Define what the form actually promises

Start with the words a customer sees after submitting the form. Does the business promise a confirmed appointment, an availability check, or a callback? Make that distinction explicit before designing the automation. A request for Tuesday morning should not become a confirmed booking unless the workflow actually checks capacity and establishes the appointment.

Choose a concrete completion point. For a callback flow, that might be a request assigned to the office queue with a response deadline. For direct booking, it might include an accepted time window and the correct service location. Name the person responsible for either outcome.

Draw the handoffs around real records

Map the journey as submission, validation, customer matching, property selection, work request creation, scheduling review, and dispatch acknowledgment. Adapt those steps to the business rather than assuming every platform uses the same record types. Alongside each step, record its input, output, responsible person, and failure path.

Check the exact fields and relationships available through the selected connector or API. Available endpoints may cover only part of the product. Some connector actions also make record-selection assumptions, such as choosing a customer’s first property. Verify those behaviors against your workflow before promising an automatic handoff.

Reference: API coverage and custom integration requirements · Connector actions and record-selection limitations

Decide which system owns each value

Create a small field map for contact details, service address, service type, preferred window, source, and request notes. Specify required values, acceptable formats, and how the integration handles missing information. Separate a customer’s preference from an appointment that the office has confirmed.

Define matching rules with the office team. An email address or phone number can help locate an existing customer, but shared contact details and multiple properties need explicit handling. Route ambiguous matches for review instead of silently attaching work to a plausible record.

  • Keep the original submission reference available for tracing the handoff.
  • Preserve the selected service location through every step.
  • Define which system wins when existing details differ from the submission.

Make exceptions visible to the office

List the conditions that require a person: an unsupported service area, missing address, unclear customer match, unavailable time window, or rejected record creation. Give each exception an owner and an agreed response target. The office should see what needs attention and what action is safe to take.

Use the least customer information necessary in alerts. Before retaining submissions, screenshots, or diagnostic payloads, confirm the vendor’s storage and retention rules and the business’s own requirements. A trace reference, stage, timestamp, and brief error description may be enough; avoid copying entire customer records into notifications.

Verify the handoff through dispatch

Test a new customer, an existing customer with several properties, an incomplete submission, and a repeated submission. Then interrupt one transfer deliberately in the agreed test environment. Check whether the office can identify the affected request, correct it, and continue without creating a second work item.

Acceptance should include an office user finding the request in the right queue and confirming that the next action is clear. Compare a small sample of source submissions with destination records after launch, within permitted data access and retention rules. Resolve missing or duplicated handoffs before expanding the workflow.

These are planning and operating guidelines. Confirm the current capabilities and applicable terms for the accounts, data, and workflow in your project.
See how we structure client-owned integrations →