Define the data flow
Identify the inputs, destinations, and business purpose of each step. Agree what information is needed, what can be excluded, and how exceptions are handled.
A useful automation needs clear boundaries: which data it uses, what it can change, and when a person must decide.
Discuss your requirementsThese are the design questions we work through with you. Project-specific controls, provider choices, ownership, and support responsibilities are agreed in the written scope.
Identify the inputs, destinations, and business purpose of each step. Agree what information is needed, what can be excluded, and how exceptions are handled.
Use scoped access where the tools support it. Clarify who owns each account, who can change a workflow, and how access is revoked at handover or project completion.
Identify the automation platform, AI provider, and connected apps before launch. Review the selected providers’ data handling, retention, and available settings against your requirements.
Include review points for uncertain AI outputs, important record changes, and sensitive communications. Define what can run automatically and what must wait for a person.
Test ordinary cases, missing data, failed connections, and duplicate inputs. Agree how failures are surfaced, who handles them, and how a workflow can be paused.
Agree the ownership of workflow source, configurations, credentials, documentation, and third-party accounts before work starts. The handover should explain how the system runs, how to stop it, and who supports it.
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Workflow demos are simulations. The calculator uses your inputs in the page and does not send them to an estimation service. Neither connects to your business apps or changes business records.
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Discuss access, review points, and handover before the build.