ROI Model

Veriva earns its seat cost in three places: engineer time saved on code review, incidents avoided by blocking bad merges, and AI spend reduced via prompt caching. The calculator below keeps the documented review-time formula, but lets you swap in your own team size, PR volume, and fully loaded engineering cost.

Formula

savings_per_month =
  (PRs per dev per month)
  x (devs)
  x (review minutes saved per PR)
  x (fully loaded $/minute)

The calculator fixes review minutes saved at 6 minutes per PR, matching the original worked example. That is deliberately conservative: it does not count incident response avoided, time saved by merge-policy automation, or audit-trail work removed from compliance reviews.

Worked example

• 10 developers
• 40 PRs per developer per month = 400 PRs
• 6 minutes saved per PR
• $1.50 per minute fully loaded
• Monthly gross savings: 400 x 6 x $1.50 = $3,600
• Veriva Pro cost: 10 x $29 = $290
• 12x payback before incident avoidance

Incidents avoided

Merging a CRITICAL finding costs more than engineer time. Median incident cost across industries can run from thousands to tens of thousands of dollars once remediation, customer impact, and on-call burden are included.

The post-merge outcome loop tracks which findings preceded reverts. Once a customer has enough data, that loop turns avoided incidents from a story into a measurable retention and trust signal.

AI spend reduction

If you already use another AI reviewer, Veriva's multi-model routing and prompt caching cut the AI cost portion on repeat-PR-same-repo traffic. We surface cache hit rate and cost per PR in the admin overview so the savings are visible after launch.

Governance ROI

• Audit trail — Compliance teams stop building spreadsheets.
• Agent trust scoring — Leadership gets data on which agents are safe near production.
• Merge policy as code — Guardrails survive team turnover.
• Provenance per finding — Every block has a reason an exec can read.