The method
Build a firm someone else can run.
A buyer can acquire a company without acquiring the way its founder gets things done. We help service firms turn that know-how into work a team can carry forward, before a sale, after an acquisition or simply to grow.
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.
Start where the work waits for you.
A proposal only you can price. A client relationship nobody can pick up. A follow-up that stops when a mandate starts. We observe one real process, separate repeatable work from expert judgment, and decide whether better documentation, a simpler tool or an AI system is the right intervention.
Make the method visible. Keep judgment accountable.
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.
Every stage leaves something the firm can use.
01
Advise
A decision brief
- AI Jungle
- A human consultant reviews the recommendation, evidence, alternatives and action plan. Unknowns stay visible.
- Your team
- Your process owner supplies authorised examples and names the decision to make.
- The decision
- Proceed, investigate a gap, or spend nothing yet.
02
Build
One tested process
- AI Jungle
- We configure the sources, rules, permissions and approval points, then test normal cases and exceptions.
- Your team
- Your reviewer checks the outputs against criteria agreed before the build.
- The decision
- Accept a bounded release, correct it, or keep the existing process.
03
Operate
A record of what happened
- AI Jungle
- In the managed engagement, we maintain the integrations and review outputs, incidents and corrections with your operator.
- Your team
- Your team retains business approvals and escalates missing or contradictory information.
- The decision
- Keep running, restrict an action, or suspend it while an exception is resolved.
04
Train
A team that can take over
- AI Jungle
- We explain the working method, rehearse exceptions and document how to correct or stop the process.
- Your team
- A named colleague runs a representative case and explains the decision back.
- The decision
- Confirm autonomy on that task or schedule the remaining practice.
05
Hand over
A defined handover pack
- AI Jungle
- We review the agreed documentation, configuration, data exports, access and outstanding issues with the receiving operator.
- Your team
- You name who takes responsibility and confirm the licences and access needed to continue.
- The decision
- Accept the handover, list remaining gaps, and choose the next operating arrangement.
Choose who will carry the work.
These are operating choices, not a ranking of suppliers. The right choice depends on who can own the process after the first delivery.
| Mode | Who runs it | When it fits | What to settle first |
|---|---|---|---|
| Keep the process manual | Your team | The work is rare, changing or mostly judgment. | Document the handover and the decision owner. An AI build may add no value. |
| Use software directly | Your team, with product support | You have an operator who can configure, review and maintain it. | Check the product’s permissions, export and licence terms. |
| Commission a defined build | Your team after the agreed handover | The process is stable and you can take over its operation. | Specify acceptance tests, documentation and the support boundary. |
| Choose a managed partnership | AI Jungle operates the agreed scope; your team approves business decisions | You need continuing maintenance, training and improvement. | Name the operator, reviewer, review cadence and contractual exit terms. |
The exit belongs in the first conversation.
Before starting, put the operating boundary in writing. The paid proposal or order form defines the scope and the rights attached to each deliverable.
- Access
- Name the accounts, source material and authorised people. Define which actions need approval and who can withdraw access.
- Stopping a process
- Define the stop conditions, the person who receives the exception and the manual fallback. A missing source or approval is a reason to stop and ask.
- Restitution
- List the documentation, data exports, configurations and operating records included in the handover, their formats and any open issues. Agree the receiving operator and the transfer of credentials separately.
- Rights and dependencies
- Specify ownership and usage rights in the agreement. Third-party software and licences keep their own terms; this is not an automatic transfer of every tool or component.
An assessment does not commit you to a Build or Partnership. Standard has no 12-month commitment.
Flash: Build is waived for a firm commitment of 12 months, with an exit at month 3 and two qualified introductions. Terms are confirmed in writing before signing.
The Pitstop Studio is an inspectable workspace demonstration with fictional data. Commercial self-serve plans and checkout are unpublished; a managed Agency scope is the route to discuss implementation.
AI Jungle · Capability brief
Make the firm’s know-how survive the handover.
Operational AI consulting for owner-led B2B service firms. Before a sale, after an acquisition and throughout growth.
The print view contains this brief only. You can save it as a PDF from your browser.
- For a seller
- Expose the work that depends on the owner. Document a priority process and test whether another person can carry it forward.
- For a buyer
- Examine operational continuity, identify unresolved dependencies and build a measured post-acquisition improvement plan.
- For an adviser
- Add an operational workstream to the transaction. Agree the mandate, authorised information and deliverables shared with each party.
What we can work on
Knowledge capture and handover · AI-supported proposals, preparation and follow-up · operating systems and team training · digital and media workflows · a scoped test for international development.
What the engagement makes explicit
Recommendation and alternatives; authorised sources; a bounded process; human review; acceptance and stop criteria; documentation and agreed handover. Each engagement selects the relevant scope.
Our role in a transaction
We support operational readiness and implementation. We do not promise a sale, a valuation uplift or a return on investment. Legal, tax, financial and transaction advice remains with the appointed professionals. Separate mandates and permissions are needed to work with different parties.
Inspect the work
The Asia-Connect case shows an operational deployment. The handover playbook is an illustrative example, not a completed client transaction.
Next step: choose one process, name its owner and examine a real example together.
welcometotheaijungle.com/method
Different ways to talk. The same standard of advice.
The free Baibot demonstration helps you explore your situation after sign-in. For the paid assessment, choose Standard, Department or Onsite through the human booking route. 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 adds on-site demonstration and training. Each route delivers a reasoned recommendation, alternatives and an action plan reviewed by a human consultant.
Questions about AI consulting and managed agents.
Will an agent ever send something to a client without me?
External messages, quotes and publications need the approval defined for the engagement. The reviewer can be a named member of your team: continuity should not depend on the founder approving everything. We define the permissions, exceptions and stop conditions before putting the process into service.
We tried AI tools. They didn't stick. Why would this?
We first examine why the previous attempt failed: unclear ownership, missing context, an unsuitable tool or too much change at once. We choose one process, test it with authorised examples and name the person who will run it. Documentation, a simpler tool or no new AI may be the right answer.
Why not just take the platform?
Choose the platform if your team can configure, review and operate it. Choose a managed partnership when you need the agreed build, continuing maintenance and training. Scope, responsibilities, acceptance criteria and commercial terms are written down. New workflows follow a demonstrated need, not a quota.
How does the revenue share work? Do you look at our books?
The 5% share applies only to revenue above the previous 12-month baseline; the baseline, cap and contract terms are written before signing. It is based on the firm’s overall growth, not only revenue attributed to AI. The measurement and supporting figures must be agreed and verifiable by both parties. Published tier rates and signing options are on the pricing page.
What if the AI workflow does not work?
The assessment delivers a reasoned recommendation, alternatives and an action plan reviewed by a human consultant. Before Build, we agree acceptance tests and stop conditions. If a test fails, we identify what needs correcting or keep the existing process. Handover, rights, licences and exit commitments follow the written agreement; ownership of every component is not automatic.
Who is behind AI Jungle?
AI Jungle combines human consulting with AI-supported implementation. A human consultant reviews the paid assessment; the engagement names the people responsible for delivery and approval. You can inspect the Asia-Connect case, our method and illustrative handover playbook before discussing a project.