Transcript is an AI interviewer that talks with every employee and maps how work actually gets done. It is a form of AI process discovery: it captures the undocumented processes, workarounds and single points of failure that never reach your systems.

What is AI process discovery?

AI process discovery means using AI to uncover and map how a company's processes actually run, instead of relying on outdated documentation or top-down assumptions. Transcript does it by talking with the people who do the work every day.

How is Transcript different from process mining tools?

Process mining reads system event logs, so it only sees work that touches a system. Transcript interviews people, so it also captures the judgment calls, workarounds and handoffs that logs never show.

Are employee conversations private?

Yes. Managers never see individual conversations, only organization-level patterns, and this is enforced at the database layer. Conversations run on enterprise AI models that never train on your data, and everything stays in the EU.

An X-ray of your organization.

You can't optimize what you can't see, and most of how your company actually works is invisible from the top: it lives in your people's heads. Transcript talks with everyone, understands what they know, and shows you how work actually gets done.

Get early access Contact sales

Free for early-access companies. We onboard a handful at a time.

A Transcript conversation: an employee explains that order exceptions are triaged in a shared spreadsheet by one experienced colleague, and Transcript asks the follow-up about what happens when she is away — A real Transcript conversation. It hears the workaround, spots the single point of failure, and asks the follow-up a great interviewer would.

The problem

You can't optimize what you can't see.

The most valuable layer of your company is unwritten. It never touches a system, and it doesn't show up in any report.

The real process never touches a system.

Dashboards and event logs show transactions. The workarounds, judgment calls, and handoffs that actually move work forward live in people's heads, and most were never written down.

Surveys and wikis can't reach it.

Surveys measure how people feel. Wikis wait for someone to write. Neither captures what your people know: where the real process diverges from the official one, and why.

And it walks out the door.

When someone leaves, their replacement spends up to two years rebuilding what they knew. That knowledge was never the company's. It was theirs.

Why now

AI can only automate a process someone can describe.

Every company is deploying AI right now. The winners start by understanding the work itself.

95%

of enterprise AI pilots deliver no measurable P&L impact, and the failures are operational, not technical. (MIT, 2025)

No. 1

driver of AI's impact on earnings is workflow redesign. You can't redesign a workflow you've never seen. (McKinsey, 2025)

Transcript produces the description your AI transformation starts from: the real process, from the people who run it.

How it works

The depth of a great 1:1, at the scale of a survey.

Transcript talks with everyone.

A real conversation, typed or simply spoken, in any language. It asks the follow-up a great interviewer would, remembers everything, and picks up where it left off. People only share what they know with something that actually listens.
A fleet of agents goes to work.

After every conversation, agents map what was learned against a coverage model of the organization, so Transcript knows what it doesn't know yet. When two colleagues describe the same process differently, it notices, and asks. Every conversation makes the next one smarter.
Knowledge becomes deliverables.

Learnings each person can see and correct. Blueprints of how your processes really run. Opportunities where your own people already know the fix.

The first reaction

“How did it know to ask that?”

— everyone, after their first conversation

It feels like magic. It isn't: it's a coverage model that knows what it hasn't understood yet, cross-referencing between colleagues, and months of research into what makes a conversation feel worth having.

On the record

Every learning, visible and correctable.

Transcript writes down what it learned from each person, and they confirm or fix every line. The map is built only from knowledge your people have signed off on.

A learning card: 'Order exceptions are triaged in a shared spreadsheet before anything reaches the ERP', backed by a quote, with Looks right and Not quite buttons

The privacy boundary

People only open up when it's safe. So we made safety the architecture.

Coverage over time chart: organization-wide coverage climbing from 20% toward 40% over two weeks

Where the team is: progress bars showing how many people are at each coverage stage

What a leader sees · patterns and progress, never conversations

Managers never see conversations.

Not transcripts, not quotes, not summaries of individuals. They see organization-level patterns and progress, nothing else. This isn't a setting; it's enforced at the database layer.

Every person sees what Transcript learned from them.

And can challenge or correct any of it.

Your data trains no one.

Conversations run on enterprise AI models that never train on your data. Everything stays in the EU.

Enterprise-grade from day one.

SSO sign-in, isolated per-organization data, private networking end to end.

We built the privacy boundary before we built the dashboard. It's why people talk to Transcript like they talk to a trusted colleague.

Questions

What leaders ask about Transcript.

What is Transcript?: Transcript is an AI interviewer that talks with every employee and maps how work actually gets done. It is a form of AI process discovery: it captures the undocumented processes, workarounds and single points of failure that never reach your systems.
What is AI process discovery?: AI process discovery means using AI to uncover and map how a company's processes actually run, instead of relying on outdated documentation or top-down assumptions. Transcript does it by talking with the people who do the work every day.
How is Transcript different from process mining tools?: Process mining reads system event logs, so it only sees work that touches a system. Transcript interviews people, so it also captures the judgment calls, workarounds and handoffs that logs never show.
Are employee conversations private?: Yes. Managers never see individual conversations, only organization-level patterns, and this is enforced at the database layer. Conversations run on enterprise AI models that never train on your data, and everything stays in the EU.

See your company clearly.

We're onboarding early-access companies now: free, a handful at a time, working closely with each leadership team. If you're serious about optimizing your company, or putting AI to work in it, start by seeing how work actually gets done today.