Industries / Insurance
A claims file is not slow because the adjuster is slow. It sits open for weeks waiting on a police report, a medical record, a third-party response, while the adjuster hops between 5 to 8 systems re-keying the same data. OrgWorkspace runs the claim as one durable workflow that does the waiting, the gathering, and the checking for them.
45 min to 9 min
Per claim
$3M saved per year
Operations
150% claim spike absorbed
No new hires
01 The reality today
Cycle time is not an adjuster performance problem. It is a structural one. The file waits on external parties, moves through siloed systems, and accumulates error at every handoff. The people are capable. The process guarantees delay.
Police reports: 2 weeks to 3 months. Medical records: 30 to 90 days. Third-party insurer responses: 30 to 60 days or longer. The file ages. Reserves stay locked. The adjuster's caseload count inflates for work they cannot touch.
A working adjuster touches 5 to 8 systems in a day: claims platform, policy admin, document management, estimating software, email. The same data is re-keyed between each one. Every handoff is a chance for error.
5 to 10% of claims cost is paid beyond what the policy required. Usually from rushed handling and missed detail. On a $1B claims book, that is $35M to $70M a year leaving through the floor.
25% of experienced adjusters retire within the next five years. Turnover has climbed to 12 to 15%. Every departure takes claim context, carrier-specific nuance, and case history with it.
The LAE implication. Loss adjustment expense climbs when cycle time climbs: more diary touches, more status calls, more litigation from claimants who stop hearing from anyone. Every day a file stays open is a day the carrier pays for it.
02 A day in the life
Sarah's file, before OrgWorkspace and after. Press solve, and watch eleven days of system-hopping collapse into one durable workflow.
Pull · Step 1 of 6
Before
The policy lives in one system. The claim history in another. Notes in a third. Photos and policy add-ons in two more. Twelve tabs open before she has twelve facts.
After
The new claim arrives. Workspace pulls the policy, history, notes, photos and documents from every system into one file. Sarah opens one tab instead of twelve.
03 The architecture
Most "AI claims" tools hand everything to a language model and inherit drift, unpredictable cost, and no audit trail. OrgWorkspace splits the work between two kinds of agent: one for the routine, one for the judgment.
Coverage verification, claim routing, statutory-deadline timers, payment-authority checks. Same input, same output, every single time. No drift, no token cost, fully unit-testable.
Reading a police report narrative, interpreting a messy FNOL submission, triaging severity, flagging an inconsistency in a recorded statement. AI is used only where judgment is genuinely needed.
The durable workflow is the difference.
The claim is one long-running workflow. It waits weeks for a police report without consuming compute, survives server restarts and deploys, and resumes at the exact step it paused on. Most "AI claims" tools are scripts that break the moment a step waits or fails. Durable orchestration is not a feature. It is the foundation. Code handles the routine. AI runs where judgment is needed.
04 In the workflow
Three workflows that account for the majority of claim cycle time loss. Each one runs deterministic and probabilistic agents in sequence, on a durable substrate that does not quit when a step waits.
Before
FNOL data arrives inconsistent, often by fax or email attachment. A coordinator logs it manually. Coverage verification is a phone call or a separate portal login. Assignment to the right adjuster takes hours to a full day. The statutory acknowledgment clock has already started.
After
A deterministic agent creates the claim record, pulls the policy, verifies coverage against the policy terms and endorsements, and starts the state acknowledgment clock. A probabilistic agent triages severity with a written rationale. The claim lands on the right adjuster's desk, ready to work, within minutes of submission.
Before
The adjuster sets a diary reminder that falls off a 140-file caseload. Weeks pass. The police report has not arrived. Nobody followed up. The file ages. Reserves stay set. The 30-day status letter deadline approaches without anyone noticing.
After
The workflow tracks each outstanding item as its own durable step: police report, medical record, third-party response. Follow-ups and escalations go out on schedule, automatically. The moment a document arrives, a probabilistic agent reads it, summarizes it, flags inconsistencies with the recorded statement, and notifies the adjuster. Review takes minutes, not a 20-minute file re-read.
Before
A denial written without citing the exact policy provision is a market-conduct-exam finding and a bad-faith opening. Under pressure, adjusters reference the form number from memory. The letter goes out. The citation is wrong or missing. The file is now a liability.
After
A deterministic agent assembles the policy form, endorsements, and applicable exclusions. A probabilistic agent drafts the coverage analysis with specific policy citations and the reasoning on record. The examiner decides. The system generates the denial letter with the exact policy language, the Unfair Claims Settlement Practices Act deadline satisfied, and the full reasoning preserved for audit.
05 Audit and compliance
For most claims executives, AI in regulated claims is a compliance risk. Here it is the reverse. Every step, every decision, every disclosure is timestamped and replayable months later. The audit trail is not bolted on. It is produced by the workflow itself.
Agentic AI without durable, auditable orchestration is operationally dangerous in regulated claims. OrgWorkspace is the orchestration.
A market conduct examiner gets a complete, chronological claim file on demand. Every action, every decision, every timestamp. Not a scramble through email threads and sticky notes.
Every denial carries the policy citation, the endorsements consulted, and the reasoning on record. A bad-faith challenge finds nothing to grab. The record is complete.
Acknowledgment, status-update, and resolution deadlines under the Unfair Claims Settlement Practices Acts are tracked and met automatically. No diary. No exception.
Pattern inconsistencies are flagged at intake and throughout the file, creating a documented basis for SIU referral and preserving subrogation rights before they lapse.
06 Proof
A US auto-insurance carrier processing GAP claims. Before OrgWorkspace: claim documents arrived as email PDFs, a coordinator filed them, a clerk re-keyed 30 to 40 fields per claim, another employee cross-checked policy numbers in a separate portal, gaps were chased while adjusters waited, and the audit trail was screenshots and spreadsheets nobody trusted.
After OrgWorkspace: documents are captured automatically, data is extracted and validated against the policy databases, DMV, VIN, and fraud-check APIs, the verified record lands in the core claims system ready to adjudicate, and every step is timestamped for audit. One workflow. No re-keying. No lost context.
45 min
down to 9 min
Average claim handling time
$3M
saved per year
Operational cost reduction
150%
spike absorbed
Claim volume surge, no new hires
A 14-year experienced adjuster and a 6-month on-the-job inexperienced adjuster are both able to quickly maneuver through claims to complete them at nearly the same pace. AI has made the learning curve for basic GAP claims very simple and easy.
Director, Operations
Start the conversation
A 30-minute discovery call. Bring your highest-cycle-time claim types, your biggest leakage bucket, or the workflow your team dreads most. We will walk through exactly how OrgWorkspace runs it. A scoped pilot, benchmarked in under 30 days.