Fixed-fee strategy sprint
AI agent strategy for teams that need a real first move
If your team knows AI matters but does not want to waste months exploring low-value ideas, this is the sprint I use to choose the right workflow, define the trust boundary, and turn the discussion into a buildable plan.
What you leave with
- A scored list of candidate workflows by value, risk, and implementation complexity
- A recommendation for the best first pilot with clear success criteria
- A trust-boundary map covering what the system can observe, prepare, recommend, or trigger
- A rough architecture direction for context, tools, review, and rollout
- A practical next-step plan with build scope and sequencing guidance
This is for you if
You're a founder deciding where AI can actually move the business.
You're a CTO who wants clear guardrails before implementation starts.
You're an agency owner packaging AI work and need the sales promise to connect to a realistic delivery path.
Price
€1,500
Fixed-fee sprint. Best starting point before committing to a bigger build.
What makes a workflow strategy-worthy
The workflow already exists and somebody owns it.
The team already feels the drag often enough to care.
A human can judge output quality quickly.
The system can improve preparation, drafting, classification, or recommendation before it tries to act autonomously.
What I try to keep clients away from
Random chatbot ideas with no operational owner
Innovation theater slides with no implementation path
Blind automation of sensitive workflows without review steps
Related reading
AI Agent Strategy for CTOs
A practical framework for narrowing the first workflow and defining trust boundaries.
Read more →
AI Agent Implementation Process
How the strategy turns into a build, rollout, and iteration loop.
Read more →
Internal AI agent examples
Concrete examples of workflow systems that make strong first bets.
Read more →
Not sure which workflow to start with?
Send me your rough use cases, current bottlenecks, and where humans need to stay in the loop. I'll tell you whether it sounds like a strategy sprint, an internal build, or an AI product feature.