Intercompany mismatch explainer

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will finance teams with multiple entities use it to solve "different descriptions obscure matching intercompany entries"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree the acceptance criteria, input limits and reviewer responsibilities before starting.
4. Measure, then decide. Track confirmed match rate and unresolved balance. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Costed pilot: Read-only reconciliation; no automatic journals. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: normalize descriptions; propose transaction pairs. Support the third task through an assisted review queue: compare currency dates. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of reviewed intercompany reconciliation. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.

After the MVP. After paying customers repeatedly accept reviewed intercompany reconciliation, automate isolate unmatched amounts; collect entity explanations; export reconciliation bridge. Add one tested read integration, reusable customer configuration and scheduled repeat delivery. Increase supported formats or teams only when evaluation cases and reviewer capacity cover the new scope. Read-only reconciliation; no automatic journals.

What the build depends on. Stable identifiers, consistent metric definitions, deterministic calculations, source lineage and representative review samples. Poor coverage must remain visible. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: Read-only reconciliation; no automatic journals.

Pricing to test

Test USD 500-2,000 for an initial analysis of one bounded dataset. Offer USD 250-1,000 monthly for repeat reporting at agreed volume. Data cleanup and specialist analysis are separately priced. These are test ranges. For this buyer, package the first sale around reconcile one entity pair and the defined reviewed intercompany reconciliation. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Message to test

Explain unmatched balances with source-linked candidate pairs. Demonstrate the result with reconcile one entity pair for finance teams with multiple entities. Use a concrete before-and-after example without promising unmeasured savings.

Where to find buyers

Multi-entity accountants and finance shared services

Lead magnet

Reconcile one entity pair

The first 30 days

1. Week 1: interview five prospective buyers from finance teams with multiple entities and inspect how they handle different descriptions obscure matching intercompany entries.
2. Week 2: prepare reconcile one entity pair using authorized or synthetic material.
3. Week 3: share the demonstration through multi-entity accountants and finance shared services and seek one bounded paid pilot.
4. Week 4: measure confirmed match rate and unresolved balance, review delivery effort and ask for a repeat purchase. This is a validation schedule, not a promise that the full product can be built in thirty days.

Paid pilot

Agree the acceptance criteria, input limits and reviewer responsibilities before starting. Run reconcile one entity pair and deliver reviewed intercompany reconciliation. Compare confirmed match rate and unresolved balance with the buyer's current process on comparable cases; include corrections, missed issues and reviewer time. Seek payment and repeat use. Stop or revise the scope if data access, accuracy or unit economics fail.

Success metrics

Confirmed match rate and unresolved balance

Retention and expansion

Build repeat use around reviewed intercompany reconciliation. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on confirmed match rate and unresolved balance. Offer a recurring volume allowance after repeat demand; expand to adjacent tasks only when the buyer asks and delivery quality remains acceptable.

Why clients would pick it

Domain-specific definitions, trusted source mappings and a history connecting findings to actions and observed results. For this concept, accumulate permissioned examples and reviewer corrections around explain unmatched balances with source-linked candidate pairs. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

Alternatives and positioning

Analysts, business intelligence dashboards, spreadsheets and general text summarization tools. Position this concept around explain unmatched balances with source-linked candidate pairs. Compare it against the customer's current process on the same representative task. This is proposed differentiation; no exhaustive competitor study or uniqueness claim has been established.

Main delivery costs

Data preparation, reconciliation, classification, expert interpretation, customer-specific definitions and recurring reporting support. Initial validation additionally budgets for accountant-led validation. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.