ClearRoute, a platform engineering consultancy, drew its findings from four years of Route-to-Live assessments across financial services, retail, healthcare and technology organisations. The pattern that emerged was consistent: AI-assisted coding tools have compressed the 20% of the software lifecycle devoted to writing code. The 80% covering testing, security, compliance, governance and release orchestration has not moved.
The report frames this as the 80% Problem. Code reaches completion faster, then waits. And for some organisations, the wait is measured not in days but in months. At one large firm assessed, the average lead time for a business-critical feature was 266 days. Fixing a critical production bug took 158 days.
James Jarvis, CEO of ClearRoute, said: "AI has changed the speed of software creation, but not the speed of enterprise delivery. For many organisations the bottleneck was never writing code, but the manual approvals, brittle test suites, fragmented environments, governance processes and release constraints surrounding them."
The commercial damage is quantifiable. One global financial institution's £2.76 million annual engineering investment delivered only 5% of its potential value in released features. At another, new engineers needed between three and six months to make their first production contribution.
The report draws a line between organisations that benefit from AI and those hurt by it. Teams with high levels of manual testing and release management see change failure rates of 10–20%. Elite teams achieve below 5%, deploying multiple times per day. ClearRoute describes AI as acting as a Great Amplifier: it accelerates already high-performing organisations and deepens the dysfunction of those still relying on manual processes.
There is a governance dimension that extends beyond current delivery struggles. As AI agents begin interacting directly with pipelines, environments, and production systems, organisations without platform-level controls for identity, access, and oversight face compounding risk.
Sarndeep Nijjar, CTO at ClearRoute, said: "The next phase of AI in software delivery will be defined by control. Without that foundation, enterprises will not scale AI safely; they will simply create another layer of complexity."
The full State of the Route to Live 2026 report is available at clearroute.io.
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