Agentic Workflow Sprint
In 2–4 weeks we design and build your first AI workflow or agent prototype running on a real process.
- Workflow spec and prototype
- Draft / Approve / Auto modes
- Before/after metrics and guardrails
- Decision: scale or kill
In 2–4 weeks I take one real process and test whether AI can turn it into a measurable workflow — with an owner, data, Draft/Approve/Auto modes and before/after metrics.
For founders, CTOs and product teams that want real change in delivery, support, sales ops or product.
They have a demo-to-process problem. People use ChatGPT. Teams test Copilot. The board has seen a few demos. But day-to-day work looks exactly like before.
AI only starts to matter when it changes one of four things:
from ticket to shipped faster than the team alone
the same work done cheaper, with less manual effort
better data, faster research, less guessing
a small team handling volume that used to need a department
In 2–4 weeks we design and build your first AI workflow or agent prototype running on a real process.
In 1–2 weeks we map your product, processes and data, then pick the AI use cases with the highest odds of real value.
I set up how your team works with coding agents: from ticket, through code and review, to shipping.
Regular strategic sparring for founders, CTOs and product leaders making decisions about AI, product and technology.

I’ve been building digital products since 1998. I co-created Nokaut and Morizon/Gratka — leading product and technology in companies that went from startup to public market and exit.
Today I build AI products and use agents in my daily workflow: an agent takes a ticket, writes code, another model reviews it, a human approves the decision. This is not a futuristic deck. It’s a way of working that already works.
No. I can train your team if needed, but the goal isn’t tool knowledge. The goal is changing a specific process, product or way of working.
Depends on scope. Most often I deliver a prototype, a workflow spec, a playbook and an implementation recommendation. On bigger projects I can join as an advisor/operator working with your team.
Sometimes, but not immediately and not everywhere. First we define the boundaries: Draft, Approve or Auto. The bigger the blast radius, the more control, logs and human approval.
Yes — if the project has an owner, a clear problem and room for a fast test. I’m a poor fit for a six-month slide process with no decision.
Usually with an AI Opportunity Map or an Agentic Workflow Sprint. The first gives you a decision, the second a working prototype.
Let’s book 30 minutes and see if it’s worth turning into a real workflow.