho, what, cost Named approverhigh risk: a person decides Blockedprohibited, still recorded
  1. 1Agent proposes an actionFor example, send a follow-up email.
  2. 2Policy decidesChecks the agent's limits, risk and budget.
  3. 3Run, ask or blockLow risk runs. High risk waits for a named approver. Prohibited is blocked.
  4. 4RecordedWho, what, when, approver and cost go on the record.
Every action passes the same path. Only high-risk actions need a person; every outcome is recorded.
  • Low risk: it runs
  • High risk: a person decides
  • Prohibited: blocked

In the product

One interface for the whole loop

Workflows in MFDIO: multi-step processes with their status, number of steps, success rate and last run.
Workflows in the current MFDIO interface. Sample data.
  • Workflows that include approval steps
  • Approvals in their own queue
  • The record of every run

The difference

Governance, not automation

AutomationMFDIO
GoalAutomation: Make AI do moreMFDIO: Make AI safe to trust with more
ApprovalAutomation: Added later, or neverMFDIO: Built in from day one
ProofAutomation: "Trust us"MFDIO: A record of every action
PeopleAutomation: Left out once it runsMFDIO: Decide what matters

Honest status

What works today

Today Works now

  • AI assistant in the workspace
  • Agents and workflows with approvals
  • Any tool that speaks MCP
  • Audit log, roles, invitations
  • Spend limits in Work Units

Roadmap Planned

  • One-click CRM, email and chat connections
  • Agents built elsewhere in the register
  • Choosing a model per job
  • SOC 2 and ISO 27001

Full list

Quick answers

Is MFDIO an automation tool?

No. Automation makes AI do more. MFDIO makes AI safe to trust with more.

Does it replace our tools?

No. Existing systems are kept. Any tool that speaks MCP can be connected today.

Does the AI act on its own?

Only where policy allows it. Risky actions wait for a named approver first.

Bring your agents under control

We review every request by hand.

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