What I Learned Scaling FasterOutcomes from 0→1
Building an AI legal tech platform from scratch in 12 weeks taught me lessons about product-market fit, team building, and shipping production LLM systems fast.
Building Production AI Systems That Scale
CTO at FasterOutcomes | Author of "The Centaur CTO" | 25+ Years in Software and Architecture
Scaling FasterOutcomes from 0→1→Series A
I joined FasterOutcomes as part-time CTO in March 2024 with a challenge: build an AI legal tech platform from scratch in 12 weeks. We shipped the MVP on schedule.
I became full-time CTO in June 2025. My work focuses on product architecture, engineering hiring, and preparing the platform for its next stage of growth.
12 weeks
MVP Launch
June 2025
Full-time CTO
Engineering
Team Scaling
Series A
2026 Prep
Production AI Systems at Scale
Building award-winning systems from startups to global platforms
Uber ELLE
Award-winning AI decision engine serving Uber's global privacy operations. Built production LLM systems for security and privacy automation.
- Award-winning AI decision engine
- Global enterprise privacy platform
- Production LLM systems at Uber scale
- 9 web applications, 50+ infrastructure projects
FasterOutcomes MVP
Built AI legal tech platform from 0→1 in 12 weeks as part-time CTO. Achieved product-market fit with enterprise customers, transitioned to full-time CTO in June 2025.
- 0→1 in 12 weeks (part-time CTO)
- Achieved product-market fit
- Enterprise customers
- Transitioned to full-time CTO (Jun 2025)
BayRockLabs AI Practice
Led GenAI consulting practice helping multiple enterprise clients ship production AI systems.
- GenAI consulting lead
- Multiple enterprise clients
- Production AI implementations
- Technical architecture and strategy
Coming End of 2026
The Centaur CTO: Leading with AI to Be More Human
A practical leadership guide for CTOs who want better judgment, stronger teams, and more human impact with AI. Based on real experiences scaling FasterOutcomes, building award-winning systems at Uber, and 25+ years of engineering leadership.
The best CTOs will not be the ones who automate the most work. They will be the ones who combine AI leverage with human judgment. Topics include: using AI as a leadership operating system, coaching and growing people, making hard tradeoffs, building trust, and deciding what should not be automated.
Insights on AI Leadership
Thoughts on building production AI systems, scaling engineering teams, and AI-powered leadership
Production LLM Systems: What CTOs Need to Know
Moving from POCs to production LLM systems requires different thinking. Here's what I learned building ELLE at Uber and FasterOutcomes MVP.
The Parallel Contracts Model: A Post-Mortem
From 2024-2025, I ran 3 parallel contracts simultaneously. Here's what worked, what didn't, and why I chose to go all-in as full-time CTO.
About Frank Goortani
I'm currently CTO at FasterOutcomes, an AI legal tech startup preparing for Series A. I joined as part-time CTO in March 2024, built the MVP in 12 weeks, and went full-time in June 2025 to scale the company from early revenue to Series A.
Previously, I was a Solution Architect at Uber, where I built the award-winning ELLE AI Decision Engine—a production LLM system serving Uber's global privacy operations.
My 25+ year career spans enterprise architecture at Canada Life and TD Bank, technical leadership at Home Depot Canada, and now startup CTO. I've consistently focused on one thing: building production AI systems that scale.
I specialize in:
- Production LLM systems (RAG, AI agents, agentic workflows)
- Scaling engineering teams (startup to enterprise)
- AI-powered productivity (3-5x gains with modern AI tools)
- Technical strategy and decision-making
- 0→1 product development
I hold an M.Sc. in Management and B.Sc. in Computer Software Engineering from AmirKabir University. I live in Aurora, Ontario with my family. When I'm not building AI systems, I'm writing "The Centaur CTO" (launching end of 2026) and sharing insights with my 13K+ LinkedIn followers.
Let's Connect
Focused full-time on FasterOutcomes, with select speaking and advisory engagements
Speaking: Available for select speaking engagements on AI leadership, production LLM systems, and scaling engineering teams.
Advisory: Open to board and advisory opportunities at AI-first companies.