The AI interviewer that finds where the revenue is actually leaking today.

When you've committed to an AI rollout and need to show some ROI, Workstuff speaks to the people on the ground, so your first agents are focused on problems worth solving.

Book a demo →See how it works

Trusted by global engineering companies, training firms, and consultancies.

What we hear from AI automation leaders

“We're automating a process before we know how it really runs.”

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There's a date on the wall for the first agents, and I need to know how 200 reps actually run their deals and where the pipeline leaks before we build any of it. Not the playbook version, the real one. There's one of me, and the calendars alone would take a quarter.
Revenue operations director, enterprise software

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We sent a survey before automating campaign production. A fifth replied, in tick boxes. I can tell you exactly how many people touch a campaign. I still can't tell you what any of them do when the brief changes halfway through, or what all that rework is costing us.
Marketing operations lead, consumer brands

The solution

An AI interviewer that maps the process, the exceptions, and how decisions really get made today.

Send a link. 100 people talk through how the work really gets done, and the AI probes for detail.
Your questions guide the interviews. Workstuff reconciles every account into one version, and flags where they clash.
When the build team asks how the process runs, you have the answer, with a name attached.

An AI-led interview running on a phone, by voice or text

100 people interviewed in 6 days. No meetings booked.

100People interviewed

6 daysTo a full library

Every answerTraced to who said it

Build-readyA spec, not a slide deck

See which processes are actually ready.

Turn the interviews into a scored view of every process: documented steps, an owner for every decision, a known list of exceptions. You know which one to automate first, and which one will bite you.

Process health scored across steps, decisions, exceptions and readiness to automate

And how the work actually gets done.

Not one person's version. Every account of the same process, reconciled into one map. Where people agreed, it is settled. Where they did not, you see both versions rather than the loudest one.

A current-state process map with numbered steps, a loop and a revenue leak

Process steps

What actually happens, in order, including the step that never made it into the SOP.

Decisions

Who decides, on what basis, and who they go and ask when they aren't sure.

Exceptions

The cases that don't follow the rule. The ones that break an agent on its first day.

Pains

Where the work is slow, done twice, or quietly hated by everyone doing it.

Ideas

What the people doing the job would fix first, which nobody has ever asked them.

The difference

The same process, two very different builds.

Build from an SOP somebody wrote two years ago

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Build from what the people doing the job said last week

Discovery quality depends on which analyst you can spare

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Your best analyst's method in every conversation, whoever runs it

Debrief after every workshop and hope the notes are good

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Every conversation comes back structured: the steps, the decisions, the exceptions

Ship the agent and find the edge cases in production

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Know the exceptions before anyone writes a line of it

Send a survey, get a 20% response rate, get charts

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Send a link, get 80% completion, get the story behind the numbers

Every process starts from scratch

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Every process builds on the library you already have

Your agents are only as good as what you know about the work.

Book a demo and we'll walk you through a real capture: the steps, the decisions, and the exceptions that would have broken the build.

Book a demo →