AI app for executives and strategy · no coding needed
Acquisition customer-overlap economics engine
Expose assumptions behind proposed commercial synergies.
Made for: Corporate development teams
What it does for you
The problem
Acquisition cases overestimate cross-selling opportunities.
What it gives you
Reviewed acquisition commercial opportunity model
What you give it
Authorized aggregated customer categoriesproduct compatibility
How it works, step by step
- Map evidence-backed overlaps
- Separate feasible bundles
- Model conservative conversion scenarios
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed acquisition commercial opportunity model with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Acquisition customer-overlap economics engine with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Acquisition customer-overlap economics engine with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links1 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare26 KB
- prompt-vps.mdThe same build on your own server (Docker)26 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data199 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Expose assumptions behind proposed commercial synergies
Confirm the buyer's problem and scope, collect authorized aggregated customer categories and product compatibility, then follow this sequence: 1. Map evidence-backed overlaps. 2. Separate feasible bundles. 3. Model conservative conversion scenarios. Resolve uncertain cases with qualified reviewers, approve reviewed acquisition commercial opportunity model, and measure realized incremental contribution minus integration and selling cost against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Aggregate or anonymized records; no unsupported merger or investment recommendations. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Show source dates and distinguish evidence from strategic assumptions. Keep sensitive company plans restricted to authorized participants. Aggregate or anonymized records; no unsupported merger or investment recommendations. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: Aggregate or anonymized records; no unsupported merger or investment recommendations. Implement one approved input format, a bounded representative case set and the first two task modules: map evidence-backed overlaps; separate feasible bundles. Support the third module with operator review: model conservative conversion scenarios. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Internal reports, public company information and decision registers. Read-only business data exports, reporting databases and task trackers. Reconcile source totals before scheduling recurring data refreshes. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Data and definitions, Pattern investigation, Action and value review. Open with a compact overview and filters for the relevant period or segment. Let users drill from each theme or metric into underlying records. Keep source definitions and missing-data notes near the result. Use an action panel to assign investigations and record what was learned. Make the task-specific outcome reviewed acquisition commercial opportunity model visible beside its evidence, review state and value baseline.
