Start with the work.
Automation works best when the inputs, decisions and exceptions are understood. We help map what happens today, identify a worthwhile starting point, and build the steps that can run consistently. AI assistance can be useful for unstructured content, while approvals, prices and other business rules should remain explicit.
What a project can cover
- Map the trigger, source data, decisions, destinations and exceptions.
- Identify which tools have suitable integrations and what access is required.
- Build one agreed workflow with validation and duplicate prevention.
- Keep human review for uncertain outputs and consequential actions.
- Test normal inputs, missing information, repeated events and service failures.
AN ILLUSTRATIVE STARTING POINT
Example scope: inquiry to review queue
A service inquiry arrives with a name, contact details and a description. A workflow could validate the fields, organize the request, flag missing information, and prepare a draft follow-up for a person to approve. It should avoid creating duplicate records when an event is retried. This is an illustrative workflow; it does not imply that a specific CRM or email integration is already connected.
Know what success looks like.
Choose a small set of representative examples and a baseline for the current manual process. The delivered workflow should produce the agreed output, expose exceptions and provide a clear way to retry or take over manually. Estimate running costs before turning on services that charge per task, message or model request.
Bring these questions to the brief.
- Which task repeats, and how often does it happen?
- Where does the information start, and where should it end up?
- What mistakes or exceptions occur today?
- Which actions require your approval, and who will maintain the workflow?
Planning with a colleague? Use the free project-scoping worksheet to agree on the first useful release.