Enterprise AI
Design AI around the systems you already run.
Enterprise AI work is mostly integration, governance and workflow design wearing an AI hat. We treat those as first-class engineering constraints.
01
The problem
Useful enterprise AI must work with existing data, permissions, systems, owners and compliance requirements.
Teams modernising knowledge work, decision support or operations across existing enterprise systems.
Typical outputs
Concrete artefacts, shaped around the workflow.
01Use-case prioritisation
02Data and systems mapping
03Architecture and governance design
04Pilot-to-production implementation plan
05Evaluation and observability design
How BigDoor works
Discover → Quantify → Design → Deploy → Evaluate → Adopt → Compound
The exact architecture follows the use case, existing systems, risk constraints and evaluation requirements. The sequence exists to keep the technical system attached to an operating outcome.
Read the deployment methodologyStart with the workflow
What are you trying to deploy?
Bring the current process, systems, users and constraints.
Discuss it with BigDoor