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
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