AI governance for regulated firms
A clear approval process for AI, aligned with NYDFS expectations.
- 1Inventories AI already in use
- 2Maps it to policy and regulation
- 3Sets review and sign-off steps
New York, NY · AI Strategy & Consulting
An AI roadmap for New York companies that ranks use cases by value and regulatory risk, so the first projects are ones your board and compliance team can back.
AI Strategy & Consulting in New York
New York runs on regulated, document-heavy work: onboarding clients, pricing risk, handling claims and managing leases. It is where AI has the most work to do, and the highest bar for control.
Where it fits
A clear approval process for AI, aligned with NYDFS expectations.
Find where AI eases admin load without touching clinical decisions.
Know what your data, rights and tools allow before you scale.
Built for New York rules
Access controls, MFA and audit trails on every system AI touches.
Reasonable safeguards for the private data AI systems read and write.
Bias audit and candidate notice for tools that score or rank candidates.
Governance, testing and fairness checks for AI in underwriting and pricing.
Safeguards and a business associate agreement for anything touching patient data.
Working together · Eastern Time
Your morning is our evening, so we meet live at the start of your day and build while you sleep.
How we work
We learn your goals, constraints and the processes that matter most.
We run discovery sessions and review your data and systems.
We score use cases on value, feasibility and risk, together with you.
We hand over a roadmap, and can stay on to deliver the first phase.
Yes. Each use case is checked against the rules that apply to you, such as Part 500, the SHIELD Act and NYC Local Law 144, so regulatory work is planned and costed up front rather than found late.
Yes. We present the roadmap live in your morning hours and share the scoring behind every recommendation, so leadership and risk teams can challenge it.
A prioritised list of AI use cases, a readiness assessment covering data, systems, skills and governance, and a phased roadmap with the decisions and investment each phase needs.
No. Part of the work is finding out what state your data is in and what it needs for each use case. Many useful AI projects can start with the data you already have.
Yes. The same team designs and delivers agentic AI, generative AI, data platforms and applications, so the roadmap moves straight into delivery without a hand-off.
Let's talk
We help you navigate Enterprise AI, from first use case to production.
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