The goal of discovery
A workflow automation discovery call should clarify the job the process is supposed to do, where the current work breaks down, and what kind of solution is actually justified.
The best outcome is not always a custom build. Sometimes the right first step is simplifying the process, standardizing inputs, connecting two existing tools, or creating a small pilot before a bigger system is scoped.
Five things worth bringing
A plain-language workflow summary
Describe what the process does, who uses it, what starts it, and what should be true when it is finished. A rough explanation is enough.
Real examples of inputs and outputs
Bring sample forms, emails, spreadsheets, PDFs, reports, screenshots, or records that show what information comes in and what the team needs to produce.
The systems involved
List the tools that touch the workflow: inboxes, spreadsheets, CRMs, calendars, payment tools, databases, websites, shared folders, or internal apps.
The exceptions that slow people down
Note missing data, duplicate records, special approvals, manual overrides, urgent requests, cancellations, and cases where the normal path breaks.
A useful definition of success
Decide what improvement would matter: fewer handoffs, faster turnaround, fewer errors, better status visibility, cleaner data, or less repeated typing.
What to avoid
Do not start with a tool requirement
It is fine to mention tools you prefer, but the workflow should drive the technology choice. Sometimes a checklist, form cleanup, or lightweight automation is better than a larger build.
Do not hide messy edge cases
Exceptions are where automation projects succeed or fail. Bring the awkward cases early so the solution can be scoped honestly.
Do not expect a firm quote from vague inputs
Reliable pricing depends on systems, data quality, integrations, review steps, ownership, and support needs. Discovery should reduce uncertainty before a fixed build quote.
What you should expect to leave with
A good discovery conversation should make the next step smaller and clearer. It should expose unknowns, identify real constraints, and avoid turning a vague process complaint into an oversized software project.
- A clearer workflow map
- A short list of automation opportunities
- A recommendation for cleanup, no-code automation, custom software, or AI-assisted workflow support
- A smaller first step that can prove value before a larger project
Common questions
Do I need a workflow diagram before a discovery call?
No. A rough walkthrough and real examples are usually enough. The discovery process can help turn that into a clearer workflow map.
Can a discovery call cover AI automation?
Yes. AI can be discussed when the workflow includes drafting, summarizing, extracting, routing, classification, or review support. The call should also identify where human approval needs to stay in the process.
Will discovery result in a quote?
It can, if the workflow and scope are clear enough. If too many details are unknown, the better next step may be a focused workflow audit or prototype before quoting a full implementation.