Operating model
Intake, prioritization, SLAs per request type, and a definition-of-done — so stakeholders always know where their request stands.
What we install
The system around the dashboards.
Standards & reusable assets
Measure libraries, template repositories, and review standards that cut standard-report development time in half.
AI-assisted delivery
AI tooling integrated into developer workflows — authoring, pipelines, documentation — with productivity gains measured, not assumed.
Team development
Mentoring, code review culture, and hiring support — leadership that leaves the team stronger than a consultant would.
0 → 5 days
delivery cycle — the target our own operating model is built to hit, tracked through a ticketed intake.
0+
reusable measures in a shared library — documentation over reinvention.
0 %
SLA compliance target — every request tracked, every stakeholder able to see status.
How a retainer runs
Diagnose. Install. Embed. Step back.
Diagnose
Two weeks inside your delivery flow: where requests stall, why rework happens, what stakeholders actually complain about.
Install
The operating model goes live — intake system, SLAs, standards, asset libraries — with your team, not around them.
Embed
Monthly cadence of reviews, mentoring, and measurement until the discipline is habit, not initiative.
Step back
The function runs itself; we stay fractional — a few days a month of steering, standards, and escalations.
You leave with
- A documented operating model your team runs without us in the room.
- Delivery metrics leadership can see — cycle times, SLA compliance, throughput.
- A stronger team — standards, review culture, and reusable assets that compound.
Start
Tell us where delivery hurts.
One short brief. A reply within two working days. NDAs welcome — expected, actually.