AI Code Review at Commit: How IT Teams Cut Delivery Costs 20–30%

Ask a delivery lead where their senior engineers' time goes, and the honest answer is rarely "architecture". It's reviews, status reports, health checks and routine configuration — necessary work that doesn't need senior judgment for 80% of its volume.

The hidden cost structure

For a 20-person delivery team at a fully-loaded ₹1.2L/month per engineer, routine work at 30% of capacity costs roughly ₹86L per year. That's the budget hiding in plain sight.

What AI agents actually take over

Not the hard parts — the frequent parts:

• Code reviews at commit time. Every update set checked against best practices the moment it lands, with findings and suggested fixes queued for human approval.
• Instance health monitoring. Drift, performance signals and misconfigurations caught before the client notices.
• POC builds. Pre-sales demos scaffolded in hours instead of days of senior time.
• Status and planning rollups. Live progress views instead of Friday-afternoon spreadsheet archaeology.

The realistic math

Teams adopting agent-assisted delivery typically free 20–30% of capacity within two quarters. Whether you redeploy that capacity to new revenue or reduce spend is a management choice — the point is you get the choice.

Team size	Routine work	Capacity freed	Net annual savings*
10	30%	~3 FTE	~₹34L
20	30%	~6 FTE	~₹54L
40	30%	~12 FTE	~₹1.5Cr

*After platform subscription, at ₹1.2L/month fully-loaded cost.

Where to start

Don't boil the ocean. Pick one high-volume, low-judgment workflow — commit-time review is the usual winner — run it for a month, and measure. A credible vendor will baseline your real numbers before asking for a commitment; that's exactly what a free IT cost & health assessment is for.

The teams that win the next budget cycle won't be the ones that worked longer hours. They'll be the ones that stopped spending senior salaries on routine work.