Electric's Founder Says Going AI-Native Broke Direct Sales — and Opened Channel Deals Instead

Ryan Denehy, founder and CEO of Electric and a two-time seller to public acquirers, lays out a blunt account of what actually happens operationally when a company rebuilds itself as AI-native — not the strategy-deck version, the pricing-and-headcount version. Electric’s five-step reinvention: acknowledge the problem while the numbers still look fine, decide where you can actually win, shore up the balance sheet, make hard personnel calls, then execute aggressively in the new direction. The concrete effect of going AI-native was that Electric’s unit price collapsed while margins improved — a combination that made direct, rep-led sales uneconomical at the new price point, but unlocked channel partnerships that hadn’t been reachable before. Electric struck deals with ADP (distributed through 1,700 sales reps), Justworks, and TriNet; one partnership onboarded 300 customers in a single day, beating the company’s best full month under its old direct-sales model. Denehy’s framing for why distribution mattered as much as product: “that business only worked because they paid car companies to install it,” referencing SiriusXM’s model — direct one-by-one acquisition wouldn’t have scaled the same way.

The mechanism underneath that shift — AI collapsing unit economics enough to make channel distribution suddenly viable — echoes what a GTMfund analysis found across a different cohort of AI-native companies scaling on direct enterprise sales instead. That piece traced the “forward-deployed engineer” pattern: a senior engineer embedded post-contract to get an agent into production, addressing the gap where MIT research found 95% of enterprise AI pilots stall before reaching real use. Decagon reportedly takes deployments from discovery to live in about six weeks using dedicated FDEs; Sierra prices per resolved outcome instead of by seat. Electric’s channel bet and the FDE-driven enterprise motion are opposite distribution strategies solving the same underlying problem: once AI changes what a product actually costs to deliver, the traditional AE-led sales motion often stops being the right vehicle for closing the gap between pilot and revenue.