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The surfaces where AI actually compounds.

Six focused capabilities, each delivered inside a short engagement that produces one clear artefact. No scope creep, no package tiers, no retainer dressed up as a relationship.

Where AI earns its place.

AI Strategy and Evaluation

A clear, honest answer to “where does AI fit, where does it not, and what do we measure” — before a single contract is signed or a team is reorganised.

Typical engagements
Pre-commitment AI review · strategy memos for leadership · eval design for an existing model deployment · ranked risk read.
Deliverables
One readable memo. A ranked issues list. A recommended eval rubric. A “what to refuse” list, explicit.
Engagement shape
1-3 weeks. One operator. Direct access to the decision-maker.

Agents inside a real operating loop.

Agentic Workflow Design

Practical agentic patterns for teams that already have real work moving. Tool design, orchestration, guardrails, and the quiet operating loop around the agent.

Typical engagements
Redesign of a weekly operating loop · tool/orchestration scaffolding · agentic pattern chosen to fit the team shape · eval pass inserted before hand-off.
Deliverables
Working loop with named decision surfaces. Tool contract documentation. A before/after of the team’s coordination tax.
Engagement shape
3-6 weeks. Embedded alongside the team, not above it.

Honest read before an irreversible move.

Technical Audits

Architecture, data flows, AI usage, and vendor claims — read independently and written up for the person who has to act on the findings.

Typical engagements
Pre-commitment platform review · post-integration audit · internal AI-usage posture read · multi-year vendor claim verification.
Deliverables
Memo, not deck. Ranked findings. Recommended contractual protections. A rollout sequence the team can execute next Monday.
Engagement shape
2 weeks. No disruption to the sales conversation. No leaks.

Small, durable, compounding.

Prompt and Automation Systems

Prompt scaffolds, evaluation loops, small internal tools, and automations that compound across a team without becoming a second product to maintain.

Typical engagements
Internal prompt library · eval harness · small internal tool with a review loop · automation of a recurring judgment step.
Deliverables
Versioned prompts with tests. A working eval pass. A documented pattern the team can repeat.
Engagement shape
2-4 weeks. Built with the team, owned by the team.

Less surface, more gravity.

Product and Systems Thinking

From tangled surface area to a simpler model of the work. What the product is, what it isn’t, and how each part earns its place inside the broader system.

Typical engagements
Product thesis rewrite · cutlist for a drifted roadmap · weekly planning cadence anchored on one explicit decision.
Deliverables
Written thesis. One-page cutlist. Revised planning shape with a named decision surface per week.
Engagement shape
1-3 weeks. Works under live ship pressure.

Quiet rigour in the room.

Decision Support for Complex Initiatives

Second opinions, tradeoff memos, and pre-mortems for initiatives that cannot afford a wrong first move.

Typical engagements
Board-level second read · tradeoff memo before a hire or reorganisation · pre-mortem for a multi-year commitment.
Deliverables
Short, direct memo. Explicit rank of unknowns. A written “what would change our mind” paragraph.
Engagement shape
Days, not weeks. On demand.

Stack fluency

Comfortable across the modern AI stack.

Not a partner programme — a working familiarity with the tools that show up in real engagements. Selection is always shaped to the problem, not the sponsor.

  • ModelsAnthropic · OpenAI · Google · Mistral · Llama family · Qwen
  • OrchestrationLangGraph · CrewAI · AutoGen · native SDK loops
  • EvaluationBraintrust · Langsmith · Ragas · custom harnesses · golden-set workflows
  • Retrievalpgvector · Pinecone · Weaviate · Qdrant · hybrid search patterns
  • ObservabilityHelicone · Langfuse · OpenTelemetry · structured trace design
  • ProtocolsMCP (tool + resource servers) · function calling · structured outputs
  • GuardrailsPII redaction · output validators · policy layers · tripwires
  • RuntimeTypeScript · Python · Node · edge + serverless patterns
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