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ABOUT VERIOVANT
Governance designed for AI in the real world
Veriovant helps organisations establish practical, proportionate AI governance and assurance — giving leaders clearer visibility over how AI is being used, where material risks sit and whether appropriate controls are in place.
WHY WE EXIST
AI governance should create clarity — not simply more paperwork.
As AI becomes embedded across organisations, governance needs to help leaders understand what is being used, what matters, who is accountable and whether material risks are being managed. Veriovant was created to make that oversight practical, proportionate and easier to evidence.
VISIBILITY
Know where AI is being used, for what purpose and where material exposure may exist.
ACCOUNTABILITY
Create clearer ownership, decision-making and escalation around AI use.
ASSURANCE
Establish evidence that risks, controls and governance actions are understood and being managed.
OUR POINT OF VIEW
Governance should enable responsible AI, not become another layer of bureaucracy.
Our approach is designed to work with existing governance, risk, compliance and operational structures wherever possible.
01
Understand the organisation
Start with how the organisation operates, where AI is being used and what already exists.
02
Focus on material risk
Prioritise the AI use cases, decisions and exposures that genuinely require attention.
03
Build into existing governance
Strengthen oversight and controls without creating unnecessary parallel processes.
04
Create evidence that stands up to scrutiny
Help management demonstrate what is known, who is accountable, what controls exist and what actions remain.
WHAT GUIDES OUR WORK
Principles that shape how we work
PROPORTIONATE
Governance should reflect the organisation, the use case and the level of risk.
PRACTICAL
Controls should be usable in day-to-day operations, not simply exist on paper.
INDEPENDENT
Our role is to provide clear, evidence-led challenge and assurance.
RISK-BASED
Attention should be focused where AI creates meaningful exposure or decision impact.
EVIDENCE-LED
Good governance should be visible through decisions, controls, records and management information.
BUSINESS-AWARE
AI governance should support responsible adoption rather than obstruct legitimate innovation.
GOVERNANCE CONTEXT
Grounded in recognised AI governance and risk approaches
Our work is informed by recognised regulatory, governance, risk and management approaches. We use them as reference points rather than treating governance as a checklist, interpreting them in the context of the organisation and its AI use.
EU AI Act
Considered where relevant to the organisation, use case and regulatory context.
ISO/IEC 42001
Used as a reference point for AI management-system governance and organisational controls.
NIST AI Risk Management Framework
Used to inform practical risk identification, assessment and governance considerations.
UK GDPR & data protection governance
Considered where AI use involves personal data, accountability or related governance obligations.
Existing enterprise risk, compliance, assurance and operational governance arrangements are integrated wherever appropriate.
Specific legal or regulatory interpretation may require appropriate specialist legal advice.
VERIOVANT
Leadership
LEADERSHIP
Experienced perspective. Practical focus.
Lola Ibiyeye
Founder, Veriovant
Lola founded Veriovant to help organisations translate emerging AI governance expectations into practical oversight, controls and management evidence. Her background spans policy, regulation, technology, stakeholder engagement and international business across public-sector and commercial environments. She brings an operating perspective to governance — focusing on what leaders need to know, what teams can realistically implement and what organisations should be able to evidence.
“Good AI governance should help leaders know what matters, make clearer decisions and evidence the oversight they have in place.”
WHY VERIOVANT
Practical assurance without unnecessary complexity
Independent — We are not trying to sell you an AI governance platform.
Proportionate — Governance should reflect material risk rather than treat every AI use the same.
Built around your organisation — We work with existing risk, compliance and operating structures wherever possible.
Evidence-led — The objective is clearer decisions, controls and management evidence — not paperwork for its own sake.
Build AI governance you can explain and evidence
If you need clearer visibility, stronger controls or ongoing assurance around organisational AI use, we can help you work through the next step.