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AI Governance Consulting

Turn AI pilots into governed ways of working

Organizations have Rovo, Copilot, Claude, or Gemini switched on and off. However, fewer have decided where agents fit in delivery, who owns the decisions they touch, and how teams are trained and measured through the change. That is the work we do. Our AI governance consulting turns that decision into clear policies, controls, and measurable adoption.

AI governance consulting that aligns business and technology teams
AI adoption and governance in under a minute

Why this matters now

Agents are already in your tenant

More than 90% of Atlassian enterprise cloud customers use Rovo, and Microsoft’s Copilot Studio ships multi-agent workflows with MCP connectors. Meanwhile, both platforms now provide agent inventories, permissions, and audit logs. Still, someone has to own them.

Regulators expect controls, not documents

In addition, examiners and auditors in banking, healthcare, and government ask how AI use maps to NIST AI RMF, ISO/IEC 42001, HIPAA, and model-risk policies. However, a policy PDF is not a control.

Adoption is a change program

Teams do not adopt AI because it is licensed. They adopt it when roles, decision rights, and training change with it. So we run that program.

What our AI governance consulting delivers

AI readiness assessment and roadmap

Where AI assistants and agents fit in your delivery workflows, what data and permissions they need, including a phased adoption plan with measures.

Agent governance operating model

Agent inventory, ownership, permissions, approval workflows, and audit across Rovo Studio, Copilot Studio, Agent 365, Claude, and Gemini.

Decision-rights and role design

Who approves, who supervises, and who is accountable when an agent acts, documented as RACI and built into the tools.

Guardrails and control mapping

NIST AI RMF and ISO/IEC 42001 aligned controls, mapped to HIPAA, model-risk, and procurement requirements for regulated environments.

Training and enablement

Role-based programs for executives, managers, agents builders, and end users, and then we report adoption metrics monthly.

AI orchestration across platforms

One governance model for Rovo, Copilot, Claude, and Gemini, so the same rules apply whether the agent lives in Jira, Teams, Claude, or Gemini.

Agent governance operating model

One governance model for Rovo, Copilot, Claude, and Gemini

Rovo

Atlassian

  • Rovo Studio agents
  • Guard
  • Jira

Copilot

Microsoft

  • Copilot Studio
  • Agent 365
  • Teams

Claude

Anthropic

  • Claude Enterprise
  • Claude Code
  • MCP connectors

Gemini

Google

  • Gemini Enterprise
  • Vertex AI agents
  • Google Workspace

One governance model

The same rules apply whether the agent lives in Jira, Teams, Claude, or Gemini.

  • Agent inventory

    Ownership, permissions, approval workflows, and audit.

  • Decision rights

    Who approves, who supervises, and who is accountable when an agent acts, documented as RACI.

  • Control mapping

    Aligned controls, mapped to the requirements of regulated environments.

    • NIST AI RMF
    • ISO/IEC 42001
    • HIPAA
    • Model-risk
    • Procurement

Regulators expect controls, not documentsA policy PDF is not a control.

How an engagement runs

01

Discover

Interviews and usage data, including a risk-tiering of current AI use.

02

Design

Operating model, decision rights, controls, and roadmap.

03

Enable

Configure inventories and permissions; train roles; then launch pilots.

04

Measure

Adoption, quality, and control metrics reported to leadership.

Frequently asked questions

What is AI change enablement?

Specifically, the people-and-operating-model side of AI adoption: defining where assistants and agents fit in workflows, who owns the decisions they touch, and how teams are trained and measured through the transition. It is therefore distinct from configuring the tools.

Which frameworks do you align to?

NIST AI Risk Management Framework and ISO/IEC 42001, mapped to the regulations our clients already answer to, including HIPAA, CMS, FFIEC guidance, and state AI laws.

Do you govern Rovo, Copilot, Claude, and Gemini?

Yes. As Atlassian platform specialists and a Microsoft Solution Provider, we therefore build one governance model that covers agents across Rovo, Copilot, Claude, and Gemini.

How long does an AI readiness assessment take?

Three to five weeks, so you finish with a roadmap, a control map, and a pilot plan your leadership can approve.

Ready to talk?

Book a 30-minute discovery call. No sales deck. We start with your situation and tell you plainly whether we can help. Start with a discovery call to scope your AI governance consulting needs.

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