Decades of judgment, exceptions, and the unwritten parts of the work, held by experienced specialists.
Automated onboarding of expert intelligence
From a person's expertise to the platform's workflow — without the knowledge walking out the door.
Computer vision observes the real work on the expert's desktop — the steps, decisions, and handoffs.
That understanding is encoded in the platform — agents building agents translate it into workflow logic.
The end-to-end workflow runs on the platform, connected to the systems and rules the process depends on.
Human-reviewed and carried forward, so the organization keeps what its people know when they retire.
From observation to continuity
The expertise on a desktop should not leave when its owner does.
A 55-year-old specialist can hold decades of hard-won judgment. Loresse's approach brings what they do, and why they do it, into the workflow so the organization can continue to learn from it.

Observe the work
With the client's permission, computer vision follows the on-screen steps, decisions, and handoffs on the expert's desktop.
Learn the judgment
The expert explains the exceptions, context, and reasoning that a screen recording alone cannot reveal.
Agents build agents
That understanding informs specialized agents and an end-to-end workflow, refined with the expert rather than replacing their voice.
Retain the know-how
The reviewed workflow carries the expert's decisions and institutional context forward for the next generation of the organization.
The result is not a copy of a person. It is a human-reviewed way to preserve their knowledge in the organization's work, with oversight where decisions matter.
Why it matters
The difference is in the details people remember.
A workflow informed by the people who own it can reflect more than a generic process diagram. That matters when decisions depend on context and when experienced people may not always be there to explain it.
