Areas of Practice

Applied research, advisory, and working systems at the intersection of AI and financial infrastructure. Our work spans three domains: helping banks deploy AI in regulated environments, building agent infrastructure for payment workflows, and developing trust and evaluation frameworks for AI in financial services.

Executive Advisory

AI Strategy for Financial Services Leaders

We work with banks, payment companies, crypto firms, and financial institutions to move AI from experimentation to production. Our advisory engagements are built on two decades of infrastructure experience: building Visa’s real-time payment architecture, serving as CTO at a digital asset bank through one of the most volatile regulatory periods in modern finance.

Our engagements are designed for senior leadership teams across banking, payments, and digital assets. Executives making decisions about where to invest in AI, how to govern its deployment, and how to build competitive advantage without breaking regulatory obligations.

Engagement types

Executive AI Strategy Briefings

Half-day sessions for C-suite and technology leadership. Competitive landscape, regulatory framework, use case prioritization, and 90-day action planning.

Governance Framework Development

AI risk committee charters, model risk management approach, vendor accountability frameworks. Designed for board presentation and regulatory examination.

Implementation Advisory

Ongoing strategic support during the first 90 days of AI deployment. Vendor evaluation, use case scoping, board communication strategy.

Team AI Enablement

Hands-on working sessions for engineering and product teams adopting AI tools and building with GenAI APIs.

Applied Research

Our advisory practice is informed by active research in AI-native financial infrastructure. These are working systems, not whitepapers. Each one generates the operational knowledge that shapes our executive advisory engagements.

Research Focus Areas

Financial Infrastructure

  • AI agents operating inside payment, banking, and settlement workflows
  • Evaluation frameworks for AI in high-stakes financial decisions
  • Bias, stereotyping, and subjective assessments in LLM applications for finance
  • Stablecoin and programmable money infrastructure for banks

AI Systems Architecture

  • Multi-agent coordination for financial workflows
  • Provenance, identity, and know-your-agent frameworks
  • API transformation for AI-ready financial data interactions
  • Context engineering for domain-specific financial AI
Explore our broader AI systems research