Many organisations begin AI adoption with a chatbot. The larger opportunity is to connect AI to the actual work being done across documents, systems, approvals and teams.
Detection comes first
An AI workflow can identify the type of request, extract key information, detect missing fields, classify documents and decide which process should start.
Then route and validate
Rules, confidence thresholds and human approval points can determine whether the system proceeds automatically or asks a team member to review the decision.
Finally, take action
Once validated, the workflow can update a CRM, create a record, send a message, produce a document, schedule the next task or trigger another application through an API.
Keep humans in control
Good automation is observable. Teams should be able to see why something happened, override it where necessary and measure the effect on turnaround time and quality.