What this covers
An AI integration project gives an AI tool a defined role inside a real business process. That can mean reading incoming documents, drafting replies, classifying requests or preparing data for another system. The work covers the connection itself and everything around it: which data the tool may see, where its output goes and who approves the result.
Where it helps
- Documents and emails arrive in volume and someone retypes the same fields every day.
- Requests need to be sorted, summarised or routed before anyone can act on them.
- Your team drafts similar answers or reports from information that already exists in your systems.
- You have tried an AI tool on its own, but it is not connected to the software your team actually works in.
What you receive
- An agreed description of the task the AI performs, its inputs and its limits.
- The configured connection between the AI tool and your business software.
- Review and approval steps where an output affects records, payments or customers.
- Access settings, so the tool only works with the data the task needs.
- Testing with realistic examples, including cases the tool should not handle on its own.
- Documentation of how the workflow runs and how to change it.
Good to know
The right tool depends on the task, your data and your existing software. We start with the requirement, not with a product. Where a process is not suitable for AI assistance, we say so and suggest a simpler route, such as rule-based workflow automation.