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AI Governance Consulting and Responsible AI
Aiven Consulting Group helps leadership teams set the rules, reviews and oversight that let AI scale safely. We build AI governance that people actually follow, from the acceptable use policy to the controls on autonomous AI agents.
What AI governance consulting covers
AI governance is the set of decisions, policies and controls that settle which AI your organization uses, for what work, with what data, and who answers for the results. Most organizations already have AI in use well before they have any of this in writing. Employees try new tools on their own, vendors switch on AI features inside software you already pay for, and teams start building AI agents that act inside business systems.
Our AI governance consulting turns good intentions into working practice. We find the AI already in use, decide how much review each use needs, write the policy, set up the approval and monitoring steps, and give leadership a simple way to see what is happening. The goal is not to slow AI down. It is to make it safe to say yes to more of it.
Governance works best when it is planned alongside the rest of the AI program, so this service connects directly to AI strategy consulting and AI operating model consulting. For background reading, see our AI governance insights.
Who this service is for
AI is in use, but there is no policy
Teams are using AI tools today, and leadership cannot say which ones, with what data or under what rules.
AI agents are moving into production
Agents that read, write and take actions in business systems need clear limits, approvals and a way to stop them.
Audits, customers or regulators are asking
You need to show how AI decisions are made and reviewed, not just state that you use AI responsibly.
The board wants oversight
Directors want a regular, honest view of AI risk and value that fits on one page.
What an AI governance engagement delivers
Each engagement is shaped to where you start, but most include these deliverables.
AI inventory and risk register
A list of the AI tools, features and agents in use, who owns each one, what data it touches and how risky it is.
AI governance framework and policy
Principles, roles and an acceptable use policy written in plain language, with clear do and do not examples.
Risk tiers and review steps
A simple way to sort AI uses by risk, so low-risk tools move fast and high-risk uses get the review they need.
AI agent governance
Autonomy levels, human approval points, logging, access limits and a tested way to pause or stop an agent.
Regulatory readiness map
How your practices line up with the NIST AI Risk Management Framework, ISO/IEC 42001, the EU AI Act and US state AI laws that apply to you.
Training and operating rhythm
Short training for the people who use and approve AI, plus a review cadence that keeps the program current.
A sample AI governance engagement
A typical AI governance program runs 6 to 10 weeks, with policy development, training and implementation support. Here is how the time is usually spent.
Weeks 1 to 2: Discover
Interviews with leaders and teams, a scan of the AI already in use, and a review of existing policies, contracts and controls.
Weeks 3 to 5: Design
Risk tiers, roles, the AI governance framework and the first draft of the acceptable use policy, reviewed with your leadership team.
Weeks 6 to 8: Implement
Intake and approval steps, AI agent controls, vendor review questions and the reporting view for leadership and the board.
Weeks 9 to 10: Embed
Training for users and approvers, a first governance review meeting and a plan for what to revisit each quarter.
Frameworks and regulations we align to
We do not ask you to adopt a framework for its own sake. We use the established ones as a checklist so your program holds up when someone asks hard questions. That usually means the NIST AI Risk Management Framework for structure, ISO/IEC 42001 if you may seek certification, and the EU AI Act if you sell into Europe or serve European customers.
State AI laws in the United States are changing quickly, as our analysis of Colorado's AI law shows, and many US companies are more exposed to the EU AI Act's high-risk rules than they think. A good governance program is built to absorb those changes without starting over.
Governing AI agents, not just AI tools
AI agents raise the stakes because they act, not just answer. An agent that can update records, send messages or move work between systems needs the same care you would give a new employee with system access. We help you decide how much independence each agent gets, using an approach like the agent autonomy ladder, and match the oversight to the risk with tiered AI agent governance.
Every agent we help govern has an owner, a defined scope, logging that someone actually reviews and a tested way to stop it. If you are wondering whether you could pause an agent quickly when it misbehaves, read what an AI agent kill switch is. Unapproved tools and agents are a governance problem of their own, covered in our explainer on what shadow AI is.
How to get started
Every engagement with Aiven Consulting Group starts with a free 30-minute intro call on Zoom. We talk through your goals, where AI is used today and what is getting in the way. If there is a fit, a paid engagement begins with a strategy session that maps what your organization actually needs and produces an AI blueprint for the work ahead. Request your intro call.
Tools and examples for AI governance
Related services and reading
AI governance consulting questions
What does an AI governance consultant do?
An AI governance consultant helps an organization decide how AI is approved, used and monitored. That includes an inventory of AI in use, a governance framework and acceptable use policy, risk tiers and review steps, controls for AI agents and a reporting rhythm for leadership.
How long does an AI governance program take?
A typical AI governance program with Aiven Consulting Group runs 6 to 10 weeks, covering discovery, design, implementation and training. Smaller scopes, such as an acceptable use policy alone, take less time.
Do we need AI governance if we only use off-the-shelf AI tools?
Yes. Off-the-shelf tools still handle your data and shape decisions. Governance sets which tools are approved, what data may go into them and who reviews the results.
Which AI governance frameworks do you use?
We align programs to the NIST AI Risk Management Framework, ISO/IEC 42001 and, where it applies, the EU AI Act and US state AI laws. The framework serves your program, not the other way around.
How does an engagement with Aiven Consulting Group begin?
With a free 30-minute intro call on Zoom. If there is a fit, a paid engagement includes a strategy session that maps what your organization needs and produces an AI blueprint.
Where is Aiven Consulting Group based?
Aiven Consulting Group is an AI consulting firm based in Indianapolis that works with businesses across the United States. Intro calls take place on Zoom, so location is never a barrier.
Ready to put AI governance in place?
Request your intro call