The starting point
Automate one understood process with a clear exception and recovery path before connecting every tool.
Write down the current process
Choose a repeated task such as moving accepted enquiries into a work queue, importing a supplier price sheet or routing an approval. List the people, systems, inputs and outputs involved.
Record the exceptions as well as the ordinary path. A missing product code, duplicate submission or declined approval can change what should happen next. These cases belong in the scope.
Check the data before the integration
Decide which system owns each field and which direction updates should travel. Product names are often poor identifiers; use a stable ID or an agreed matching rule. Define what should happen when a record already exists.
Try the proposed mapping with a small representative sample, including missing and incorrect values. This reveals assumptions before a full import changes operational data.
- Source and destination for each field
- Stable record identifier
- Required values and validation rules
- Duplicate and conflicting update policy
- Sample data with ordinary and exceptional cases
Confirm supported access
Review available APIs, exports and permissions for the tools involved. Some integrations need a paid plan or provider approval. Do not assume that a dashboard action has a supported API equivalent.
Use the minimum access required and keep credentials on the server. Your proposal should state who owns the accounts and how access is removed or changed after handover.
Make failures visible and recoverable
A useful automation can tell an operator what failed and what to do next. Plan validation messages, bounded retries and a manual fallback. Repeating a request must not create duplicate orders or approvals.
For decisions needing judgement, route the result for review rather than silently committing it. AI drafting or classification may help a suitable process, but simple rules are often sufficient.
- Visible failure status
- Safe retry and duplicate prevention
- Manual correction or fallback
- Audit information appropriate to the workflow
- Owner for monitoring and maintenance
Measure the real result
Record the time and errors in the current process before launch. After launch, compare completed tasks, corrections and operator effort over a similar period. This gives a more useful result than a general promise that automation saves a fixed percentage.
BuildNerd can review the workflow, check integration feasibility and propose an internal tool or connected process. Send the current steps, systems and examples so discovery can produce a specific scope.
Turn the brief into a conversation.
Tell us about your users, required platforms, and what the first release needs to do.
Discuss your project