Make an LLM platform or agent workflow easier to examine, operate and assess.
For companies building LLM and agentic systems on managed APIs, hybrid infrastructure, a customer VPC, or self-hosted inference that need more than a promising demo: a practical path from requirements to technical controls, tested operation, and evidence another party can follow.
what the work establishes
01 · map
Map models, prompts, data, tool calls, human approvals and external effects, not a generic checklist.
- starts from
- Requirements mapped to controls
- makes verifiable
- Requirements mapped to controls
regulated and high-risk readiness
The core work serves teams operating LLMs or agents whose failures carry business, security or regulatory impact. Where a deployment is regulated or high-risk, the same discipline extends to traceability, human oversight, change records, risk controls and the evidence expected by the organisation’s assessment process.
ready for independent review
The engagement produces an examinable evidence pack and, where scoped, strengthens the platform or workflow’s technical controls. It makes the facts, controls and remaining limits explicit so the assessment can focus on judgement rather than reconstruction.
what the evidence can include
See the technical materials prepared for review
Depending on scope: system and trust-boundary maps, a requirements-to-controls map, control specifications, trace and log samples, test records, change history, operating procedures, known limitations, and a concise assessment brief.