HireRoad rewrites legacy code in 15 weeks by redesigning jobs around AI

Bob Morse, managing partner of Strattam Capital, opens with a case study of HireRoad, an HR software company owned by his investment firm. In December, when Jeff Fernandez joined as CEO, HireRoad faced a common problem in buy-and-build SaaS: accumulated aging code bases from acquisitions. The company had planned an 18-month clean-sheet rewrite of one of its oldest products, budgeted for a 30% surge in engineering headcount.

Instead, in February, Fernandez and the new CTO proposed a radical alternative: redesign the engineering organization and individual job roles around the power of off-the-shelf AI tooling. Rather than working the same way with AI bolted on, they would reimagine what people do all day. The result was completion in 15 weeks instead of 18 months—actually one week ahead of even the accelerated schedule. As of the article's writing, 34 customers had migrated to the new platform and were live with positive feedback. Full migration and legacy decommissioning is on track to complete by the end of calendar year 2026. Remarkably, the team accomplished this with fewer people than originally planned, freeing the intended 30% headcount increase for other HireRoad product initiatives.

Morse reflects on Strattam's broader experience providing AI tools like Copilot and Claude Code to engineering teams across its software portfolio. These efforts yielded consistent but plateau-like gains: 10% productivity improvement, then 20%, then stabilizing around 30%. The breakthrough came when leadership realized that providing tool access alone—what Morse calls "AI-sprinkled" organizations—was fundamentally different from "AI-native" work. He defines AI-native as daily practices that put AI tooling first and humans in roles of orchestration, coordination, and communication, not merely doing the same things faster but instead doing different things with more delegation and quicker learning loops.

Morse situates this insight within business strategy theory, citing Robert Burgelman's framework of induced (evolutionary) versus autonomous (revolutionary) strategies. Induced strategies advance the company's existing trajectory; autonomous strategies arise outside the business plan and require organizational revolution. The analogy of electricity in manufacturing is key: simply replacing a single steam engine with a single electric motor delivered minimal gains, but redesigning factories with distributed small motors throughout yielded explosive productivity increases—though this took decades. Burgelman's research on Intel, described in Grove's book "Only The Paranoid Survive," provides the motivational touchstone: when Intel faced a brutal price war in memory chips while its microprocessor business grew quietly, Grove and Moore famously asked themselves, "If we were fired and a new CEO hired, what would they do?" The answer was obvious—exit memory, go all-in on microprocessors—and they chose to execute that revolution themselves rather than wait for outside intervention.

HireRoad's concrete organizational changes included: new technology leadership training on a revised hour-by-hour work schedule optimized for AI tooling; sales working directly with engineers to put rapid prototypes into customer hands for faster feedback; customer support designing a high-confidence transition plan; and a bug-handling loop where the system logs issues, AI writes code fixes, and a human-in-the-loop approves before publication. The result was a smaller, more senior team with capacity freed for expansion into other initiatives.

Morse concludes by positioning AI-native organization as the third major management innovation of his private equity career, after 1980s cost-reduction and 2010s SaaS conversion. With roughly 10,000 privately held software companies in the U.S., he argues that leaders know—explicitly or by instinct—that repeating the same organizational approach in the age of AI is a losing strategy. Competitors moving at 3× speed will gradually starve rivals that don't change. He challenges readers to run the Grove thought experiment: if fired today, what would a new CEO do to win with your company in the age of AI? He suspects the answer is not "sprinkle more LLM access" but fundamental redesign of teams and daily work.