Auditable AI use cases

Where would you use AI if it actually worked?

See what your AI can do when it understands how your documents, data and rules fit together.

Isometric branching decision network showing auditable AI reasoning paths
Built for accountable decisionsPerception. Reasoning. Action.

Validated

Eliminate the jobs you don't want to do

“We partnered with Onteric to free our advisors to focus on what drives revenue. The ROI case was clear from day one.”
Andy Oldham, CEO, Mojo Mortgages
1 hoursaved per loan case
Up to 20%more accurate than manually completed/best-guess I&E assessments
Traceablefields linked back to source evidence

These measured outcomes belong to the Mojo Mortgages workflow. Results for other applications should be established through a scoped pilot rather than inferred from this deployment.

Business understanding in practice.

These financial and operational examples show how Onteric connects documents, data and explicit rules. They illustrate the context behind a workflow, not the full definition of company brain.

Isometric payslips, household bills and identity records connected through a reasoning layer to a fact find

Mortgages

Fact find and income and expenditure

The work

Advisers print off bank statements, cross check against payslips, re-key that information, which slows cases down, distracting advisers from building relationships with clients.

With company brain

Understands the whole case file in seconds, flag missing documents, data contradictions, completes fact finds, including income and expenditure, automatically. Even matching against criteria where relevant.

Measured by: adviser time per case, time to close case, I&E accuracy, document-processing cost.

Connected client documents, financial records and policy checks in an isometric review workflow

Financial advice

Onboarding and annual reviews

The work

Onboarding a new client and conducting annual reviews can involve hours of pulling data from different places and cross checking it, and that’s before you look at what changed. Time is spent on admin not advice.

With company brain

Onboarding a new client and conducting annual reviews pulls data automatically from all relevant sources including email, CRMs, policies and previous fact finds so all the prep-work is done for the adviser.

Measured by: admin hours per client, adviser capacity released.

Traceable verification path connecting evidence to checked outcomes

Conveyancing

Source-of-wealth validation

The work

Conveyancers cross-check statements, gift letters and sale proceeds across a high-liability AML file.

With company brain

Figures are reconciled across every document type, unexplained gaps are identified, and the evidence and logic behind every check is logged and audited.

Measured by: review time per file, exceptions found before submission, to-and-fro with client.

Claim documents passing through policy checks into verified outputs

Insurance

Claims evidence and policy rules

The work

Assessors compare invoices, reports and policy documents by hand, slowing decisions and making consistency hard to demonstrate.

With company brain

Claim evidence is structured, coverage rules applied exactly, and only genuine exceptions go to a human assessor.

Measured by: handling time, referral rate, decision consistency.

Invoices reconciled against approved records with one discrepancy isolated

Healthcare finance

Invoices against approved spend

The work

High invoice volumes make line-by-line checks against purchase orders, budgets and approved suppliers slow and error-prone.

With company brain

Every invoice line is matched to approved records, with the exact price, quantity, supplier or duplication discrepancy shown.

Measured by: FTE hours saved, overpayment identified.

Bank records and invoices connected through matching logic with exceptions separated

Finance operations

Bank reconciliation and accounts payable

The work

Finance teams match transactions to invoices and purchase orders by hand, then spend month-end chasing exceptions.

With company brain

Bank and AP data are matched against your rules, with missing evidence, duplicate payments and mismatched amounts escalated automatically.

Measured by: reconciliation hours, unresolved exceptions, time to close.

One architecture, many workflows

From source evidence to a defensible action.

These workflow examples illustrate the document understanding and explicit reasoning behind Onteric's approach. Company brain extends the proposition to shared, continuously updated business context beneath AI applications.

Extract the evidence

Documents, emails, and connected data are parsed into structured facts while retaining links to their source.

Map the domain

Each fact is mapped to your definitions, policies, and workflow ontology rather than a generic free-text schema.

Apply explicit logic

Rules reconcile the evidence, identify exceptions, and derive the permitted result in a repeatable way.

Preserve the trace

Every output carries the source evidence, checks, and reasoning path needed for review and audit.

See what a company brain could mean for your business.

Learn how company brain builds a continuously updated understanding of your business—and how that understanding can give AI the context to work across your organisation.

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