Consulting engagement
AI Agent Evaluation & Assurance
Technical review of AI assistants, agentic workflows, and model-connected products: what they can do, where they fail, and what evidence is needed before wider rollout.
Deliverables
What you receive
- Capability and autonomy boundary map for each AI workflow
- Evaluation plan covering tool use, factuality, refusal behaviour, data leakage, prompt injection, and escalation paths
- Task-level test set design using realistic but non-sensitive scenarios
- Failure-mode register with severity, likelihood, and monitoring recommendations
- Human approval gate and incident-response recommendations
- Customer- or board-ready assurance summary without exposing sensitive implementation details
Engagement
Three scopes to choose from.
Deep Technical Review
Multi-agent system, tool access, memory, retrieval, or production deployment
Timeline · 4-6 weeks
EnquireIdeal client
Who this is for
Product teams shipping AI assistants, workflow agents, internal copilots, or customer-facing AI features where trust, safety, and measurable reliability matter.
Confidentiality boundary
Public-safe output, private technical work.
Reports can include public-safe summaries for customers, investors, or procurement teams. The underlying evidence stays private: prompts, test sets, system diagrams, weaknesses, data samples, vendor details, and remediation plans are not published or reused.
FAQ
Frequently asked
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Learn moreReady to get started?
Tell us about your organisation and we will scope the right engagement for you.