Every step links to its source
Open any step and land on the speaker and the moment in the interview or recording it came from.
Workflow research agent
Get every process documented, straight from the people who run it
Hinto interviews the team and reads the calls and screen shares that already exist. Every workflow goes into an adaptive ontology: the steps, roles and systems, and how they connect, updated as the work changes. People learn from it. AI agents run on it.
From conversations to an ontology your team and agents use
Hinto's interview agent talks to everyone who touches a workflow, all at the same time, and reads the calls and screen shares that already exist. What they say becomes an ontology that updates as the work changes.
Automated interviews
- HintoPerson 1
- HintoPerson 2
- HintoPerson 3
- HintoPerson 4
- HintoPerson 5
- HintoPerson 6
Workflow ontology
Sales
Operations
Finance
People
What it powers
Teams
- Onboarding
- Training
- SOPs
AI agents
- Instructions
- Harness
Key decisions
- What to automate
- Org restructure
- Mergers and acquisitions
Use cases
The ontology answers the questions leaders have to decide on, and gives AI agents the process to follow.
Key decisions
What to automate
See which steps are repeatable and rule-based, from how the work really runs, not how the SOP says it does.
Org restructure
See the real load, handoffs and single points of failure before you move people.
Mergers and acquisitions
Know how the target actually runs, and which of two ways of working to keep.
AI agents
Instructions
Agents follow the same steps your best people follow, written from the source.
Harness
The context, rules and limits an agent runs inside, kept current as the work changes.
Teams
Onboarding
New hires learn the process that actually runs, not the one on paper.
Training
Train on real walkthroughs from the people who do the work.
SOPs
Step-by-step guides written from the source, kept current as the work changes.
Why Hinto
Every other way to map work stops somewhere. Here is where, across the five things a map of how work gets done needs.
| People as source | Scales | Keeps up to date | Captures why | Traces to source | |
|---|---|---|---|---|---|
| Consultants and analystsInterviews, workshops | Yes | No | No | Yes | Partly |
| Process miningCelonis, UiPath, Skan, Soroco | No | Yes | Yes | No | Partly |
| WhiteboardsMiro, Lucid | Partly | No | No | Partly | No |
| Meeting toolsZoom, Otter, Fireflies, Granola | Partly | Yes | No | No | Partly |
| Step-guide toolsScribe, Guidde, Tango | Partly | No | No | No | Partly |
| HintoInterviews, screen and speech | Yes | Yes | Yes | Yes | Yes |
Why video, not just a transcript
A transcript only has the words. Hinto watches the call as well: what is on screen, what gets clicked, and where in the job each moment sits.
Screen
- Program library
- Search results
- Version table
- Upload dialog
Interaction
- Click Planning
- Type MDC01
- Click row 4
- Click Upload
Task step
- Open the library
- Find the program
- Compare versions
- Upload baseline
Speech
- "Here is the library"
- "Let me find MDC01"
- "Which one is latest?"
- "This one, from May"
Extracted workflow
Release a baseline
- 1Open the library16:40
- 2Find the program17:10
- 3Compare versions18:34
- 4Upload baseline19:12
Every line has a source
The risk with AI mapping your work is a confident answer nobody gave. So every step points back to the moment it came from, and you can open it and check.
Checked against the recording
What people say is checked against what the screen shows. When the two disagree, the recording wins and the difference is flagged.
Several people, compared
The same workflow is probed across several people. Where they disagree, the ontology keeps both versions and flags them.
Gaps stay gaps
When nobody can describe a step, it is marked as missing and Hinto goes back to ask. It is never filled in with a guess.
Who it's for
Three kinds of team that need to know how the work actually runs.
Leadership
CEOs, COOs and transformation leads
- Decide what to automate first
- Restructure with evidence, not opinion
- Integrate a business after an acquisition
Consulting firms
Transformation and operations consultancies
- Current-state assessments in weeks, not months
- AI readiness reviews for every client
- Due diligence on how the target really runs
AI and automation teams
Heads of AI and automation leads
- Give agents the real process to follow
- A harness built from the source
- Kept current as the work changes
Enterprise-grade security
Built to pass a security review: nothing watches people in the background, and nothing trains a model.
Nothing runs in the background
No desktop agent, no background capture and no continuous observation. People take part in interviews and share recordings they start themselves.
We map the process, not the person
Maps describe steps, systems and handoffs. There is no per-person score, ranking or productivity metric in the product.
Nothing trains a model
Customer content is used to produce your result and nothing else. Uploaded files are deleted from the AI provider within two hours, and its terms exclude training on submitted content.
Private deployment
Where a security review demands it, an engagement can be shaped around your model providers, your regions and on-premise processing. Tell us what your review requires and we will scope it.
Access follows project roles
Owner, editor and viewer. Every access is written to an append-only audit log the workspace owner can filter and export.
Hard delete
Deleting content removes the record and its files. Account deletion on request, and audited.
Other features
Questions we get asked
A workflow ontology is one connected picture of how work runs in your company: the workflows, the steps inside them, who does each step, which tools they use, and how it all links together. Hinto builds it from interviews and recordings, then keeps it current as the work changes.
Start with one workflow
Pick a workflow that matters. Hinto maps it from the people who run it, and you judge the result before anything else.