AI Pathfinder – Project Story

🌟 Inspiration

As an AI consultant I kept hearing the same question: “Where do we even start?”
Power-points and spreadsheets felt static, so I built Pathfinder to automate discovery—delivering a numeric readiness score, ROI forecasts, and a click-to-execute roadmap.


📚 What I Learned

  • Executives gravitate to a 0–100 readiness score—it frames AI as a measurable journey.
  • ROI calculators need sensitivity sliders (best / likely / worst) to be trusted.
  • Vertical phase columns (Discovery → Pilot → Roll-out) are scanned faster than horizontal Gantts on mobile.

🛠️ How I Built It

  • Adaptive questionnaire stored + versioned in Supabase (readiness_questions & responses).
  • OpenAI o4-mini ranks 50+ SMB use-case templates; an Edge Function computes cost, payback, and annual value.
  • React Flow renders the roadmap; users can export it as CSV via Papaparse.
  • Netlify handles CI/CD; row-level security keeps each org’s data siloed.

⚠️ Challenges

Issue Fix
Normalising cost assumptions across industries Added sector multipliers + user-editable sliders
Duplicate “chatbot” variants clogging recommendations De-duplication hash on use-case + benefit string
Dense tables unusable on mobile Collapsible accordions + progressive disclosure

🚀 What’s Next

Slack integration – push roadmap task reminders and milestone alerts directly to teams.

AI Pathfinder is evolving into a full decision cockpit—turning AI hype into concrete, trackable value for every business.

Built With

  • netlify
  • openai
  • papaparse
  • react
  • supabase
Share this project:

Updates