From ticket to shipped code
ticket → coding agent → AI review → human approval → shipped
time to first change · number of fixes · review time
Service · 01
Agentic Workflow Sprint
In 2–4 weeks we take one department and test whether AI can turn its work into measurable, repeatable workflows — with an owner, data, human-or-AI approval modes and before/after metrics.
Who it’s for: For teams that already have an AI demo, or suspect a specific process is ripe for automation.
Not training, not a capabilities demo: if the process has no owner, or AI can’t get the data, start with the Opportunity Map.
( 01 )
A demo is not an implementation.
A demo looks great on stage, but has no owner, metrics, data, integrations or risk control. The sprint turns it into a workflow that has all of that — or ends with an honest decision that it’s not worth it.
( 02 )
What you get
- Workflow spec: what the human does, what AI does, where approval sits
- A working prototype on real data
- Human-or-AI approval modes with autonomy boundaries
- Before/after metrics: time, cost, quality, scale
- Guardrails and control rules
- Decision: scale, improve or kill
( 03 )
How it runs
01Week 1Context and selection: process, owner, data, definition of a good result.
02Week 2Design and build: workflow spec and the first working version.
03Week 3Test on real cases: metrics, fixes, autonomy boundaries.
04Week 4Decision: before/after results and a recommendation — scale or kill.
( 04 )
What you need on your side
The sprint works if you have:
a single process owner
a process to test
data or examples of real cases
agreement to measure the effect
access to tools, or a team that can connect them
readiness for a post-sprint decision: scale or kill
( 05 )
What I commit to
The agreement is simple:
The Sprint is capped at 2–4 weeks — it doesn’t slide into an open-ended engagement.
A “kill” verdict is a legitimate, paid-for outcome — you’re buying evidence, not a flattering report.
The deliverable is not a deck. You get a working workflow and its numbers.
( 06 )
Three example sprints
Support & inbox triage
classification → priority → drafted reply → approval → send or escalate
first response time · cases handled · escalation rate
Natural-language search
plain-language query → interpretation → mapping to data → results & recommendations
usage · conversion · returns
( 07 )
Pricing
€9,000–16,000 net
- from €9,000 net, typically €11,000–16,000 — fixed scope and price set on the 15-minute call; projects with heavy integrations or multiple data sources are quoted separately
- the “kill” verdict is included: you pay for evidence, not a flattering report
- no retainer and no obligations after the sprint
As of: August 2026
( 08 )
Run your own numbers.
Conservative assumptions, math in the open: what manual handling of a process costs — and what happens when automation takes over part of it. Change the values to yours.
The math
how many times the Sprint pays back in 12 months
4.5× — how many times the Sprint pays back in 12 months- saving per month
- €6,000
- saving over 12 months
- €72,000
- Sprint price (top of the range)
- €16,000
- the Sprint price pays back after
- ~2.7 mo
An estimate built on the numbers you enter — not a promise. That’s why the Sprint ends with before/after metrics and a decision: scale, iterate or kill.
( 09 )
Before you book a call.
How long does the sprint take and what drives the price?
2–4 weeks and €9,000–16,000 net. Fixed scope and fixed price are set on the 15-minute call — typically €11,000–16,000. Projects with heavy integrations or several data sources are quoted separately, always before we start.
How is the sprint different from the AI Opportunity Map?
The map picks the process, the sprint changes it. The map runs 1–2 weeks at €4,500–8,000 net and ends with a decision and a plan of experiments. If you already know which process hurts most, skip the map and start with the sprint.
How much of my team’s time does it take?
I need one process owner available throughout, plus data or examples of real cases. The rest of the team joins at two points: describing the process and testing the prototype. Without an owner on your side, the sprint doesn’t work.
What exactly stays in the company after the sprint?
A workflow spec splitting the work between people and AI, a working prototype on your data, autonomy boundaries and control rules, before/after metrics — time, cost, quality, scale — and a decision: scale, improve or kill.
Does the sprint turn into a retainer?
No. The sprint is capped at 2–4 weeks and never drifts into an open-ended engagement — afterwards you owe me nothing. You can scale on your own, book another sprint, or take Advisory if you want a second pair of eyes.
( 10 )
What’s next
Handoff to your team, a scale plan, another sprint or ongoing advisory — depending on the result and the decision.