Delivery path
Four phases. Clear outputs. Structured dialogue in every phase — because AI adoption without genuine participation doesn't work.
3–5 days
We start not with recommendations but with structured dialogue. Using our own AI platform, we run surveys with employees and leadership — asynchronously, efficiently, honestly. What are the biggest pain points? What causes concern? This produces a prioritized use-case map and an initial business case light.
2–4 weeks
We build a clickable, testable prototype for the prioritized use case — using your data and processes. User feedback loops with real users are built in. At the end you have a solid decision basis: scale, adjust, or stop.
2–6 weeks
The prototype enters real deployment with structured accompaniment. We run ongoing feedback loops with users, address concerns directly, and conduct security and compliance reviews. Change support is built in — employees are guided, not blindsided.
ongoing
Broad rollout with dialogue formats for all stakeholders. We train teams, establish AI governance, and accompany cultural change — including the question 'Will AI replace my job?' which is addressed openly. The result: adoption that lasts.
Our own AI platform for structured dialogue is a built-in component of the process — in scoping, piloting, and rollout.
AI supports — humans decide. In every phase, your teams stay in control and maintain clear understanding of what is running.
We build solutions that work inside real workflows — not impressive demos that fail in practice.
Clear KPIs are defined in the Prototype Sprint. We measure what changes — and communicate honestly when something doesn't work.
Data privacy and security are not an afterthought. Access and data residency concepts are addressed and documented from Phase 1.
Quality assurance and governance are not end-of-project topics — they are built into every phase.
30 minutes. No sales pitch. An honest conversation.
Book intro call (30 min)