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Commercial Insurance · Claims operations
Claims teams spend too much time gathering and validating information across fragmented documents instead of making decisions. Intelligent Claims Operations helps insurers ingest, structure, validate and activate claims content in Box so teams can review faster, reduce risk and scale operations without adding headcount.
The short answer
Insurers reduce claims review time by capturing claim documents from every channel into one process, classifying and normalizing them before an adjuster opens the file, extracting and validating the data inside, and delivering the result into Box and core claims systems automatically. Claims operations handled this way means adjusters spend their time deciding, not gathering and validating information by hand.
Intelligent Claims Operations is the ingestion, classification, validation and delivery of claim documents, forms, records, photos and estimates an insurer collects across the life of a claim, structured into a governed, searchable record in Box and fed into core claims systems and everything downstream of them.
Who it’s for
Claims operations, compliance/SIU and adjuster teams at insurance carriers.
What changes
Adjusters review a validated, structured claim file instead of gathering and keying it by hand.
Proof
250,000+ pages and checks a month for a major insurer, with 100% SLA adherence on fraud-related communications. See the work
A claim file, still being assembled
It breaks down in the gap between a document arriving and an adjuster being able to trust what it says.
From a claims operations desk
A claim packet arrives bundled together: a form, a repair estimate, two photos and a fax cover sheet, all scanned as one file. An adjuster has to split it apart before they can work any of it.
Meanwhile, a different claim’s supporting documents came in through the portal, the eForm and a follow-up email, each with its own metadata, none of it matching. The adjuster keys the same policyholder information into the system three times, once per source.
Then a compliance request comes in on a claim from eight months ago. Finding every document that supported that determination means checking four systems and a shared drive, hoping nothing from that file ever got misplaced.
The document pattern
Every claim moves through three stages: fragmented intake, review bottlenecks, and compliance and audit risk. Each stage has a friction point, and each friction point has a downstream cost.
Friction
Claims arrive via email, portals, eForms, fax, scans and paper, often with forms, records, photos and estimates bundled together.
Cost: Mixed claim packets
A single claim file has to be pulled apart before anyone can work it.
Friction
Adjusters spend time finding, keying and validating claim details by hand, with metadata varying across documents, systems and lines of business.
Cost: Manual data entry
Claims admin rework eats into the time adjusters should spend deciding, not sorting.
Friction
Missing or conflicting information slows review and decisioning, and unstructured records are hard to produce quickly.
Cost: Audit exposure
A fraud review or compliance request needs a record fast, and the team can’t say how confident they are in what they’ll find.
At every stage above, a person is still reconciling the claim by hand.
Why now
Regulators expect a defensible record, and claim volume isn’t slowing down to make that easier.
A real, recurring finding, not a hypothetical risk. Source: NAIC market conduct examination data, 2024.
The NAIC Market Regulation Handbook’s claims standard checks that claim file documentation is sufficient to reconstruct pertinent events and support the final determination.
Source: NAIC Market Regulation Handbook.
NAIC’s model sets a baseline of the current year plus three years for closed claim files, while New York requires six years and other states extend further, which makes a governed, searchable record more valuable the longer a file has to be kept.
Source: NAIC model law on records maintenance; state insurance codes.
Carriers report claim volume growing faster than their teams’ ability to keep up without adding headcount, the exact pressure that makes fragmented, manual intake unsustainable.
Source: DataBank Insurance Battle Card, qualifying signals.
How we help
Teams can ingest documents from any source, classify and normalize claim files, extract and validate key data, route exceptions for human review, and deliver structured information into Box, core claims systems and downstream workflows.
Capture claim documents from email, portals, eForms, fax, scans, paper and other inbound sources into one managed intake process.
Document Scanning Services →Classify documents, split packets, normalize metadata, and extract claim data with rule checks and confidence scoring, routing exceptions for human review.
Data Refinement Services →Structured, trusted claim content lands in Box, indexed with access controls, retention and an audit trail.
Content Management Solutions →Publish structured, trusted claim content into Box, core claims platforms and downstream workflows automatically, not re-keyed by hand.
Data-Driven Workflow and Automation →| Stage | Manual process | With DataBank |
|---|---|---|
| Intake | Claim documents arrive via email, portals, eForms, fax, scans and paper with no consistent structure | One managed intake process across every channel |
| Refine | Adjusters manually key, validate and reconcile claim data | Fields extracted and confidence-scored, with low-confidence fields sent to human validation |
| Manage | Claim records spread across inboxes, shared drives and paper files | One governed, searchable claim record in Box, with retention and an audit trail |
| Activate | Structured data is re-keyed into claims, ERP and downstream systems by hand | Validated claim content is delivered automatically into claims systems and everything downstream of them |
By role
A claims operations decision crosses claims operations, finance, compliance and the adjusters doing the work. Each role starts with a different question.
Claims Operations Manager / Director of Claims
Their pain
Claims throughput, cost per claim and SLA performance. Feels the pain when fragmented documents slow down review.
How DataBank addresses it
DataBank standardizes and validates claim documents from every channel. Box gives your team one governed, searchable place to review from, without a new claims system.
Start with a Custom Demo →COO / CFO / VP Claims Operations
Their pain
Cost per claim, scaling without adding headcount, and operational risk at the portfolio level. Wants the business case, not process detail.
How DataBank addresses it
Rising claim volumes don’t have to mean rising headcount. DataBank and Box fix the intake and data foundation together, so your team scales without it.
See how it’s worked →Compliance / Claims Integrity (SIU)
Their pain
Governed, auditable records for fraud reviews and compliance communications. Cares about defensibility.
How DataBank addresses it
Every claim record lives in Box, governed and audit-ready, backed by DataBank’s validation so it holds up for fraud reviews and compliance checks.
Read about security at DataBank →Claims Processor / Adjuster Lead
Their pain
Day-to-day intake, data entry and validation across channels. This work is manual and doesn’t scale.
How DataBank addresses it
DataBank takes the manual keying and validation off your plate. Box gives you one place to find what’s already been checked.
Start with a Custom Demo →Outcomes
Adjusters start from a validated claim file, so decisions move faster and hold up under review.
Teams review from trusted, structured claim data instead of fragmented documents.
Confidence scoring and rule checks route only true exceptions to a human reviewer.
Less sorting, splitting, indexing and correcting files by hand.
Every claim record carries its source and handling history, ready for a fraud review or compliance request.
Real-world results
Two real facts from the same DataBank engagement, run for a major insurance company.
Insurer experience
Challenge
Claims correspondence arrived through dozens of channels, with the majority still physical mail.
Result
DataBank runs the fully outsourced mailroom: 250,000+ pages and checks a month, 87% arriving as physical mail, scanned, extracted and delivered directly into core claims and CRM systems daily.
Insurer experience
100% SLA adherence maintained on fraud-related and claims integrity communications, while scaling to 16 payer clients on one standardized framework.
Security and compliance
Claim records stay under documented custody from receipt to the governed record, with access controls, audit trails and retention enforced on the platform.
Chain of custody
Every handoff logged, paper and digital, from receipt to the governed claim record.
Access controls
Role-based permissions, so staff see only the claims and lines of business they work.
Audit trails
Every view, edit and routing step recorded, for both routine review and SIU investigations.
Retention
Retention schedules applied on the platform and enforced by rule, matching the states and lines of business you operate in.
Hosting
Your platform, your cloud tenant or The DataBank Cloud, agreed with your IT team at scoping.
Frameworks and certifications
Next step
A guided working session to map your claims document workflow, identify intake and review bottlenecks, define success metrics, and recommend the right next step.
Start with a Custom DemoFAQ
Fair point, and the claims system isn’t going anywhere. The gap is what feeds it. Box becomes the governed, searchable home for every claim document, and DataBank standardizes and validates each one before it lands there. From there, Box organizes and feeds that clean data into every other system that depends on it, the claims system, the ERP, and beyond, so the whole stack runs on trustworthy data instead of guesswork.
That’s common to hear before a real audit or SIU review. Ask what happens today when a fraud investigation or compliance request needs a record fast: how long does that take, and how confident is the team in what they find?
It’s designed to fix the foundation without forcing a new operating environment. DataBank’s intake, standardization and exception routing plug into how the team already works in Box and the claims system, not a new one.
Digitizing alone doesn’t fix trust. DataBank adds AI-driven extraction, confidence scoring and human-in-the-loop validation, and Box turns the result into a structured, searchable system of record, not just another folder of scanned files.
Start with this week
Bring your intake channels, your current claims system and where review actually stalls. We’ll map it in a guided working session and recommend the right next step.
Start with a Custom Demo