An AI sprint that ends with your team running the workflow.
An AI sprint only counts if something ships: this one takes a single workflow from proof of concept to your team running it, in six weeks.
The failure mode this kills
Most AI projects die between the demo and the rollout. The build works, the room nods, and three months later nobody has touched it, because the process never changed and nobody was trained. The sprint exists to make that outcome impossible: it doesn't end at the demo, it ends when your team is running the workflow without us.
How the six weeks run
- Weeks 1 to 2: the roadmap. Which workflow, what changes, what we measure. The AI implementation roadmap gets agreed before anything gets built.
- Weeks 2 to 5: the build. Process redesigned, automation built inside your existing stack, tool-agnostic. No platform lock-in.
- Weeks 5 to 6: the handoff. SOPs written, team trained, results measured against the baseline we set in week one.
What ships
A working workflow your team runs. The SOPs that document it. The training that made it stick. And a measurement baseline with the before-and-after numbers, so the ROI conversation is arithmetic instead of vibes. Want to size the prize first? Run your numbers through the AI ROI calculator.
The 30/70 split in practice
The build is the easy 30%. Most of the six weeks goes to the 70%: redesigning the process around the automation, training the people who run it, and following through until the new way is the normal way. That allocation is why sprint workflows survive contact with month three.
The best sprints start with an AI audit, which picks the right workflow and credits toward the sprint. After the sprint, teams that want a next workflow every quarter roll into the fractional head of AI retainer.
FAQ
What is an AI proof of concept?
An AI proof of concept is a small build that tests whether AI can do a specific job in your business before you commit real budget. The usual version proves the technology works and skips whether the team will use it. Ours doesn't get to call itself proof until the team runs it.
How is an AI sprint different from a pilot program?
An AI pilot program tests a tool; an AI sprint ships a workflow. That means process redesigned, automation built, SOPs written, team trained, and ROI measured against a baseline. You end with something running.
Do we get an AI implementation roadmap or a working build?
An AI sprint delivers the roadmap first, then the working build. The sprint starts with the AI implementation roadmap (which workflow, what changes, how we'll measure it), and the rest of the six weeks builds it, documents it, and trains your team on it.
What does an AI sprint cost?
An AI sprint with us is a fixed fee, set at the scoping call, covering the workflow audit, the build, SOPs, training, and the measurement baseline. The fixed part matters: scope doesn't creep, and the discipline is the point.
What happens after the sprint?
Your team runs the workflow; it's theirs, documented and trained. From there, teams either run independently or roll into the Head of AI retainer for the next workflow.
Six weeks. One workflow. Shipped.
The scoping call picks the workflow, sets the fixed fee, and defines what measured success looks like before anything starts.