Formats as containers for change.
The same organisation often needs a diagnostic before training, a lab before a build, and a build only after a pilot has earned it. Pick the entry point closest to the problem — every one of them ends in decisions and artifacts, not another slide deck.
AI Readiness Diagnostic
Before anyone sits through a single slide, we go looking for where AI actually earns its keep inside your organisation. We map the decisions and workflows the effort would touch, pull apart the convenience tasks from the work where quality and defensibility genuinely matter, and hand you back a scored, owner-assigned shortlist of the moves worth making first.
→ You leave with a ranked shortlist, not a wishlist.
- Decision and workflow mapping
- Convenience vs high-stakes sorting
- Value, feasibility, and risk scoring
- A prioritized, owner-assigned shortlist
Leadership & Judgment Lab
A short, intense room for the people who have to sponsor AI without pretending to become engineers overnight. We work live cases from strategy, HR, finance and operations — and, the part that changes everything, we ask each leader to commit to a call before the model shows its hand, so the gap between instinct and output becomes impossible to ignore.
→ Shared judgment your leaders can stand behind.
- Live cases across strategy, HR, and finance
- Judgment-before-output exercises
- Owner, review-rule, and risk-boundary maps
- Governance rhythms leaders can enforce
Everyday-Work Practice Cohort
This is where daily work quietly changes shape — the writing, the research, the analysis, the reviewing, the reporting. Teams bring their own real tasks instead of tidy prompt drills and rehearse the loop that makes AI stick: draft, inspect, verify, revise, until the habit outlives the workshop and every manager knows exactly what to check.
→ New habits that survive Monday morning.
- Practice on real work, not prompt drills
- Draft, inspect, verify, revise loops
- Evidence-trail review for managers
- Reusable task and prompt libraries
Prompt & Context Engineering
Everyone obsesses over the prompt, but the real leverage lives in the context around it. We teach teams to assemble legitimate inputs — briefs, data packs, glossaries, review rules — so the output comes back consistent, accurate and unmistakably on-brand every time, rather than brilliant once by luck and unrepeatable after.
→ Reliable output, not lucky output.
- Advanced prompting frameworks
- Shared context libraries and briefs
- Source discipline and verification ladders
- Output testing and optimization
90-Day Capability Build
No single workshop can carry an entire adoption effort, so this one unfolds across a quarter. Cohorts move through clinics, office hours and capstones, and slowly the thing you wanted all along starts to appear: individual confidence hardening into shared operating habits, and prototypes credible enough to earn real budget.
→ Prototypes leadership is willing to fund.
- Use-case clinics and office hours
- Capstone builds reviewed by leadership
- Automate, inspect, and refuse decision rules
- A roadmap for what earns budget next
Higher-Ed & Faculty Adoption
For institutions where AI walked in through the students long before policy ever caught up. We help faculty redesign assessment around judgment traces and oral defence and, instead of delivering one more lecture about tools, get them building the kind of learning artifacts their students will actually remember.
→ Faculty who build, not just warn.
- Assessment redesign around judgment traces
- Source discipline and AI-use disclosure
- Faculty artifact-building workshops
- AI-use mapping across teaching and research