GHGabriel Heinemann
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AI agent readiness, governance, and implementation for real business workflows.

Capability is not authority.

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Insurance

Before agents touch claims routing, make the workflow agent-ready.

AI agents can help with claims routing, but only after insurance teams define authority, policy context, approval paths, evidence, and outcome accountability.

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Workflow brief

Core risk

An agent routes, escalates, drafts, or prioritizes a claim without clear authority, policy context, review rules, or evidence of why that action was taken.

Built for

Claims operations leader, COO, CIO, transformation lead, compliance partner, or department head

Starting point

Agent Readiness Audit

Useful resource

7 Gates Checklist or Agentic Readiness Scorecard

Why this workflow matters

It looks operational. It carries authority risk.

Claims routing is a strong first workflow to audit because it is document-heavy, time-sensitive, authority-sensitive, and easy to explain without promising claim outcomes.

Claims routing feels like an operational workflow, but it carries authority, context, evidence, and escalation risk.

The question before automation

Can the workflow prove why an action was allowed?

Before an agent assists, recommends, routes, drafts, escalates, or triggers a next step, the team needs identity, authorization, approved context, risk classification, review rules, evidence, and outcome attribution.

Where it usually breaks

The audit exposes the control gaps before agents act.

Authority gaps

Agent routes a claim to the wrong owner
Agent treats a draft recommendation as an approved decision
Agent escalates without a defined threshold
Agent sends customer-facing language before review
Agent prioritizes cases without business authorization

Context gaps

Outdated policy version used
Missing endorsement or exclusion
Conflicting claim notes
Incomplete document packet
Unclear source-of-truth hierarchy

Approval gaps

No written approval path for escalation
Coverage-sensitive action lacks human review
Fraud queue routing lacks signoff threshold
Customer response drafts bypass review
Supervisor approval captured in chat but not system

Evidence gaps

No proof of policy source used
No record of routing rationale
No preserved model input/output
No human approval timestamp
No exception classification

Workflow teardown

Where agents may help, and where they need boundaries.

Claims routing

Claims arrive from multiple channels, are triaged by people or rules, then routed to adjusters, specialists, or escalation queues.

What breaks: Policy context is incomplete, Routing rules differ by team, Escalation thresholds are informal, Evidence is scattered

Where agents may assist: Classify claim type, Summarize file, Recommend queue, Draft customer update

Why controls matter: Routing looks administrative, but it can influence timing, handling, customer communication, and escalation risk.

Controls to define: Authority matrix by claim type, Approved policy source hierarchy, Escalation threshold, Human review class, Routing rationale evidence

Coverage triage

Teams inspect policy language, endorsements, exclusions, loss facts, and internal guidance before routing or review.

What breaks: Policy versions conflict, Relevant facts are missing, Review ownership is unclear, Rationale is hard to reconstruct

Where agents may assist: Summarize policy language, Flag missing documents, Draft triage memo, Suggest review path

Why controls matter: The agent can appear confident while using incomplete or non-authoritative context.

Controls to define: Current policy verification, Required document checklist, Human approval, Evidence packet, Conflict handling rule

Fraud escalation

Potential issues are flagged through rules, adjuster judgment, or patterns, then routed to special review.

What breaks: Escalation thresholds vary, Context is incomplete, False positives lack explanation, Approval paths are not consistent

Where agents may assist: Flag suspicious patterns, Summarize rationale, Prioritize queue, Request missing evidence

Why controls matter: Escalation has customer, operational, reputational, and review consequences.

Controls to define: Risk class definition, Human review threshold, Evidence rationale, Escalation owner, Override log

Before

Claim files scattered across systems
Routing rules differ by team
Escalation thresholds live in judgment
Evidence trails are hard to reconstruct

After

Authority matrix mapped
Policy context sources ranked
Human review thresholds defined
Evidence packet tied to each route

What the audit produces

A practical map from workflow risk to controlled execution.

The audit does not start by selecting a tool. It starts by making the work legible enough for humans and agents to share the same operating model.

Claims workflow map
Authority and escalation map
Policy context inventory
Human review matrix
Evidence requirements
Audit-to-blueprint recommendation

Questions to answer first

Which claims workflow are you considering for agent support first?

Who owns routing authority today?

Which policy and file sources are authoritative?

What must a human approve before the workflow advances?

What evidence would you need if the route were challenged?

Clear boundaries

No guaranteed ROI, savings, compliance, legal, clinical, or operational outcomes before diagnosis.

No assumption that agents should handle claims routing without human review rules.

No automation plan until trusted context, approvals, evidence, and escalation paths are mapped.

No broad agent permissions. Start with one scoped workflow and one clear review path.

Start with one workflow.

Start with a focused Agent Readiness Audit for one claims routing or escalation workflow before any build. Suggested scope: One claims queue, one routing workflow, or one escalation path.

Start an Agent Readiness AuditView Workflow Examples