The AI Workflow Sprint · four weeks · one team

Fix one costly workflow in four weeks.

We baseline the problem, ship on your real systems, make the new workflow part of daily work and transfer the capability to your team. Not a workshop, not a deck — a measured operational result.

01The shape

Start

Baseline

We choose one costly workflow with the team and agree on the business metric before we build.

Week 1

Working system

We ship the first usable version on your real tools, data and constraints — not in a sandbox.

Weeks 2–3

Embedded adoption

We harden approvals, exceptions and daily use alongside the people who own the work.

By week four

Capability transferred

The system is run by your team, the result is measured and internal champions can extend it.

02Sprints that shipped

A deep-tech company Simulation post-processing fell from 2–3 hours to 5 minutes. The engineer used the reclaimed time to build more automation.
A B2B SaaS company Prospect research saved about two hours per BDR per day, while five disconnected tools became one working surface.
A fintech company The agency loop didn’t get faster. It disappeared. The full ad lifecycle moved in-house.

The output may be an internal agent, an automated workflow or a new operating layer. We choose the implementation after the metric and the work are understood.

See all measured work →

03What we need from you

  • One team with a real bottleneck — not a committee
  • Focused access in week one, then regular owner check-ins through week four
  • Your data and tools as they actually are — we build on the real thing
  • Everything stays in your environment — your code, your models, your data

04Start here

Bring the bottleneck.

A short conversation about the team and the workflow, and we’ll tell you straight whether a Sprint fits. If the right workflow is not clear yet, we will start with the Impact Diagnostic instead.