For CTOs, VPs and managers of 20–200-engineer teams
AI spend is up. Finance wants the ROI. Your seniors are buried in reviews.
Testata gets your team hours back every week, stated in dollars and measured before and after with a read-only PR metrics report. We find where the hours go, build the fix in your repos and CI, and show the difference.
Get the free audit How it works
10-minute form · written audit within 24 hours · no call required
Sound familiar?
- Our AI tooling bill keeps climbing, and finance is asking what it bought.
- PRs pile up waiting on the same few senior reviewers.
- Every team rolled out Copilot, Cursor or Claude its own way. Nobody shares what works.
- The usage dashboard shows activity, not hours saved. I can't put a number in front of leadership.
AI tools write more code, but they don't route it, review it or measure it. The extra work lands on your most expensive engineers, and the savings never show up as a number anyone trusts.
The outcome: hours back per week, stated in dollars
Before we build anything, we take a baseline from read-only PR metrics: timestamps and counts from your Git host, no source code. Thirty days after delivery we run the same report again.
The hours recovered per week, multiplied by your loaded engineering cost, is the number we're held to.
What the report measures
- Time to first review
- PR cycle time, open to merge
- Review load per reviewer, and who the bottleneck is
- PRs waiting more than a day
- Review rounds per PR
Illustrative estimate, not a result
40 engineers × 1 hour recovered per engineer per week × $100/hour = $4,000 a week, about $200,000 a year over 50 working weeks.
Assumes $100/hour, roughly $200k fully loaded cost ÷ 2,000 working hours, and 1 hour recovered per engineer per week. Your audit replaces every number here with yours and shows its assumptions.
Step 1: the free audit
A written audit of where your team loses hours and what it would take to get them back. Free, no code access, no call required.
Fill in the 10-minute form
Team size, the AI tools you pay for, monthly spend, and where you think the hours go.
Optional: share read-only PR metrics
Timestamps and counts, no code. It turns a rough estimate into a sharp one.
Get the written audit within 24 hours
The hours and dollars recoverable per week (an estimate, with its assumptions), the top 3 fixes ranked by hours, and a fixed quote for the sprint. Reviewed by Frank before it's sent.
Step 2: the sprint
A fixed-price build. Everything lands as pull requests in your repos; your engineers review and merge. Nothing changes without your review.
What gets built
Agent instructions
Repo-level instruction files (AGENTS.md, CLAUDE.md, Cursor rules, Copilot instructions) so every tool knows your conventions, commands and no-go zones.
Review-load control
Review routing, CODEOWNERS and PR-size guardrails that spread reviews beyond the same few seniors and keep PRs reviewable.
AI pre-review in CI
An AI review pass on every PR that flags the routine issues before a human looks. It comments; it never approves or merges.
Shared skills
Reusable, versioned commands and skills for your common tasks (tests, migrations, refactors), so every team starts from what works.
ROI report
The before-and-after PR metrics report: hours and dollars recovered per week, on one page you can hand to finance.
Founding price
$4,500
Fixed. No hourly billing. The price rises 20% after every 5 sales; the next price is $5,400.
5–10 hours of senior-engineer time from Frank (principal software engineer, 17 years), plus AI build work that he reviews.
The guarantee
if the agreed weekly hours target isn't reached within 30 days of delivery, we keep building at no charge for up to 60 more days. If it still isn't reached, you get a full refund
The weekly hours target is agreed in writing before the sprint starts, based on your baseline report.
After the build: upkeep
Models, tools and your codebase keep changing. After the build we quote a monthly upkeep: keeping agent instructions, skills and CI review current, and setting up the AI agents you already pay for. The first 30 days after delivery are included in the sprint.
Prefer to do it yourself?
The AI Coding Rollout Kit
$147
30 days to a team-wide rollout, and numbers finance will accept. The playbook and installable assets behind the sprint, for teams with the time to roll it out themselves.
- A 30-day rollout playbook (about 20 pages)
- Agent instruction templates for Claude Code, Cursor, Copilot and Codex
- 8 ready-to-install skills for common team tasks
- Two CI workflows: AI pre-review with a PR-size gate, or comment-only
- An ROI report tool: before-and-after PR metrics from your GitHub org, in hours and dollars
- A spend tracker, an AI-use policy template and a day-0 / day-30 adoption survey
One-time purchase through Stripe. No build work or guarantee included; that's what the sprint is for.
Questions
What access do you need to our code?
None for the audit. For the PR metrics report, a read-only token, and the report reads pull-request metadata only (timestamps, counts, reviewers), never file contents.
For the sprint, the least privilege the work needs, granted by you and revocable at any time. We sign your NDA, or send ours, before any access.
Do you work with GitHub or GitLab? Which AI tools?
GitHub and GitLab, including GitHub Actions and GitLab CI. On the tools side: Claude Code, Cursor, GitHub Copilot and OpenAI Codex. We set up the tools you already pay for rather than asking you to switch. Using something else? Say so in the form.
We already have a platform team. Why would we need this?
Good: they're who we hand off to. Platform teams usually own CI, environments and internal tooling, and an AI rollout is one more item in their queue. We do the focused AI build as pull requests their engineers review, and hand it over documented so they own it afterwards.
Why not hire someone in-house for this?
You might, eventually. Public job postings for in-house AI developer-productivity roles list salaries of roughly $180k–$400k a year, before benefits, recruiting time and ramp-up.
The sprint is a fixed $4,500 at the founding price, measured against an agreed target, and if the target is missed we keep building at no charge. If you do hire later, everything we build already lives in your repos.
Who actually does the work?
Frank J., a principal software engineer with 17 years of experience, runs the audit, designs the fixes and reviews every change. AI agents do the build work under his review. You deal with him directly.
How is the dollar figure calculated?
Hours recovered per week × your loaded hourly engineering cost. You give us the cost, or we use $100/hour and say so. Every figure in the audit is labeled as an estimate with its assumptions until the after-report measures it.
What happens after the audit?
You read it and decide. If you want the sprint, reply to the email. If not, keep the audit and use it however you like.
Start with the free audit
Ten minutes of your time. A written audit within 24 hours with the hours, the dollars, the top 3 fixes and a fixed quote.
I'm Frank. I find where your team's hours go, design the fix, and review every change the AI agents build. No account managers, no hand-offs: you deal with me directly.
Frank J. — principal software engineer, 17 years