The numbers, and the conversations around them

If your reserving and reporting run on spreadsheets reconciled in March for a December number — and your customer conversations cannot scale — both problems share one cause.

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Finance, Risk & Voice, out of the box.

01FP&A forecasting & IBNR reservingDriver-based forecasting with the assumption set on the recordPre-built

02Regulatory reporting packsAssembled from signed-off records, per jurisdictionPre-built

03Voice agentsArabic, English, Hindi, MalayalamPre-built

04Retention & servicing callsOutbound conversations with human handover built inPre-built

Three answers, before you have to ask.

The economic buyer is assessing career risk, not capability. These are the three doubts, answered inline.

The full detail lives on the Trust page.

Determinism

What happens when the model is wrong

Deterministic rules run before any model does, and roughly 69% of narration-audit records settle on rules alone. Below the confidence threshold the workflow escalates to a human rather than guessing.

Deployment

Where the models run, where the data sits

Your choice per deployment: SaaS, private cloud in your own subscription, on-premise inside your data centre including the models, or fully air-gapped with no egress at all.

Regulatory

Can this be shown to a regulator

Every decision carries a defence file: source, rule applied, confidence, adversarial record, and the named approver. Regulatory overlays ship per geography, versioned alongside the workflow.

A bounded way to find out.

No quarter-long RFP. A working session on your documents, with the challenge step switched on. If the controls it extracts are wrong, you will see that immediately — which is the point.

DurationSix to eight weeks, on a process you name.

What we need from you

A named process, and the documents it touches
One working session with the team that owns it
The regulatory pack for the geography you run in

What you get at the end

A running agent team on your data
The defence file for a real decision, end to end
A written readout: what held, what did not, what production takes

The same cycle, whatever the domain.

Finance, Risk & Voice work goes through SPAR like everything else. The domain knowledge changes; the governance does not.

SaaSPrivate cloudOn-premise

Model choice is configuration, per agent, at runtime - including your own on-premise model.

SSourcePulled from the system of record, with provenance and hash captured at ingest.provenance · hash

PProcessDomain specialists run in parallel under a schema contract, so bad payloads fail loudly.schema contract

AAdversarialA separate agent, on a different model, tries to break the result.cross-model review

RReleaseNothing leaves without a named human approving it. Citations, confidence, all of it.named approver

See finance, risk & voice on your own documents.

A working session, on your data, with the challenge step switched on. If the controls it extracts are wrong, you'll see that immediately - which is the point.

Book a demo