Aurum Alternative: Comparing CASS and Safeguarding Reconciliation Platforms

Why the evaluation happens

Aurum Solutions is an established reconciliation provider in the UK client money and CASS market with a well-defined product. Alternative evaluations are usually driven by scale and by the evidential shift under PS25/12 rather than by product failure.

Scale shows up as exception headcount. Match rates hold as volume grows, but the residual break count grows proportionally, and each break still requires an analyst. Firms notice this when reconciliation team growth starts tracking transaction growth.

The evidential shift shows up at audit. The question has moved from whether a control operated to whether the firm can prove the historic record is unaltered.

A third driver is source proliferation. Each new acquirer, corridor, or product introduces a new file format, and firms with a configuration-led onboarding model feel this as a backlog.

How to structure the comparison

Run the residual test. One month of genuine breaks, conclusions stripped, given to each platform. Measure autonomous resolution rate, accuracy against your team's conclusions, and legibility of the reasoning.

Run the onboarding test. A real counterparty file, unseen, timed from receipt to working reconciliation.

Run the audit test. A historic date, full control cycle requested, and a direct question about how alteration of the record would be detected.

Run the scale test. Model your break population at three times current volume and ask each vendor what happens to your reconciliation headcount.

Where Safeheld is differentiated

Agentic investigation rather than rule maintenance. Safeheld's engine investigates each residual break directly, gathering the evidence and testing the hypothesis, so the firm is not maintaining a rule library that grows with every new break pattern.

Automated schema mapping. Unfamiliar source formats are interpreted by the engine and mapped without a configuration project, which decouples onboarding speed from vendor implementation capacity.

Cryptographic sealing and independent verification. Each run is committed as a SHA-256 Merkle root at execution and can be verified by an auditor without access to the firm's systems.

Headcount that does not track volume. Because investigation is performed by the engine and only confidence-gated exceptions reach a person, the human workload scales with the ambiguity of the data rather than with the number of transactions.

The evidence standard that decides most evaluations

Under the strengthened safeguarding regime and the annual audit, the question an auditor asks is no longer only whether the reconciliation was performed. It is whether the record produced now is the record that existed then.

Conventional systems answer this with access controls and change logs. Both are internal to the system, which means the firm is asking the auditor to accept the system's own account of its own integrity.

Sealing answers it externally. Each run is hashed at execution, fixing inputs, methodology, outcome, and reviewer, and the hash can be checked by anyone holding the sealed run. The firm stops asserting and starts proving, and the annual evidence assembly project disappears with it.

When evaluating alternatives, make this a scored requirement rather than a discussion point. Ask each vendor to demonstrate how an auditor, without a login to your tenant, would detect an alteration to a historic reconciliation.

Transitioning without disrupting the control

Run in parallel for a full reporting cycle, compare daily, and record the comparison. Retire the incumbent only when equivalence is documented and the audit committee has accepted it.

Use the parallel period to benchmark autonomous resolution accuracy against your analysts' own conclusions on the same breaks. That benchmark is the honest measure of what the change is worth.

Seal historic runs for a back period where source data allows, so the verifiable trail extends behind the cutover.

Frequently asked questions

Does a higher match rate mean lower cost?

Not reliably. Match rates cluster tightly across serious platforms. Cost is driven by the residual population, because every unmatched item requires investigation. The question that matters is how many of those items the platform resolves without a person.

How is onboarding a new data source handled?

Safeheld's engine reads unfamiliar files, infers the meaning of each field, and proposes a mapping, seeking confirmation only where confidence is low. Onboarding a new acquirer or corridor does not require a vendor configuration slot.

How should audit evidence be scored in a vendor comparison?

As a hard requirement. Ask each vendor to show how an auditor, without access to your tenant, would detect an alteration to a historic reconciliation. Internal change logs are the system vouching for itself; a hash committed at execution can be checked independently.