AI Jungle Studio
Keep the expertise.
Even when the person leaves.
Your firm is also worth what another team can carry forward. We turn the habits of a few people into work that can be documented, shared and checked.
Inside the product / 01
An example firm, inside the real software.
In Pitstop, Nora prepares to hand proposal work over to Malik. Explore the screenshots from this demonstration workspace. The interface is shown in French.
Every task has an owner. Every handoff, a decision.
The board separates work to prepare, work in progress and work awaiting review. Here, Malik takes over a proposal; Nora keeps responsibility for exceptions.
To test: can Malik move forward with the available sources, without asking Nora at every step?
These screenshots show how work is organised. They are neither a client result nor a demonstration of automatic AI generation.
From system to handover / 02
The tool matters. The handover has to work.
We start with one process that gets stuck: proposals, assignment preparation or client follow-up. AI helps where it is useful; decisions retain an owner.
- 01
Frame
Name the dependency, observe the work and choose what must succeed without the key person.
- 02
Build
Connect sources, document exceptions and prepare the workflow and reviews.
- 03
Test
Have another person do the work. Record interruptions, errors and corrections.
- 04
Hand over
Deliver the agreed materials, clarify access and name who maintains the system.
Human responsibility
Build with the people who will use it.
AI Jungle founder Loïc Guyon leads this approach. Each engagement defines its scope, accountable consultant and client reviews before work begins.
Pitstop is the workspace shown here. Pitstop has its own site for teams that want to operate their environment. AI Jungle consulting covers the scoping, building and follow-through agreed for each engagement.
Explore Pitstop ↗The first piece of work
What stops when you step away?
Start with that process. Build from what the work needs.