AI Governance & Responsible AI
Clear rules make speed safe. We build the policies, controls, and operating model that let your teams use AI confidently — and let legal, IT, and HR say yes faster.
What is AI governance consulting? It is the work of putting practical rules and controls around how an organization uses artificial intelligence: acceptable-use policies, data-use boundaries, risk classification of use cases, human-review requirements, vendor and tool approval, logging and auditability, output review, change control, incident escalation, and workforce guidance. Good governance is enabling, not bureaucratic — it defines where teams can move fast without asking, and exactly what needs review when stakes are higher.
Who this is for
- Organizations where staff already use AI informally — with no rules
- Regulated or client-confidential businesses (finance, healthcare, legal, insurance)
- Leadership teams asked by the board “what's our AI policy?”
- Companies about to scale a pilot and realizing governance can't be retrofitted
What's included
- Acceptable-use policy — plain-language, workforce-tested
- AI governance operating model: decision rights, review board, escalation
- Risk classification framework for use cases
- Data-use rules: what data may touch which tools, and where output may go
- Human-review requirements by risk tier
- Model and tool approval workflow
- Vendor controls and contract requirements
- Logging, auditability, and output-review standards
- Change control and incident escalation paths
- Compliance mapping with your counsel (LGPD, GDPR, sector rules)
- AI inventory — including the shadow-AI already in use
- Training and workforce readiness sessions
We describe alignment with recognized frameworks where accurate. We do not certify compliance, and formal legal sign-off remains with your counsel — by design, we build the pack with them so approval is fast.
HR-friendly by design
Bring shadow AI into the light
Punitive policies drive usage underground. We inventory what's actually in use and put safe rails around reality.
Rules people can follow
One-page guidance per role beats a 40-page policy nobody reads. Clarity is the control.
Governance that ships with delivery
Every Olyra implementation enforces these controls in the systems themselves — see our responsible AI approach.
Governance FAQ
We already bought AI tools. Is it too late for governance?
It's the most common starting position. We inventory what's in use — including unofficial use — assess exposure, and put rules around reality rather than pretending adoption hasn't started. Retrofitting governance is routine; ignoring it until an incident is the expensive path.
Will governance slow our teams down?
Done right, it speeds them up. Most AI hesitation inside companies is uncertainty — people don't know what's allowed, so they either freeze or freelance. Clear tiers (“green: go; amber: review; red: don't”) remove the hesitation and concentrate scrutiny where risk actually lives.
Can you work with our legal and IT teams?
We prefer it. We bring the operational and AI expertise; your counsel and IT bring the constraints; the output is a policy pack all three sides have already agreed to — which is what makes it durable.
Do you guarantee regulatory compliance?
No one honest can. We map controls to your obligations, document evidence, and prepare the pack for your counsel's approval. What we guarantee is the working session where every control is traceable to a risk, and nothing is security theater.
Find out what AI can actually do for your operations.
Start with an AI Operations Audit — a fixed-scope diagnostic that maps your workflows, scores your AI readiness, and hands you a prioritized 120-day roadmap. If we don't find real opportunities, you'll know that too.
Request an AI Operations Audit → Prefer to talk first? Book a 30-minute scoping call.