The graveyard of enterprise AI pilots is overflowing, and Chris Taylor thinks he knows exactly why. Sitting down with TechCrunch’s Rebecca Bellan on the Equity podcast, Taylor and co-founder Eddie Siegel laid out a blunt diagnosis: most companies treat AI like a strategy problem when it’s actually an engineering problem. Their answer is Ode, a new joint venture backed by heavy hitters including Anthropic, Blackstone, Hellman & Friedman, and Goldman Sachs. The venture recently acquired Fractional AI — the applied AI services startup Taylor and Siegel founded — to serve as its operational core.
The math they’re pitching is deliberately provocative. Where a traditional consulting engagement might deploy 200 people to map out a digital transformation roadmap over 18 months, Ode embeds a squad of roughly 10 forward-deployed engineers who build working systems in weeks. The difference isn’t just speed. It’s a fundamental disagreement about where AI projects die. Taylor argues that most pilots stall not because the technology isn’t ready but because the organizational machinery around procurement, compliance, and internal politics smothers them before they reach production. Embedding engineers directly inside the client bypasses those bottlenecks.
Siegel pointed to a pattern they’ve observed repeatedly: a company spends months on vendor selection and proof-of-concept development, only to discover that the model’s behavior in a sandbox bears little resemblance to how it performs on real, messy enterprise data. By the time anyone realizes the gap, the budget is exhausted and executive patience has evaporated. Ode’s model is designed to collapse that timeline by putting engineers in the same Slack channels as the client’s own teams, iterating against live data from day one.
Whether this approach scales beyond a handful of high-touch engagements remains an open question. The venture has the capital and the Anthropic partnership to make a serious run at it, but the services business is littered with firms that promised to reinvent consulting and ended up looking a lot like the incumbents they mocked. Taylor and Siegel seem aware of the irony. Their pitch is essentially that AI-native services are about to become one of the biggest categories in tech — and that whoever figures out the delivery model first wins.
