We help you define your Responsible AI strategy and roll it out in practice: a board-level plan for how AI will be developed, deployed and governed, aligned to your regulatory obligations, ethical commitments and commercial objectives.
- Responsible AI maturity assessment
- AI use-case & risk landscape mapping
- Strategy document, roadmap & roll-out support
We build a bespoke Responsible AI governance framework for your organisation: embedding the controls, oversight and accountability that support your regulatory requirements and standards alignment as you develop and deploy AI, strengthening your ability to win business and maintain reputational trust.
- Gap analysis & AI inventory
- Control mapping to applicable regulation
- Bespoke policy suite & control model
Embedded advisory support that integrates responsible AI principles, risk controls and regulatory requirements directly into system design and delivery, including structured AI risk, impact and ethical assessments across the system's lifecycle.
- AI Impact & ethical assessments
- Design & architecture review
- Risk & control integration during build
- Pre-deployment readiness validation
Independent assurance and audit-readiness reviews that validate the effectiveness, defensibility and regulatory alignment of your AI governance and controls, and of the AI solutions themselves, including vendor and third-party reviews carried out on your behalf.
- Governance & control review
- Solution-level testing & validation
- Vendor & third-party AI reviews
- Executive assurance report & remediation plan
Drafting, reviewing and negotiating your AI and SaaS contracts on your behalf: data processing terms, liability, IP and responsible AI obligations, so your commercial agreements hold to the same standard as your governance programme.
- Contract drafting & review
- Vendor & customer negotiation support
- Data processing & liability terms
Capability building to embed responsible AI understanding, accountability and decision-making across your organisation's functions.
- Role-based training pathways
- Leadership & board-level briefings
- Handover & self-management runbooks
We prepare your AI position for scrutiny from investors, acquirers and their advisers, documenting what AI you use, how it is governed and where the risks sit, so diligence questions are answered quickly and with evidence. We also support investors and private equity teams assessing the AI risk inside a target or portfolio company.
- AI inventory, data-provenance & third-party dependency review
- Diligence-ready governance & evidence pack
- Pre-process risk findings & remediation plan
- Buy-side AI due diligence & portfolio governance baselines