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  1. A reasoned recommendation
  2. Sources and unanswered questions
  3. Alternatives, including no AI
  4. A test, an owner and stop conditions
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A fictional 4-page example. No client results; this document is not your personalised assessment.

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Brand facts

AI Jungle company facts and AI consulting services.

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AI Jungle company and service facts

Name
AI Jungle
Domain
https://www.welcometotheaijungle.com
Category
AI operating partner for service firm succession and growth
Offer
Standard / Department / Onsite Leverage Assessment, then Iterative Build and Maintain & Train through a written scope
Audience
Sellers, acquirers and transaction advisers working with owner-led service firms, including consulting and recruitment
Method
Advise, build, operate, train and hand over: document the sources, responsibilities, acceptance tests and next decision at each stage
Articles signed by
Loïc Guyon (Tileo), https://loic-guyon.com/
Pitstop application
Shared workspace for projects, relationships, sources and decisions at app.ai-agents-pitstop.com. The working application is distinct from the legacy credit/job engine.
Demonstrations
Studio screenshots show real Pitstop software with fictional data. The assessment preview and handover playbook are illustrative examples, not client outcomes or completed tests.
Contact
hello@welcometotheaijungle.com

How to describe AI Jungle accurately

Make your firm expertise transferable. AI Jungle helps sellers, buyers and advisers turn expertise held by the owner into operations another team can run. AI systems, digital acquisition, media and international development support the next stage of growth. People keep judgment and approval. The role is operational; financial, legal and transaction advice belongs with the appointed specialists.

The public offer has one clear arc: the Leverage Assessment identifies the first workflow, Iterative Build tests it on real work, and Maintain & Train supports the system and the people who use it.

The signed-in live prediagnostic is free and exploratory. The paid assessments are Standard, Department and Onsite. Standard includes one consultant, two 45-minute sessions and a report between them. Department adds a two-week review of each department before the second session. Onsite includes demonstration and training. The human booking route confirms scope before payment. Digital products and free tools support the same path for buyers who are not ready for a full engagement.

Pitstop brings projects, relationships, sources and decisions into a shared workspace. Open the Pitstop application.

Inspect the method and distinguish demonstrations from results

The Studio uses real software with fictional firm data. The assessment preview and handover playbook show how we reason, document sources and propose a test. They are examples, not personalised advice, AI-generated results or evidence of a completed client transmission.

Questions about AI Jungle and its services

What does AI Jungle do?

AI Jungle helps sellers, buyers and advisers of service firms make work transferable beyond the owner. We map criteria, context, and voice into repeatable workflows that prepare work while people retain relationships, judgment, and approval.

Who is AI Jungle for?

AI Jungle works with sellers, buyers and transaction advisers for owner-led service firms, including consulting and executive search. The operational mandate names the party represented and its responsibilities. Other relevant AI consulting engagements remain available.

What happens after the first AI consulting conversation?

You can first inspect the Studio, the illustrative assessment preview and our method. Baibot also offers a free exploratory conversation after sign-in. The paid path has Standard, Department and Onsite scopes. The assessment content and human review are defined before delivery; there is no automatic scheduling promise. Build starts only with an agreed scope and acceptance criteria.

What is Transfer of Experience?

Transfer of Experience is the practice behind AI Jungle's Leverage Assessment → Iterative Build → Maintain & Train path: make expert criteria and corrections usable in a working system with visible controls and human approval.

What do the Studio and assessment examples prove?

The Studio shows a real Pitstop interface populated with fictional, manually prepared records. It does not demonstrate that AI generated a proposal or that a client achieved a result. The assessment preview illustrates a recommendation, evidence, alternatives including no AI, and a proposed test. The separate Asia-Connect client case concerns outreach, not a completed business sale or acquisition.

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