No external team takes over after kickoff. No open-ended day rates. No final slide deck that disappears into a drawer.
On-site kickoff workshop, process analysis, stakeholder interviews, system and data review. We define the real problem together instead of building on assumptions.
MVP development in short sprints, real user feedback after each sprint, and close iteration with your internal team. You see progress, not slideware.
Stress tests, security review, compliance checks, data protection review and bias testing where relevant. We name risks clearly and show how to address them before launch.
Integration into your existing architecture, cloud or on-premise setup, monitoring, rollout and live handover with your team.
Technical documentation, team briefing, knowledge transfer and four weeks of post-launch support. Ongoing operations can transition into AI Scale & Operate.
Before go-live, we run a structured review across technical, legal, compliance and operational risk. The result is a written Red Flag report with concrete actions, not vague concerns.
Every phase ends with a concrete output: a prototype, a live component, or a real report backed by evidence.
No bait-and-switch, no junior handoff after kickoff. The people in the room are the people doing the work.
Packages have defined price, scope and delivery date. Scope changes are explicit and documented.
We work with AWS, Azure, Anthropic, OpenAI and open source depending on the use case, not on vendor incentives.
We stay technology-agnostic. These are the platforms and building blocks we use regularly in delivery.