AI & Automation · AI Consulting
AI Governance and Responsible AI Consulting
AI governance and responsible AI consulting gives you a framework and a defensible path to using AI responsibly and within the rules. We help you inventory and classify your AI by risk, set acceptable-use and human-oversight policies, document your systems, and get ready for regulations like the EU AI Act, mapped to recognized frameworks. We cover governance and readiness; formal legal sign-off stays with your counsel.
We align toNIST AI RMFISO/IEC 42001EU AI ActOECD AI PrinciplesGDPRISO 27001
TRUSTED BY TEAMS THAT SHIP
Click any platform to read verified customer reviews.
What it is
What is AI governance?
AI governance is the set of policies, controls, and oversight that keep an organization's use of AI safe, accountable, and compliant. In practice it means knowing every AI system you use, classifying each by risk, setting rules for acceptable use and human oversight, documenting how systems work and what data they use, and assigning clear ownership. Responsible AI consulting builds that framework and gets you ready for the regulations that apply to you.
It matters because AI now carries real legal, reputational, and operational risk, and rules such as the EU AI Act are in force and phasing in obligations over the coming years, with significant penalties for non-compliance. Governance turns that exposure into something you can manage and defend, rather than discovering a problem after it ships. One honest limit: we design your framework, classification, policies, and readiness and map them to recognized standards, but formal legal conformity assessment and any notified-body sign-off involve your legal counsel, not us.
What's included
What an AI governance engagement includes
AI inventoryWe catalog every AI system and tool in use across your business, including shadow AI nobody approved.
Risk classificationWe classify each system by risk so oversight and controls match how much could go wrong.
Policy and acceptable useWe write the acceptable-use, data, and shadow-AI policies that tell your teams what is and is not allowed.
Human oversight protocolsWe define where humans must review or approve AI decisions and how that oversight is recorded.
Documentation and recordsWe set up the technical documentation and records that demonstrate how your AI systems work.
Regulatory readinessWe map your AI to applicable regulations like the EU AI Act and the controls each one expects.
Operating model and ownershipWe define who owns AI governance, the review cadence, and how new systems are approved.
How we work
How we build your AI governance
1AI inventory and discovery
We find every AI system in use, including tools adopted without formal approval.
2Risk classification
We assess and tier each system by risk, impact, and regulatory exposure.
3Framework and policy design
We design the governance framework and write the policies for acceptable use and oversight.
4Oversight and documentation
We define human-oversight checkpoints and the documentation each system needs.
5Regulatory mapping
We map your AI to applicable rules and standards and identify the gaps to close.
6Rollout and ownership
We hand over the framework, assign ownership, and set the cadence to keep it current.
Why it matters
Why AI governance matters
Done right, governance turns AI from an unmanaged liability into something you can run, defend, and scale with confidence.
Defensible compliance
A documented framework and risk classification you can show to regulators, customers, and your board.
Lower exposure
Clear policies, oversight, and an AI inventory shrink the legal, security, and reputational risk of AI.
Faster, safer adoption
With approval paths and guardrails in place, teams can adopt new AI without governance becoming a blocker.
Who this is best for
The right fit
Best fit when
You are scaling AI use, face regulatory exposure such as the EU AI Act, or have AI tools spreading across teams with no policy or oversight. You want a defensible framework before risk catches up with you.
You might not need this
If you need formal legal conformity assessment, certification, or notified-body sign-off, that is specialist legal work and belongs with your counsel; we prepare you for it but do not provide it. If your immediate need is a single honest snapshot of where you stand, start with a Readiness Assessment.
FAQs
Common questions about AI governance
What does the EU AI Act require of my business?
The EU AI Act applies obligations based on how risky your AI use is, with stricter requirements for higher-risk systems and transparency duties for many others, and it carries significant penalties for non-compliance. The exact obligations and deadlines depend on your role and the systems you run, and the phased timeline continues to evolve, so the current specifics should always be confirmed with up-to-date legal sources. We help you determine which obligations apply, prepare the inventory, classification, and documentation they expect, and build a readiness plan, while formal legal interpretation stays with your counsel.
What is AI governance, and does my business need it?
AI governance is how you keep your use of AI safe, accountable, and compliant: an inventory of your AI, a risk classification, policies for acceptable use and oversight, and clear ownership. You need it once AI touches customers, regulated decisions, or sensitive data, or once tools start spreading across teams without control. A small, low-risk pilot can wait, but most growing organizations reach the point where ungoverned AI is a real liability.
How do we prepare for the EU AI Act?
Preparation starts with knowing what you have: an inventory of your AI systems, a classification of each by risk, and a gap analysis against the obligations that apply to your role. From there we help you put policies, human-oversight protocols, and technical documentation in place and map them to recognized standards. This gets you ready and defensible; final legal sign-off and any conformity assessment involve your legal advisors.
How is governance different from a readiness assessment?
A readiness assessment is a broad diagnostic of whether you are ready to adopt AI across data, infrastructure, people, and governance. Governance is the focused build of the risk-and-compliance layer: the framework, inventory, risk classification, policies, and regulatory readiness. The assessment may tell you governance is a gap; this engagement closes it. Many clients assess first, then govern.
What standards and frameworks do you use?
We map your governance to widely recognized references such as the NIST AI Risk Management Framework and ISO/IEC 42001, and align readiness work to the regulations that apply to you, including the EU AI Act and data-protection rules like GDPR. Mapping to these frameworks makes your governance credible and easier to defend. To be clear, aligning to a standard is not the same as being formally certified against it, and we tell you which is which.
What do we get at the end of a governance engagement?
A documented governance framework, an AI inventory with each system classified by risk, written acceptable-use and oversight policies, human-oversight protocols, and a regulatory readiness plan with the gaps identified. You also get an operating model that names owners and sets a review cadence, so governance stays current as you add new AI. Everything is written to be shown to regulators, customers, and your board.
10
What working with our AI team is like
Get your AI under control
Get a free AI audit. We will show you the AI in use across your business, where your governance gaps are, and the path to a defensible, regulation-ready framework.
Get your free AI audit