Empowering businesses to design, test, and monitor AI systems responsibly and confidently

AI Risk Modeling

AI Risk Modeling

As organizations embed AI into critical business processes, confidence in how AI systems perform, evolve, and are governed becomes essential. Stakeholders increasingly expect transparency, reliability, and evidence that AI is being used responsibly.

Risk Modeling Services leads AI model evaluation, one of PwC’s Responsible AI offerings, which helps organizations independently assess AI systems for alignment with quality, stated business objectives, industry leading practices, regulatory requirements, and compliance standards.

Beyond model evaluation, our AI Risk Modeling team helps insurance, financial markets, and real estate organizations meet these expectations using proven frameworks, methods, and tools to design, test, and continuously monitor AI models and systems so you can deploy AI with confidence across your operations while safeguarding the trust of your customers, regulators, and the market.

Our services include:

We help teams pinpoint high-impact AI use cases and set them up for success, with the governance needed to scale responsibly. We help align AI investments across business, technology, and risk—so you can balance what’s possible with what’s responsible and what delivers real value. The result is a clear, practical roadmap you can act on.

At the same time, we work with you to put the right governance in place, policies, frameworks, and playbooks that help you use AI responsibly, stay ahead of regulatory expectations, and make consistent decisions across the business.

 

We design, build, and deploy interpretable, explainable, and regulatory-ready AI systems, models, and agents that help deliver measurable business impact. We support the full AI lifecycle—from use case development through production—while helping your teams build lasting capabilities through hands-on workshops, training, and reusable playbooks.

We provide independent testing, assessment, and monitoring of AI systems to reinforce performance, reliability, and regulatory alignment.

AI doesn’t scale without the right foundation. We help modernize your technology and data environment so AI can move from isolated use cases to enterprise impact, supported by architectures that keep data secure, accessible, and purpose built.

Contact us

Carver Roya

Principal, Risk Modeling Services, PwC US

Sean Sexton

Managing Director, Risk Modeling Services, PwC US

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