AI Strategy
Clarity before commitment.
Commit budget to AI with a number behind the decision, not a hunch. Our strategy sprints, architecture audits, and build-vs-buy memos quantify the opportunity, the cost, and the risk, so you and your board move forward with confidence. We can build it afterward, or hand the plan to your team.
01 · Consulting engagements
Six types of engagement.
Strategy before code. Every engagement produces a written, numbered deliverable, not slide decks and verbal recommendations.
01 · Engagement
AI Strategy Sprint
A two-week sprint that produces a written AI roadmap: prioritised use-cases, build-vs-buy recommendations, data readiness assessment, and a 90-day action plan.
02 · Engagement
Architecture Audit
A thorough review of your existing AI system (model selection, eval coverage, infrastructure reliability, and security posture) with a prioritised remediation plan.
03 · Engagement
Build-vs-Buy Analysis
Rigorous financial and technical analysis comparing custom builds against SaaS vendors and open-source options. We model the 3-year TCO, not just the sticker price.
04 · Engagement
AI Readiness Assessment
Evaluate your data infrastructure, engineering team capacity, and organisational readiness before committing to an AI build. We tell you what's missing and how to fix it.
05 · Engagement
Model Selection & Evals
Model bake-offs on your actual data and use-case. We run the evals, present the results, and make a written recommendation backed by numbers, not vendor marketing.
06 · Engagement
AI Team Upskilling
Hands-on workshops and pairing sessions to bring your engineering team up to speed on LLM engineering, RAG, and eval-first development. Knowledge transfer, not dependency.