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Our Methodology

Scope. Ship. Scale.

AI has an execution gap — not an ideas gap. Startups are proving that small, focused teams can outpace enterprises on AI ROI, but even they struggle to move from experiment to operating capability. WNCP AI closes that gap across three areas where AI initiatives live or die.

Scope

Define the right problems

Cut through hype to identify what's actually defensible — for a single company or across an entire fund portfolio.

  • Separate real AI opportunities from wrapper products
  • Make build-vs-buy calls with practitioner judgment from Meta, Citi Ventures, and startup exits
  • Scope AI strategy at the company or portfolio level
Outcome

Kill bad bets before they burn a quarter.

Ship

Build real things, fast

Drive focused builds that produce working software, not presentations.

  • Compress deployment timelines from quarters to weeks
  • Access a vetted practitioner network for specialized depth when needed
  • Ship functional prototypes with expert architecture and mentorship
Outcome

Working software in people's hands, not decks on a shelf.

Scale

Make it last and make it grow

Design the path from working demo to organizational capability.

  • Architecture and systems guidance from prototype to production
  • Executive AI Immersions and Innovation Sprints for team adoption
  • Spread AI fluency across teams, leadership, and transformation efforts
Outcome

From 'cool demo' to 'how we operate.'

These aren't sequential steps — they're areas where WNCP AI meets you. Some organizations need help scoping their AI strategy across a portfolio. Others have a clear vision but need to ship faster. Many have shipped something but can't get adoption beyond the team that built it. Your Fractional Chief AI Officer works across all three.

CASE STUDY: VENTURE 313

Detroit's Largest AI Buildathon Proves Technical Background Is Optional

Headline Stat:17 AI prototypes built in 5 days—including solutions from participants who had never written a line of code. Non-technical participants produced fully functional AI-enabled applications, proving that with the right framework, technical background becomes optional.
100+
Participants
25%
Submission Rate
$17.5K
Grants Awarded
3
Skill Tracks

The Challenge

Venture 313—the $10M entrepreneur platform powered by the Gilbert Family Foundation—needed to activate Detroit's AI workforce during Michigan Mobility Tech Week. Traditional hackathons had yielded inconsistent results: variable project quality, high participant drop-off, and no mechanism to identify promising founders. They needed a format that could upskill people across all experience levels, surface new founders, and deliver measurable outcomes.

The Expert-Led Approach

Our AI Expert in Residence designed a 5-day hybrid build sprint using a continuous engineering framework. Instead of disconnected prototypes, all 92 registrants built within a shared product architecture—SkyMarket, a unified drone services marketplace demonstrating Michigan's Advanced Air Mobility capabilities.

  • Three structured skill tracks: Beginner (Lovable, low-code UI), Developer (Cursor, Supabase, Vercel), Expert (AI agents, OpenAI, MCP integrations)
  • Production-grade tech stack ensuring real-world transferability
  • Expert facilitation from practitioners at Meta, Google, Amazon, and Pinterest
  • Real-time mentorship across architecture, debugging, and pitch readiness
  • Pitch coaching from Venture 313 and ID Ventures for finalists

Real World Impact

7,200+
Professionals Trained

UMD Product Management Series

2,000+
Live Attendees

Interactive Curriculum

Clients
Trusted By Leaders

American Red Cross, MLT, /dev/color