ABOUT

Find the revenue the records already account for.

Revenue goes uncollected without anyone doing anything wrong: a partial payment applied and never chased, a contract rate agreed and never billed, a fee clause nobody applied. Each is small enough to miss and none of them announce themselves. Business Revenue Recovery exists to go looking, with the evidence attached. How much is there in any given business is a question only that business's records can answer.

What we are trying to do

Build software that reads the records a business already has (invoices, statements, contracts, accounting exports) and points at the specific places money is sitting uncollected, with the evidence attached.

Two commitments shape the whole product. The first is that a number without its evidence is not a finding. Every amount Revenue Recovery AI reports carries the source document and the reason it was flagged, so a person can check it rather than trust it. The second is that the software does not act. It does not send emails, it does not contact customers, and it does not move money. It finds and it explains; a person decides what happens next.

There is a third commitment that matters more than it sounds: the product would rather say “this needs review” than produce a confident total it cannot support. Where the currency of an amount is unclear, or two records disagree, the amount is held out of every total and flagged instead of being quietly folded in. A tidy number that is wrong is worse than an honest gap.

Built by

Bonjoh Ngoasong

Founder. Business Revenue Recovery is built and operated from Manchester, New Hampshire.

I’m Bonjoh Ngoasong, founder of Revenue Recovery AI, based in Manchester, New Hampshire. I’m building RRA to help small and mid-sized businesses answer a question that directly affects their bottom line: “Have we collected everything we’ve earned?”

Many small and mid-sized businesses work hard to generate revenue but do not always have the time, systems, or staff needed to verify that every bill, fee, service, and contractual obligation has been properly recorded and collected. Revenue can be lost in ordinary operational details: an invoice may be sent for the wrong amount, a completed service may never be billed, a recurring charge may be overlooked, a payment may be partially collected, or a contract may include fees that are not consistently applied. These issues are often difficult to identify because the information is spread across invoices, customer records, contracts, payment systems, spreadsheets, and internal communications.

RRA is designed to help bring those details together and identify possible gaps between what a business earned and what it actually collected. The goal is not to create unnecessary complexity or overwhelm business owners with technical reports. The goal is to provide clear, practical findings that help them understand where money may have been missed and what evidence supports each finding.

My background brings together business and technology. I’m a veteran with a bachelor’s degree in Business Administration, a degree in Computer Science, and a bachelor’s degree in Cybersecurity. Each area contributes to how I’m building RRA. Business administration helps me understand the financial pressures and operational realities small and mid-sized businesses face. Computer science provides the foundation for developing software that can analyze information, identify patterns, and organize findings efficiently. Cybersecurity reinforces the importance of protecting sensitive business and customer data throughout the process.

RRA brings those disciplines into one practical project: understanding where revenue can be missed, building software to find it, and protecting the information businesses trust us with. That means treating security, privacy, accuracy, and transparency as core parts of the product rather than features added later. A revenue recovery system is only valuable if business owners can use it confidently and understand how its conclusions were reached.

As a single founder building a business myself, I’m focused on making RRA useful enough to earn a customer’s business. I understand that small and mid-sized business owners cannot afford to spend time reviewing vague alerts or chasing unsupported assumptions. They need information that is relevant, understandable, and connected to their actual operations. For that reason, RRA is being developed to go beyond a dashboard that simply displays “potential money found.”

An unpaid balance, an underbilled service, a missed contractual fee, or an incomplete payment needs supporting evidence. A useful finding should explain what appears to have happened, identify the records involved, show how the potential amount was calculated, and make clear what still needs to be verified. The customer needs to understand the finding, decide whether it is valid, and remain in control of what happens next.

RRA is intended to support decision-making, not replace the business owner’s judgment. The system does not assume that every discrepancy is collectible revenue. There may be legitimate explanations for differences, including discounts, credits, refunds, billing adjustments, disputes, or special agreements. Customers must be able to review the context, confirm whether a finding is valid, and determine the appropriate next step.

RRA never automatically sends a recovery message to a customer. No customer should receive a payment request, correction notice, or collection communication without the business owner’s knowledge and approval. This human-review process is important because revenue recovery involves relationships, contracts, customer expectations, and business judgment, not just numbers.

That same standard shapes the offer: a 7-day free demo (self-serve access currently paused), with the $99 monthly subscription beginning only if the demo identifies recoverable revenue the customer confirms and accepts. The demo is intended to give prospective customers an opportunity to understand how RRA works and evaluate whether it can identify meaningful opportunities in their own business. The subscription should not begin simply because a user signs up or uploads information. It begins only when the demo produces a finding that the customer recognizes as valid and chooses to accept.

The 25% success fee applies only to money actually recovered. A possible recovery is not the same as money in the bank. RRA does not treat an estimate, an identified discrepancy, or an approved claim as recovered revenue. The success fee is tied to the outcome that matters: funds that the business actually receives. This approach is intended to align the service with the customer’s results and reduce the risk of charging for opportunities that never become real collections.

Founding-pilot onboarding is currently paused; you can request a manual revenue audit instead. Founding pilots’ feedback is intended to improve the product, refine the review process, and understand the different ways small businesses experience revenue leakage. Early customers will help shape how findings are presented, what types of records are most useful, and how RRA can fit into existing workflows without creating additional administrative burdens.

The broader goal is straightforward: help business owners find revenue they may have overlooked, understand why it may be owed, and decide what to do next. I want RRA to make revenue recovery more accessible to small businesses that may not have dedicated billing analysts, finance teams, or expensive enterprise software.

Ultimately, I’m building RRA around a simple principle: business owners should not have to trust a claim they cannot check. Every potential recovery should be supported by understandable evidence, every action should remain under the customer’s control, and every fee should be connected to real value.

The problem this exists for

Business-to-business billing is assembled by people, from more than one source, under time pressure. An agreement lives in a contract. The work lives in a timesheet, a delivery note or a project system. The invoice is put together from both, usually at the end of a month, usually by somebody with other things to do. Nothing about that process is careless. It is simply a place where two documents have to agree, and sometimes they do not.

When they do not agree, the gap is almost never obvious. An invoice raised at last year’s rate looks exactly like an invoice. A line item that was delivered and never billed leaves no trace on the invoice at all, because the evidence of its absence is in a different document. A late fee the contract allows and nobody applied looks like nothing, because it is nothing. It is a thing that did not happen. None of these produce an error, an alert or a reconciliation break. They produce a slightly smaller number, and the slightly smaller number gets paid.

The practical consequence is that this kind of leak is invisible to the systems a business already has. Accounting software tells you what you billed, not what you could have billed. A collections process chases what was invoiced and not paid, which is a different problem entirely. It never asks whether the invoice was right in the first place. Reviewing it by hand means opening a contract and an invoice side by side, for every customer, every month, which is why almost nobody does it.

That is the gap this product works in: comparing what the records say was agreed against what the records say was billed, across more documents than a person would read, and reporting the differences with the evidence attached.

How we decide what the product may say

A tool that reads your contracts and tells you money is owed is making claims on your behalf. If one of those claims is wrong and you act on it, the cost is not a bad user experience. It is an awkward conversation with a customer about money, which is expensive in a way software defects usually are not. That asymmetry decides most of the design.

Evidence before conclusion

Every amount reported carries the source document and the reason it was flagged. The question the interface is built to answer is not how much? but why do you think so? Because the first question has an answer you have to trust and the second has an answer you can check.

Abstention is a valid output

Where two records disagree, or the currency of an amount cannot be established, the amount is held out of every total and flagged rather than quietly folded in. This produces visibly incomplete totals, which look worse than confident ones and are worth more. A tidy number that is wrong is the single most expensive thing this product could produce.

The software does not act

It does not send emails, contact customers, take recovery actions or move money. Recovery messages are drafted and stay drafts until a person approves them, and the application refuses to execute an action that is not in an approved state. There is no scheduler or background worker in the application that could route around that gate. This is a structural property rather than a policy we intend to follow.

Amounts keep their currency

Money is held exactly, in minor units, in the currency it was recorded in. Amounts in different currencies are not added together into a single total, because a converted figure is a different number from the one on the invoice and only one of them is the amount somebody owes.

We do not claim what we cannot evidence

There are no customer logos, case studies or recovery totals on this site, because the company has not yet earned any it could publish. Every figure shown anywhere on this site is synthetic sample data from a made-up business, labelled where it appears. There is no completed SOC 2 or ISO 27001 audit, and the security page says so rather than staying silent. Silence in a confident security section gets read as a yes.

Where the product is today

Revenue Recovery AI is early, and the honest description of its stage is more useful to you than a confident one. Onboarding of ten founding pilot businesses is currently paused; you can request a manual revenue audit instead. What is limited is how many businesses are onboarded at once, so each gets direct attention while the product is young, not the price, and not the feature set.

What works today

Analysis of uploaded documents (PDF, CSV, XLSX and plain text) against each other, with the evidence for each finding attached.
Accounting data imported as a file export, with column names matched flexibly rather than literally.
A review workflow where a person accepts or rejects each finding, and only accepted findings count.
Recovery cases with status, drafts, follow-ups, an audit trail and recorded payments, with the original evidence still attached.
Owner, Operator and Viewer roles, with every record scoped to a business identifier.

What does not exist yet

A live two-way connection to an accounting system. Today you export and import a file, which also means you control exactly which records are seen.
A completed independent security certification.
Any published customer outcome, because none has been earned yet.
Any capability to pursue, demand or escalate. This is not a collections agency and it takes no legal action.

This list is maintained as the product changes. If something on it matters to your decision, ask. The answer will be the current state rather than a roadmap.