The problem it solves
Most bad decisions look obvious afterwards. The rule that would have caught them is simple. They were missed because the facts were never in one place. They were spread across a customer record, a credit report, a document, and a partner's data, and often across time. Nobody was in a position to apply the rule to all of them at once.
Each source makes sense on its own. The contradictions are between sources. An AI agent that reads them one at a time takes on every one of those contradictions. Fusion reads them together, and it produces the audit record at the same time.
What it checks on every case
Agreement where sources overlap
Two sources that describe the same fact should say the same thing. Fusion finds every place where your sources overlap and checks that the fact is the same in each.
Contradictions you only see across all sources
Source A agrees with B, B agrees with C, and C contradicts A. No pair shows the problem. Fusion checks for contradictions like these directly. That check is the mathematics behind Sheaf.
Agent claims against the sources
Every claim an AI agent makes about the case is checked against the sources you name as authoritative, and against other AI models that cannot see each other's answers.
The action itself
Submitting, approving, paying, or issuing waits for a person when the facts behind it do not fit together. Sheaf stops the action and parks it. The agent cannot go around this.
Where it is used
Fusion fits any situation where a decision depends on facts from several systems at once. The first use is UK mortgage and credit broking. The broker's file, the credit report, the lender's criteria, and what the customer has told the broker are checked against each other before a recommendation reaches the borrower, in the terms of MCOB suitability and Consumer Duty.
The same check works for taking on a new customer and confirming who they are, across the credit report, the bank, and their documents. It works for an insurance claim, across the policy, the report, and the invoices. It works for an investment position, across the firm's own records, the custodian, and the other party. The sources change. The check does not.
What your compliance team receives
For every case Fusion produces a signed record of whether the facts held together, a map of exactly which sources disagreed and over which fact, a record of any stopped action and who released it, and an entry in a tamper-evident record, signed and timestamped by an independent timestamp authority. The judgment stays with your people. The evidence is ready when the auditor or the regulator asks.
Data handling
Fusion works on the facts a decision needs, with personal details removed: amounts, ratios, dates, bands, attributes. Names, addresses, account numbers, and dates of birth stay in your systems. Sheaf does not train on your data. Each AI model provider is named as a sub-processor in your data-processing agreement.