How the Sprint works
The sprint is lightweight to enter, hands-on to participate in, and rigorous enough to identify opportunities worth backing.
Pick a track
Focus ideas around customer, operations, growth, decisions, or risk/control.
Form a mixed team
3–5 people combining business ownership, domain insight and data/AI capability.
Build with support
Advisory clinics, AI sandbox guidance and value reviews help shape credible concepts.
Showcase the idea
Submit a concise pitch, demo or prototype-over-polish proof point.
Gate matched funding
Selected ideas move through validation and pilot gates before support is released.
The sprint journey
Stage 1 · Launch + tracks
Challenge tracks, examples, criteria and submission guidance.
Stage 1 · Team formation
Mixed squads align business problem, sponsor and value case.
Stage 2 · Build sprint
Advisory clinics, value reviews and AI sandbox/tool guidance.
Stage 2 · Submission window
Pitch, demo/storyboard, data path and pilot ask submitted.
Stage 3 · Demo Day + shortlist
Teams showcase ideas; panel selects validation candidates.
Stage 4 · Validation gate
Matched support released where value, data and controls are clear.
The recommended team: small, mixed, value-led
Business sponsor
Owns the value case, confirms the priority problem, champions the opportunity through selection and pilot gates.
Domain expert
Understands the customer, process, workflow or decision area where AI could make a measurable difference.
Data / AI builder
Assesses data availability, tool choices, prototype path and where specialist support or sandbox access is needed.
Delivery / risk voice
Brings change, operations, finance, risk or governance perspective so the idea can move from demo to adoption.
What a standout submission looks like
Track fit
State the challenge track and the customer, operational, commercial or decision problem addressed.
Prototype or demo
A light demo, storyboard, workflow mock-up or evidence of how the AI interaction would work.
Measurable value
Quantify the expected benefit: revenue, margin, cost, risk reduction, service quality or speed.
Pilot readiness
Identify users, sponsor, data owner, data availability, controls and the minimum viable pilot question.