The method
Our AI consulting method, from assessment to team training.
We work with owner-led search, advisory, interim management and coaching firms. The first proven case is executive search: a relationship-led practice where judgment, context and approval matter at every step.
Commitment: a reasoned recommendation, alternatives and an action plan, reviewed by a human consultant.
AI assessment, workflow build, maintenance and training.
The Leverage Assessment identifies the first workflow. Iterative Build is the fixed-price Build engagement. Maintain & Train continues through the ongoing Partnership when that support is useful. Your judgment and client relationships remain yours.
AI Leverage Assessment
What you leave with
Find where senior time leaks, which relationship work stalls during mandates, and the first workflow worth changing. Leave with a prioritized map and a scoped next step.
Iterative Build for your AI workflow
What you leave with
Make your criteria, context and voice usable in one real workflow. Test drafts and handoffs together, correct them, and agree what is ready before expanding.
Maintain & Train: AI workflows and team support
What you leave with
Maintain integrations, review exceptions and teach the team how to operate and correct the system. Your know-how becomes shared operating capacity.
You approve the key steps. Your feedback shapes what comes next.
Choose a consulting workflow for AI support.
The owner’s method appears in qualification calls, candidate conversations, proposals and follow-up. We observe the real work, distinguish repeatable decisions from personal exceptions, and choose one workflow worth making easier.
How AI workflows use examples, rules and business context.
Examples show what good looks like. Rules make boundaries and approval criteria explicit. Context brings the client, relationship and source material into view. People review each result; corrections improve the operating method. This is a clearer working system, not automatic model fine-tuning.
The cadence for assessing, building and reviewing AI workflows.
2 weeks
Assess the AI workflow
Map the work, interview the people involved and choose the first opportunity.
30–45 days
Build the first AI workflow
Install one bounded workflow and test it against real examples.
Weekly
Improve AI workflow outputs
Review outputs, exceptions and corrections with the operator.
Monthly
Review the workflow results
Check usefulness, ownership and the next constraint to address.
Quarterly
Add the next AI workflow
Add another workflow only when the first one is trusted and the need is clear.
Choose a free AI prediagnostic or expert assessment.
The free assessment is a conversation with Baibot about your work, priorities and possible opportunities. The paid expert assessment is a two-week engagement with a human consultant: a validated diagnosis, ranked opportunities and a scoped recommendation for the first build.
Questions about AI consulting and managed agents.
Will an agent ever send something to a client without me?
No. Nothing ships without your yes. Every outbound message, quote and post holds in your approval queue; you approve, edit or reject in one tap. That rule is the spine of everything we build.
We tried AI tools. They didn't stick. Why would this?
Because the tools weren't the problem. The transfer was. Generic AI knows nothing about your clients, your pricing rules, your voice. We move those into the agents first, then your corrections keep training them. That's the difference between a tab you abandon and a system that compounds.
Why not just take the platform?
The platform gives you the tool. You operate it. The partnership gives you an outcome we're accountable for: custom agents, the growth engine, a new agent every quarter, and a performance share that only pays on results we can prove. Tool versus outcome: that's the whole ladder.
How does the revenue share work? Do you look at our books?
The growth share applies to revenue above your last 12 months, with the baseline and tier rate written into the contract. We use figures you already produce so you can verify the calculation. Published terms are on the pricing page.
What if the AI workflow does not work?
The assessment produces a reasoned recommendation, alternatives and an action plan, reviewed by a human consultant. Every install has a success gate in writing before we build. And everything is yours if you walk: agents, prompts, data. No lock-in, no hostages.
Who is behind AI Jungle?
The AI Jungle team: operators, not thought leaders. We publish what we run: our sites, our numbers, our ledger discipline. AI Jungle LLC, USA. Judge us by the fleet.