02 / Services
AI integration for products and workflows
I integrate AI where it improves a real task, connecting it to existing data, rules and workflows.
Explore the capability →01 / The problem
Problems
- Knowledge exists, but it is scattered across documents, databases and systems that are difficult to query.
- A task requires repeated analysis or decisions, but the output must remain verifiable and controllable.
- An AI prototype already exists, but it is not connected to the data, actions and rules of the real workflow.
02 / The solution
What
I define the task before choosing the model. I connect data and knowledge, AI, rules, actions and human oversight within the existing product or process, rather than adding an isolated chat interface.
What I build
- Knowledge retrieval and RAG systems connected to real sources.
- Domain assistants and agents with tools, rules, permissions and validation.
- AI functions embedded in products and workflows, with APIs, actions and human handoff where required.
03 / What you get
Deliverables
- 01
A working AI flow connected to real sources and actions.
- 02
Documented criteria, limits and failure cases.
- 03
Human control and a review path where decisions should not be autonomous.
05 / How I work
Process
- 01
Understand — Task, people, risk and expected outcome.
- 02
Structure — Data, context, permissions and validation criteria.
- 03
Build — Model, integrations, tools, actions and interface.
- 04
Validate — Real cases, errors, human control and improvement.
Project / Start
Have something that needs to become real?
Tell me the starting point: a problem, an idea, a process or a brand. You don’t need a perfect brief — just know what needs to change.