Every transformation project has a few months to land, and the knowledge it runs on sits in people's heads. Four kinds of project, four people who run them. Pick yours.
Get the undocumented logic out of the legacy system and into the target model, before it costs you a phase gate.
A parcel group rolling out one finance model across 30 country business units, with the consultancy leading the programme. Instead of flying consultants to every country, Clara interviews finance and IT directly, in their own language, into one live knowledge base.
Capture a client's context in days, let Clara keep it current, and deploy agents that match how they actually work.
A frontier model lab's forward deployed team, with a queue of enterprise clients and a few weeks per engagement to learn how each one really works. The client's context is captured in days, turned into agents that match how the business actually operates, and Clara keeps curating it after the team moves on.
Map the process as it is actually run, across every site, by interviewing hundreds of people in parallel.
A network of sites that each run the same process a little differently. Hundreds of operators interviewed in parallel, in their own language. The variants are kept and flagged instead of averaged, and every finding traces back to who said it.
Get the judgment out of the people who hold it, while they are still there to be asked.
An industrial leader with fifteen key people, a tenth of the workforce, retiring within two years and carrying end-of-line strategies nobody wrote down. Captured, mapped end to end, then reinvented with AI.
Clara adapts to any transformation project: her skills, her interview guides and the artifacts she produces are shaped to your methodology, not the other way round.
Three things every programme lead feels within the first weeks.
Discovery in days, not quarters.
Every claim traces back to who said it and when.
One knowledge store, portable, continuously maintained.
The same project, seen from the person who has to understand how the work is really done today. Row by row, what changes.
| How it works today | With Clarifeye | |
|---|---|---|
| Understanding how the work is done today | Three to six months of workshops, with a few people in a room | A few weeks. Clara interviews everyone at the same time and only asks what is still unknown. |
| Who gets asked | Whoever had time to attend the workshop | Everyone who actually does the work, each on the part only they know. |
| Differences between sites and teams | Flattened into one standard process | Recorded and flagged, site by site, so nothing is lost. |
| The exceptions nobody wrote down | Discovered late, during testing, as bugs | Discovered early, during the interviews, and written up as step-by-step instructions. |
| Your process documentation | Slides and spreadsheets, already out of date by go-live | One living knowledge base, updated as answers come in. Each statement is linked to the person who said it. |
| The next project | Starts from zero, with the same discovery all over again | Starts from what you already captured. |
| After go-live | The knowledge leaves with the consultants | The knowledge stays with you. Your teams and your AI tools can ask it questions. |
Tell us about the project you are running. In thirty minutes we will show you what Clara would capture first, and what your team gets back.