Does every automation need AI?
No. A fixed rule or conventional integration may be the more appropriate choice for a predictable task. AI-related work should have a specific purpose, a suitable input and a way to review the output where mistakes matter.
Can you connect our existing business tools?
Potential connections depend on available APIs, permissions and the systems involved. Share the tools and data flow in the enquiry. Compatibility and any external-provider requirements need to be confirmed during scoping.
Will this replace human review?
That depends on the task and risk. Processes involving customer commitments or important records may need explicit approval before an action. The project should define review points and exception ownership rather than promise complete autonomy.
How do we choose a first task to automate?
Document the trigger, source information and expected outcome for one process. A narrow, well-understood task gives the project a clearer basis for feasibility, testing and acceptance than an open-ended request to automate everything.
What examples help test an automated workflow?
Use examples of ordinary work, missing information and unusual requests to evaluate the proposed flow. Testing should show what happens when a step cannot complete as well as when the expected input arrives.