The first phase of end-to-end AI enablement: get your team started — or get adoption moving again. We expertly design AI challenges, hackathons and innovation experiences around the work your business actually needs to improve. Competition is how we teach, train and reveal the opportunities for transformation. Non-coders build alongside colleagues, test ideas and share what works. Run once, quarterly or throughout the year.
Participation changes culture
Most teams have watched enough demos. What they're missing is the felt experience of shipping something real with AI, alongside their colleagues, inside their own stack. A challenge creates that experience on purpose — without asking everyone to become an engineer.
For mid-market operators, the bottleneck is often attention, confidence and permission to try. We make space for all three: relevant briefs, live coaching, friendly competition and a leadership readout. Repeat the rhythm each quarter so the first event becomes a habit.
Real problems, clear success criteria
Meet your operators and team leads to find the workflows, friction and opportunities worth tackling.
Turn those opportunities into accessible challenge briefs with clear business-value scoring.
Agree approved tools, data boundaries and human-review rules before the event.
Baseline confidence and adoption, nominate sponsors, and define what success looks like after the demos.
One-off · quarterly · annual
A focused 1–2 day event, with preparation and follow-up. Cross-functional teams tackle your briefs, practise with approved tools, build prototypes and demo to leadership. Coaching makes it accessible to non-coders; scoring rewards usefulness, not code complexity.
A recurring challenge each quarter, shaped around a new operational priority. Between events, internal owners review what was adopted, refine the backlog and share reusable artefacts. Each round builds on the last rather than starting from zero.
A year-long calendar of quarterly challenges, targeted live sessions, champion support and leadership reviews. Bring different functions into the rhythm, track participation and adoption over time, and maintain a pipeline of opportunities ready for implementation.
Deliverables
Team-built prototypes and demos, with a clear distinction between experiments and production-ready systems.
Reusable prompts, challenge briefs and workflow artefacts owned by you.
Named internal owners and a follow-up review cadence.
A scored opportunity backlog: pursue, test further or park, with the business case recorded.
Responsible-AI rules for approved tools, data handling and human review.
A participation and adoption readout, plus the next challenge plan for recurring engagements.
What changes
Every engagement is led by Joao Alves, a second-time founder who has worked in AI since 2020 — most recently inside a leading fintech company at a $7B+ valuation doing over $500M ARR, helping regulated firms put AI into production.
Joao is supported by a small bench of senior practitioners drawn from financial services, VC-backed AI startups, and risk and governance teams. Engagements are staffed for fit — every challenge, AI leadership retainer and implementation is led by people who have done the work, not delegated it.
Connect to the next phase
Keep momentum with a Fractional CAIO / AI Concierge retainer, or commission DotCom→DotAI Transformation to build the strongest prototypes into production.
Most engagements start with a 30-minute scoping conversation. No deck, no pitch — just your context.