Softobiz

AI CLAIM HANDLING

AI-assisted claims processing and oversight

We automate routine claims processing and route exceptions to people, with policy checks and a traceable review process.

  • Designed to move straightforward claims quickly, with exceptions routed for review
  • Human control mandatory on every consequential decision
  • Explainability and an audit trail on every automated call
HOW AI CLAIM HANDLING MOVES A CLAIM

We lead with the timeline, because the value is measured in each phase.

Each phase offers an opportunity to reduce avoidable delays.

Intake through triage is an early target for reducing avoidable cycle time. AI claim handling is one of our applied AI solutions, built on Intelligent Document Processing for intake and Structured Data Extraction for capture.

IntakeStaff sort and key submissions from email, portal, and scans. Now: documents read and structured automatically on arrival.
Data captureFields re-typed into the claims system. Now: extraction with validation posts structured data directly.
Policy checkAdjuster looks up coverage, limits, exclusions. Now: automated checks against policy and reference data.
Triage and routingManual assignment, often delayed. Now: claims scored and routed, simple ones fast-tracked, complex ones escalated.
AdjudicationAdjuster decides. Now: high-confidence, low-value claims auto-adjudicated; consequential claims decided by a person.
Settlement and auditManual notes, patchy trail. Now: decision, evidence, and rationale logged for audit.

Each phase offers an opportunity to reduce avoidable delays. Intake through triage is an early target for reducing cycle time.

The system accelerates the work, but people stay accountable for the decisions that affect a claimant.

WHAT IS INCLUDED

Intake, extraction, policy checks, and gated adjudication.

  • Automated intake and structured extraction from claim documents.
  • Policy and coverage checks against your reference data.
  • Confidence-scored triage and routing.
  • Auto-adjudication within your defined thresholds, with human control above them.
  • Explainability and an audit trail on every decision.
HUMAN CONTROL ON ADJUDICATION

Automation earns trust by knowing its limits.

In claim handling, the limit is the adjudication decision itself, and we draw it explicitly. This is the line that keeps claim handling defensible.

AUTO

Auto-adjudication

Reserved for claims that are high-confidence, within clear policy, and below a value threshold you set. These flow straight through with a full audit trail. Aggressive where it is safe.

HUMAN

Human adjudication

Mandatory for anything consequential, high-value, ambiguous, potential fraud, or outside clear policy. The system prepares the claim, a person decides. People decide what matters.

EXPLAIN

Explainability

Which policy clauses applied, what evidence was read, why it was approved or routed, travels with every automated decision. No black-box denials.

AUDIT

Audit and oversight

Every decision, automated or human, is logged with its evidence, so the process withstands regulatory and internal review. Defensible end to end.

Fraud signals and low-confidence cases always route to a human rather than being auto-denied. Adjudication controls follow Responsible AI and Governance.

OUR APPROACH

Five steps, from mapping the journey to a system that improves.

STEP 01

Map

Map the claim journey and agree where automation is safe and where a person must decide.

STEP 02

Automate

Automate intake, extraction, and policy checks first, the biggest cycle-time wins.

STEP 03

Gate

Gate adjudication with confidence and value thresholds set to your risk appetite.

STEP 04

Instrument

Instrument explainability and audit logging from day one.

STEP 05

Improve

Improve as adjuster decisions become feedback that sharpens triage and recommendations.

FREQUENTLY ASKED QUESTIONS

What claims leaders ask us first.

Only on straightforward, low-value, clearly-covered claims within thresholds you set. Consequential claims are prepared by the system but decided by a person, with fraud signals and low-confidence cases always routed to a human.

Every decision, automated or human, is logged with the evidence read, the policy clauses applied, and the rationale, so the process withstands regulatory and internal review.

Mostly from automating intake, data capture, and policy checks, the manual work surrounding the decision, rather than from removing human judgment where it is needed.

CUT CYCLE TIME WITHOUT GIVING UP CONTROL

Tell us where your claims process loses days, and we'll show what automating intake and triage does.

Automated intake, extraction, and policy checks, with the human line drawn exactly where consequential decisions sit.