AI automation for the work your team repeats every day.

Start with the work, then choose the tool.

We map the process, its owner, inputs and exceptions. A useful starting point has a clear purpose, repeatable steps and a way to tell whether the change helped.

• Enquiry classification, routing and follow-up
• Moving approved information between business tools
• Preparing documents or summaries for review

Give routine questions a clear answer path.

A support assistant needs a defined set of questions and maintained business content. We scope when it can answer, what it should avoid and how the customer reaches a person.

• Answers grounded in approved business content
• A visible handoff for exceptions or uncertainty
• Review of unanswered questions and recurring gaps

Make company information easier to find.

A knowledge assistant can help staff search the documents they are allowed to use. The pilot should test both answer quality and whether the cited source actually supports the answer.

• An agreed document collection and content owner
• Source references and access boundaries
• A clear “I don’t know” path when information is missing

Work with the systems already in place.

Before promising an integration, we check available APIs, permissions, data quality and platform limits. The goal is a dependable flow with an owner for failures and maintenance.

• Defined source and destination for each data item
• Retries, duplicate handling and failure notifications
• Third-party subscriptions and usage costs identified