AI Pilot Partnership
“How do we prove this with one team?” A proof point your org can rally behind.
We embed with one product team to ship real outcomes the AI-enabled way — creating the evidence and the internal story that unlocks org-wide investment.
What your team will do
Ship something real, the new way.
- Pick a high-signal product bet to run end-to-end
- Operate discovery-to-delivery with AI embedded
- Instrument outcomes so the result is undeniable
- Document the playbook for the next team
Where the work lands
In a live, shipping product team.
- Embedded operators inside the pilot team
- Real work in your tools and codebase
- Outcome metrics tracked from day one
- Exec readouts at the key milestones
What you leave with
Evidence, and a repeatable model.
- A shipped outcome with measured impact
- A proven, documented operating model
- An internal case study for funding the rollout
- A trained team to seed the next wave
Inside your stack, not alongside it.
The work lands in the tools your team already uses — operated and owned by your people.
Example engagement plan for an AI pilot program.
One pilot team. Real product work. A playbook for the rest of the org.
Workstream 01
The pilot team
Kickoff
Wk 1
Discovery sprint
Wks 2–3
Workflow co-design
Wks 4–5
Live pilot cycle on real product work
Wks 6–9
Team retro & impact review
Wks 10–11
Workstream 02
Tools, artifacts & playbook
Stack audit + baseline
Wks 1–2
Tools & prompts configured
Wks 3–5
Live iteration of prompts & workflows
Wks 6–9
Impact measurement
Wks 10–11
Playbook + readout
Wk 12
Timeline
Example
Diagnose
Onboarding & discovery
Map where the team is today
Weeks 3–5
Design & configure
Build the new ways of working
Weeks 6–9
Live pilot cycle
Run the new model on real work
Weeks 10–12
Measure & handover
Quantify impact, hand back
Is this the right next step for your team?
Book a 30-minute discovery call and we'll tell you honestly whether AI Pilot Partnership is the right fit — or which rung is.