AI-Powered Technical Due Diligence Platform: What It Caught (That Humans Would Have Missed)

It caught: A single developer owning a critical payments module, with no backup coverage.

The platform’s contributor analysis revealed something troubling. A key payment system—handling all transaction processing—had been almost entirely written and maintained by one developer over the past 14 months. No other engineer had reviewed the code in over six months. No documentation had been updated since initial deployment.

This would normally go unnoticed in a high-growth company. But the developer had just handed in notice, and no one else had been cross-trained on the module.

The AI-powered technical due diligence platform highlighted this risk by correlating commit logs, contributor velocity, and documentation gaps. The buyer flagged this as a Tier 1 concern and immediately launched a handover and retention strategy. It prevented what could have been a total outage risk—discovered just in time.

It caught: Two public-facing APIs still receiving traffic—untracked, unaudited, and technically orphaned.

The team believed these APIs had been deprecated months ago. Internally, they were marked as “retired.” But server logs told another story: hundreds of active user sessions were still hitting these endpoints every week.

Even more concerning? Neither API had authentication monitoring enabled. One used outdated encryption. The other exposed deprecated endpoints that hadn’t been security-patched in over a year.

This wasn’t a red flag—it was a blind spot. The engineering team didn’t know the services were still active.

The technical due diligence platform powered by AI pieced it together by combining live traffic logs, deployment inactivity, and endpoint metadata. With this alert, the acquirer immediately prioritised sunset planning and incident risk mitigation—before breach headlines could ever form.

It caught: A disconnect between roadmap promises and actual code delivery.

According to the product roadmap, the company had fully launched localisation in eight languages. Sales presentations echoed this loudly.

But the platform’s code diff analysis told a different story. Only two language packs had actually been deployed. Four were less than 20% complete. The rest existed as placeholder branches, never integrated.

The team hadn’t lied—they’d jumped ahead in messaging, hoping development would catch up in time. But if the acquirer had taken that at face value, expansion plans would have relied on features that didn’t exist.

The AI-powered technical due diligence platform allowed deal-makers to reconcile marketing language with engineering reality. International rollout plans were postponed, resource plans adjusted, and credibility was preserved.

It caught: An abandoned internal admin tool with unrestricted access—including to ex-employees.

A forgotten web tool used in early onboarding phases was still connected to live infrastructure. It was reachable outside the VPN and had a basic admin panel.

But the bigger issue? Five inactive users—including interns and contractors—still had active permissions, including system-wide access privileges. None of them had been deactivated after departure.

This discovery came not through a manual checklist, but through the platform’s cross-referencing of access logs, identity management systems, and dormant credential scans.

Thanks to the AI-powered technical due diligence platform, this exposure was addressed instantly. Offboarding protocols were rewritten, and all critical systems were audited proactively.

It caught: Performance degradation hidden beneath optimistic dashboards.

The analytics dashboard looked fast. But under high usage loads, latency quietly spiked—especially in peak hours in the EU region.

The engineering team had chalked it up to front-end load times. But the platform pinpointed deep inefficiencies in a shared backend service. A database query buried in a loop was causing cumulative delays.

Refactoring it would take three weeks—but catching it pre-acquisition avoided six months of user churn post-close. The insight redefined what readiness actually looked like.

That’s what an Artificial Intelligence -powered technical due diligence platform provides: not guesses, not averages—but truth, surfaced early enough to change the outcome.