Apply for the 90-day engagement

Your developers have AI. Your engineering economics should show it.

If Copilot, Claude and Codex haven't materially reduced your cost to build software or increased what your team can ship, we'll redesign your SDLC around AI in 90 days.

Apply for the 90-day transformation
Limited consulting engagements
50%+
Target productivity gain
90
Days to transform the SDLC
$1M+
Saved in one client engagement
2X
Production rollouts in the same case

What are Copilot, Claude and Codex actually saving you?

If the team still costs the same, releases take the same time and the roadmap needs the same headcount, AI hasn't created much operating leverage yet.

  1. 01
    Did engineering cost come down?
  2. 02
    Can the same team deliver materially more?
  3. 03
    Did releases get materially faster?
  4. 04
    Can you put a dollar figure against AI productivity?

14 people became 6. Releases became weekly.

A home health company operating across 11 states had a 14-person onshore/offshore engineering team, slow releases, growing test debt, stalled features and years of legacy code. We rebuilt software delivery around a small AI-native pod.

14
→
6
People required to run engineering
$1M+
Engineering costs saved
Weekly
Release cycles
2X
Production rollouts
90%
Reduction in test coverage debt
Faster
Feature, data and AI agent rollouts

The 90-Day AI SDLC Transformation

In 90 days, we rebuild your software delivery process around AI. We work directly with your engineering team across planning, coding, review, testing, QA and release, with one measurable goal: ship more software with fewer engineering hours.

01 / BASELINE

Measure where the time and money go.

We baseline team capacity, cycle time, release frequency, QA effort, rework and cost before changing the process.

02 / REDESIGN

Find the work AI should take over.

We trace work from requirement to production and identify what engineers should keep doing, what AI can accelerate and what agents can handle.

03 / IMPLEMENT

Put the new SDLC into production.

We implement the workflows across planning, development, review, testing, QA, documentation and deployment, using your codebase, standards and engineering practices.

04 / PROVE

Measure what changed.

At the end of 90 days, we compare output, cost, capacity and time-to-market against the starting baseline.

50%+ more engineering productivity.
More software shipped per engineer, with lower delivery cost and shorter release cycles.

This will work for you if:

  • You can’t show measurable ROI from Copilot, Claude or Codex.
  • Engineering costs haven’t come down.
  • Developers may be coding faster, but releases aren’t materially faster.
  • Your roadmap still needs more people to deliver.
  • QA and testing are struggling to keep up.
  • Legacy code and tribal knowledge are limiting what AI can do.
  • You need to cut engineering spend without cutting the roadmap.

Find out where your engineering team can get 50%+ more productive with AI.

Tell us about your team and current delivery process. We'll quickly tell you whether we see enough room for a 50%+ productivity gain to justify the engagement.

For engineering leaders actively looking to reduce delivery cost, increase capacity or shorten release cycles.

Thanks. We’ll be in touch.

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