Our method
Five steps to design, govern and operate AI agents that integrate into your business and solve measurable problems.
Goals
The method starts by drawing the agent's perimeter: authorised data, allowed actions, approval thresholds and stop points. You get a predictable digital colleague, not a vague tool.
By breaking work into workflows, events and decisions, we identify exactly where an agent adds the most value. The rest stays human.
We capture each domain's language, rules and constraints in reusable agent contracts. Knowledge no longer walks out the door with people.
Every action, every decision and every output is logged, tested and tied to an owner. Auditors and regulators find the answers they need.
Discover the domain
Before any code, we map workflows, decisions, language, systems, risks, people and constraints. An AI agent is only useful if it understands the domain it operates in.
Start with the workshop →Define the boundary
Every agent gets a clear scope: what it owns, what it can read, what it can do, what it must never do and when it must stop. This avoids the biggest corporate AI mistake.
Design the workflow
Research agents, writing agents, review agents, risk agents and human approval points. They exchange structured context, events and decisions — not vague prompts.
Build a safe architecture
Tool permissions, memory rules, approval thresholds, escalation logic, logging, testing and failure handling. Agents do exactly what they are designed to do within a controlled boundary.
Operate with discipline
Continuous integration and deployment, monitoring, observability, rollback paths, secure access and production readiness. Agents are operated like real digital products with measurable outcomes.
Start the pilot →Deliverables
Bounded contexts and shared ubiquitous language across teams.
Permissions, invariants and approval thresholds documented.
Design with clearly identified human hand-off points.
Logging, tests and rollback paths built in.
Monitoring, observability and governance cadence.
Governance documentation aligned with NIST AI RMF and OWASP.
Book a discovery call. We'll map your domain, identify the highest-value agent opportunity and recommend the right starting point.
Book a discovery call