Quentin CasaresData and AI leadership for regulated growth
Advisory

COOs, CTOs, Heads of AI and platform leads

AI agents and controlled automation

Agents and LLM features moved from demonstration to production with the controls a regulated firm needs.

The agent works in a demo. Nobody can yet say what it may touch, what it costs, when it stops, or who signs it off.

What changes

Three outcomes this practice is built to deliver.

  • 01

    Agents with explicit stop conditions, budgets, scoped tool permissions and human approval gates on irreversible actions

  • 02

    Prompts and system instructions versioned, evaluated against a fixed set and reviewable by risk and audit

  • 03

    An agent register with named owners and kill switches that meets SM&CR accountability expectations

Capabilities

What this practice covers.

  • AI agent development
  • Prompt engineering for regulated teams
  • Loop engineering for AI agents
  • Agentic workforce creation

Next step

Discuss an agent programme