AI Governance Consulting

Your business is running on AI. Nobody's governing it.

AI tools are making decisions in your business right now. Most organizations can't name who's accountable when something goes wrong. Govagentic builds the governance infrastructure that closes that gap — before a regulator, client, or incident forces the question.

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The problem

Your team is already using AI. Your policies haven't caught up.

The average mid-market company now has AI tools embedded across sales, operations, legal, and finance — most of them adopted bottom-up, without a policy, without an audit trail, and without a clear owner. That's not a technology problem. It's a governance problem. And when something goes wrong — a bad decision made by an agent, a compliance gap surfaced in an audit, a vendor whose AI practices you never vetted — the question will be: who was responsible for this?

Governance in action — not just on paper.

This working prototype runs on TrustLayer — our continuous-monitoring architecture for evidence collection, attestation, and audit-ready compliance. Every tool call is logged. Every decision is traceable. Every action runs through a policy engine before execution. The same architecture we build into client engagements, applied here to vendor risk assessment.

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What the demo shows

AI agent operating within defined policy boundaries — not freeform
Every tool call logged in real time to an audit evidence trail
Decision trace exported as structured JSON — audit-ready by design
Policy engine blocks out-of-scope requests before the agent acts
Risk card populated automatically — no manual interpretation required

Mock data · No real vendor information used

Sound familiar?

⚖️

Legal is nervous but doesn't know where to start

There's no AI use policy. No one has mapped which tools handle sensitive data. The word "liability" keeps coming up in meetings but nothing is getting written down.

🔄

Ops has deployed agents with no oversight layer

Workflows are running autonomously. Nobody has defined what these agents can and can't do, or what happens when they make a mistake that affects a client or a contract.

📋

An audit or client RFP is asking about your AI governance

You're being asked to demonstrate responsible AI use. You don't have a framework, a policy document, or a named owner. You need something real — and fast.

What we do

Assessment · Independent posture review

AI Governance Audit

An independent assessment of how your organization actually governs AI today — across people, vendors, tools, and agentic workflows. Anchored to a named framework (NIST AI RMF, ISO/IEC 42001, EU AI Act, or sector overlay), delivered as a board-grade posture report with a prioritized roadmap.

  • Complete inventory of AI tools, vendors, and agentic workflows in scope
  • Risk-rated findings against applicable regulatory and framework obligations
  • Detailed Audit Report suitable for sponsor, board, and regulator audiences
  • Prioritized remediation roadmap with named owners and target dates

Design & Implementation · Operating model

AI Governance Framework

Design and implement your organization's AI governance operating model — a Board-approvable charter, the policy suite, committee structures, decision rights, and the supporting standards that turn policy into practice.

  • AI Governance Charter, policy suite, and committee charters tailored to your operating model
  • Documented decision rights, RACI, escalation paths, and reporting cadence
  • Vendor AI risk standard, agentic workflow approval, AI incident response procedure
  • Implementation roadmap with 90 / 180 / 365 day phasing

Program · Third-party risk

Third-Party AI Risk Program

Your vendors are using AI too — and their risk is your risk. We build the program your TPRM function needs for AI vendors: risk-tiered intake, due-diligence questionnaire, contract clause integration, and continuous monitoring that runs on TrustLayer.

  • Tiered AI vendor inventory with risk-tiering methodology
  • DDQ aligned to the AI Vendor Control Framework, with scoring rubric and decision pathways
  • AI-specific contract clauses integrated with your existing TPRM workflow
  • Continuous monitoring and renewal review — running on TrustLayer, our governance and assurance architecture

Retainer · Embedded governance leadership

Fractional AI Governance Officer

Senior AI governance leadership on a retained, part-time basis. We chair or advise your AI Risk Committee, deliver monthly and quarterly reporting, monitor regulatory developments in your jurisdictions, and stand up incident review when needed.

  • Monthly Governance Report and Quarterly Governance Review for executive and Board audiences
  • Standing chair or advisor role on your AI Risk Committee, with documented decisions and minutes
  • Regulatory monitoring across applicable jurisdictions; event-driven briefings
  • Vendor and new-tool review, incident review, and on-call advisory within retained scope

How we work

Every engagement begins with a conversation, not a checkout.

We don't publish prices. Scope, deliverables, and fees are determined in scoping — anchored to the work the engagement actually requires, not to a website tier.

  1. 01

    Discovery Discussion

    A 30-minute call. Where you are, what you're navigating, and whether we're the right fit. No prep required, no obligation.

  2. 02

    Scoping & Objectives

    A working session to define outcomes, stakeholders, evidence access, and the deliverable that will land with your sponsor, your board, or your regulator.

  3. 03

    Statement of Work

    Written scope, timeline, roles, and dependencies. Signed by both parties. No surprises mid-engagement.

  4. 04

    Fixed-Fee Proposal

    A single fee for the engagement, tied to the Statement of Work. Retained engagements priced per month with defined initial term.

  5. 05

    Engagement Delivery

    Delivered by the principal. Working sessions with your team where they add value. Board-ready output at the end — not a slide deck nobody reads.

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Why this matters right now

01

Regulation is arriving — and it won't wait for you to be ready

Canada's Artificial Intelligence and Data Act (AIDA) and the EU AI Act are reshaping what accountable AI use looks like for any company operating at scale. Organizations that build governance frameworks now will adapt easily. Those that wait will scramble.

02

Agentic AI is a different risk category than AI tools

A ChatGPT subscription is a productivity tool. An AI agent that autonomously emails clients, processes invoices, or makes scheduling decisions is an operational actor. The governance requirements are fundamentally different — and most companies haven't made that distinction yet.

03

Your clients and auditors are starting to ask

Enterprise procurement teams, insurers, and auditors are adding AI governance questions to their vendor assessments. If you can't answer them clearly, you're a risk — and contracts go to the company that can.

04

First movers build the standard — everyone else follows it

The companies that establish internal AI governance frameworks today become the benchmark their industry peers are measured against. That's a competitive advantage that compounds over time.

"Most AI governance advice is either too theoretical to act on, or too generic to apply. We build frameworks that actually get used."

Govagentic is a specialist AI governance consultancy built for mid-market organizations that are serious about responsible AI — not as a PR exercise, but as a genuine operational and legal foundation.

We combine deep expertise in risk management, compliance frameworks, and agentic AI systems to help legal, ops, and risk leaders get ahead of a problem that isn't going away. Our engagements are practical, fast-moving, and delivered by a senior advisor — not a junior team working from a template.

Our engagements are anchored to TrustLayer, our own architecture for evidence collection, attestation, and continuous compliance monitoring. The same architecture you can see running in the prototype above.

We're based in Canada and work with organizations across North America navigating the intersection of AI adoption and governance accountability.

Approach

Practical frameworks over theoretical advice

Geography

Canada-based · North America focus

Engagement model

Senior advisor — you work with the principal, not a team

Specialization

Agentic AI governance · Third-party AI risk · Compliance readiness

Architecture

TrustLayer — our governance and assurance layer for evidence, attestation, and continuous monitoring

Methodology

Framework-anchored — NIST AI RMF, ISO/IEC 42001, EU AI Act, OSFI E-23, PIPEDA

Latest thinking

All insights →

Get started

Most organizations don't know their AI exposure until something goes wrong.

A 30-minute call is enough to find out where yours is — and whether we're the right fit to help you close it.

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Or email us at [email protected]