Insurance

Outcomes

1

Stop commission, claims, and premium leakage at the source, before funds leave the insurer, when correction is still practical and cheap

2

Replace email-led approvals with a governed exception workbench: prioritised by dollar exposure, ageing, and risk, not every line reviewed manually

3

Give finance and compliance teams audit-ready evidence on every payout: policy applied, approver, rationale, and timestamp for regulator and internal audit review

4

Govern commissions, claims, benefit payouts, and premium streams in one control tower, without replacing policy admin, claims, or ERP systems

5

Automate straight-through processing for clean payments while keeping human judgement on the exceptions that actually move loss ratios and regulatory risk

The Problem

Industry realities that create leakage, backlog, and control gaps.

Insurers run high-volume payment streams, including commissions, claims and benefit payouts, and premium-related disbursements, often on separate systems with manual or email-led approvals

Commission schedules, tiers, accelerators, and clawbacks create calculation and eligibility errors that are costly to recover after funds move

Premium receipts, policy terms, and downstream payouts sit in different ledgers; mismatches surface late, after reconciliation

Straight-through processing is the goal for clean lines, but the operational risk sits in exceptions, and most teams lack a governed way to prioritise, evidence, and resolve them pre-release

Email-based approvals rarely produce the audit trail compliance and internal audit teams need when asked who approved what, on what basis, and when

How RedOwl Helps

Validate, verify, and govern: automate routine work while keeping real-time control on exceptions.

Automated pre-release checks on commission schedules, tiers, accelerators, and clawback eligibility

Claims and benefit payouts against policy terms, limits, excess, and duplicate payment risk before funds move

Premium and downstream payout validation against policy terms, timing, and ledger alignment

Duplicate and near-duplicate detection across invoices, payout instructions, and commission runs

Human-in-the-loop workbench for exceptions that need judgement, with evidence attached to each decision

Reason codes and rationale capture on overrides, releases, and holds

Payee and bank-detail verification workflows when supplier or payee payment details change

Audit trail linking each exception to the policy, checks run, and approver action taken

Prioritised exception dashboard with dollar exposure at risk, ageing, assigned owners, and outcomes

Governance layer on top of ERPs such as NetSuite/OGovernance scores so teams focus on highest-risk payments rather than reviewing every line manuallyracle without rip-and-replace

Configurable approval thresholds and delegation of authority as products and regulation change

Reporting for internal audit and regulator review: who approved what, when, under which policy, with what evidence

Pre-payment exceptions we govern

RedOwl optimises for exceptions, not straight-through processing. Clean lines can auto-clear; these categories route for review with evidence before release.

Commission and distribution payment exceptions

Tier or accelerator mismatch against agreed schedule
Clawback eligibility not met or applied incorrectly
Schedule vs payout variance
Duplicate commission or distribution payout

Claims and benefit payout exceptions

Duplicate claim or payment risk
Policy term mismatch
Limit or excess breach
Eligibility or coverage mismatch
High-severity outlier requiring additional review

Premium reconciliation exceptions

Premium vs policy terms mismatch
Downstream payout mismatch
Timing or ledger mismatch across systems

Governance exceptions

Missing approval evidence
Incomplete audit trail
Override without reason code

Key Use Cases

Click any use case to see when it applies, what it prevents, and who benefits.

How RedOwl Works

Every customer starts in a different place. The pattern below is consistent; data sources, sequencing, and rollout scope are shaped around your environment.

Discover and connect

We start with your stack, payment streams, and where control gaps show up today. Connection can be lightweight (exports or files) or integrated, depending on what you already run and how fast you need signal.

Validate what matters

You configure agents and policy rules around the checks that matter for your environment. RedOwl validates against contracts, master data, and thresholds before payment is approved, so scope follows your priorities rather than a fixed template.

Govern and scale

Exceptions route to the right people with evidence and governance scores. As confidence grows, you expand coverage, tighten rules, and deepen integrations at a pace that fits your team.

Industry Snapshot

Headline benchmarks on claims leakage, administrative burden, pre-payment detection gaps, and industry-wide fraud exposure.

Claims leakage

5–10%

Of total claims spend lost industry-wide to overpayments, duplicate disbursements, and inflated invoices, an estimated $18 billion a year in U.S. motor insurance alone.

2024 peer-reviewed study, Applied Sciences journal

Administrative time drain

40%

Of claims handlers' time is spent on administrative tasks rather than decision-making, a direct drag on staff capacity that automation reclaims.

Creatio, 2026 Insurance Claims Automation guide

Pre-payment detection rate

<20%

The percentage of claims leakage caught by manual pre-payment checks; the remainder is found after payment, or not recovered at all.

Regure, January 2026.

U.S. insurance fraud cost

$308.6B

Total estimated annual fraud cost across the entire U.S. insurance industry, all carriers and lines, not one company. 60%+ of insurers report fraud has worsened in three years.

Coalition Against Insurance Fraud / III.

Pre-payment governance for insurance finance operations