Responsible AI
Portfolio companies are adopting AI at record speed, and few GPs have a consistent view of where their portfolio companies stand in terms of establishing governance to manage risks that arise.
With companies applying AI in diverse ways and with varying levels of oversight, assessing maturity on responsible AI can be complex, and a single standard across cannot be applied across an entire portfolio. Governance structures depend on the use cases, the size of the business, and many other factors.
It is therefore becoming essential to assess AI governance across the portfolio, highlighting the areas where it poses the greatest risk and developing action plans to ensure the right processes are in place. Maturity on AI governance is also emerging as a priority as exit, as potential buyers run due diligence on AI governance diligence and factor their findings into the bidding process.
What Re:Co offers
AI Compass
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Conduct a quick assessment across the portfolio to deliver an AI governance maturity score benchmarked against peers, with prioritised next steps - applied to a single company or across the portfolio, as a snapshot or as ongoing monitoring.
Responsible AI Policy Guidance
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Support in building and maintaining a responsible Al policy, aligned with recognised frameworks such as ISO 42001, the NIST AI Risk Management Framework, and the OECD Al Principles.
Responsible AI Training
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Deliver trainings tailored by audience, covering Board and leadership oversight of AI, data rights and confidential data, monitoring AI performance across the business, wider societal and regulatory risks, and other topics, delivered live or recorded, both at the firm level and across the portfolio.
Governance Design & Implementation
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Work in close collaboration with Boards, deal teams, and other stakeholders to develop a view of responsibilities, owners, and processes and subsequently put the structure in place.
Outcomes
A clear view of AI management processes across the portfolio as well as which companies carry the greatest risk.
Governance structures tailored to the company’s unique context.
Policies that endure even as AI use grows, aligned with key frameworks.
Boards and leadership teams that are empowered to ask the right questions about how AI is being used in their businesses.
Benchmarking and progress tracking over time to set companies up for exit.