The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch 20VC: Enterprises Will Not Adopt AI without Forward-Deployed Engineers | Who Wins the Data Labelling Race: How Does it Shake Out? | How Synthetic Data Threatens the Future of Human-Generated Data with Matt Fitzpatrick, CEO of Invisible Technologies
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Dec 31, 2025 
Matt Fitzpatrick, CEO of Invisible Technologies and former McKinsey senior partner, dives into the crucial role of forward-deployed engineers in AI adoption. He argues that enterprises can’t fully embrace AI without these experts, highlighting the gap between AI model advancements and slow enterprise deployment. The conversation also covers the evolving data labeling landscape, the importance of quality data, and how human feedback remains invaluable in AI training. Fitzpatrick's insights emphasize the need for specialized strategies as AI reshapes industries.
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Model Gains Don’t Equal Enterprise Adoption
- Model quality has raced ahead but enterprise adoption lags due to infrastructure, workflows and trust requirements.
- Matt Fitzpatrick argues enterprise deployment is a decade-long journey requiring validation, observability and governance.
25M Returns Agent That Hallucinated
- An e-commerce retailer spent $25M building a returns agent and measured success by speed and sentiment.
- The agent later hallucinated costly outcomes and the company reverted to deterministic flows.
Run GenAI Like An Operations Project
- Anchor GenAI projects to clear operational KPIs, short lists of priorities, and business ownership rather than burying them in tech.
- Pay only when milestones are met and focus exec attention on three to four initiatives that move the needle.