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AXIS Capital · Global specialty carrier and reinsurer

How AXIS turned submission automation into a platform for expansion.

What began as global new-business ingestion in 2022 has grown into automated submission clearance across North America, with endorsement processing now in scope.

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Client Snapshot

AXIS Capital at a glance

// OPERATIONAL METRICS

Company type
Global specialty insurer and reinsurer
Lines of business
Commercial Property, Casualty and Specialty
Region
United States and Canada
Initial scope
New-business submission ingestion
Expanded scope
Automated submission clearance
Deployment
REST API integration
Core systems replaced
None
Partnership status
Live since 2022, renewed in 2024 and expanding

The context

Global growth was increasing the work before underwriting could begin.

AXIS Capital manages complex commercial risk across a globally distributed network. As submissions rose year-over-year, operational pipelines became heavily congested. Highly technical staff spent valuable time sorting, classifying and matching incoming broker files instead of applying their judgment to risk assessment.

The bottleneck wasn’t just in raw transcription; it was in the alignment of unstructured data with internal corporate guidelines. Submissions of varying format quality arrived hourly, creating manual validation queues that delayed quotes and risked market share.

To unlock true business scale, AXIS needed an operational layer that could act as a secure gatekeeper: ingesting work, validating accuracy, and preparing cases for underwriting without slowing down the core transaction system.

The challenge

Submission growth was scaling the burden with the business.

Manual intake

Incoming submissions arrived across emails, PDFs, schedules of value and supporting documents, demanding manual triage.

Clearance before judgment

Operational teams had to complete essential clearance activity and compliance matching before underwriting could begin.

Format inconsistency

Variation across lines of business and geographies increased rekeying risk and slowed the path to decision.

Growth pressure

Expansion across the US and Canada required an operating model that could handle more volume without simply adding headcount.

What mea executes

From incoming submission to underwriting-ready work.

mea introduced an insurance-native operating layer across the submission journey.

Submission ingestion

Automatically monitors submission channels to pull emails, PDF schedules, and complex spreadsheets into unified queues.

Unstructured extraction

Strips unstructured risk schedules down to transactional tabular arrays with over 92% guaranteed accuracy.

Automated clearance

Matches submission data against global databases and clearance rules to instantly route and assign active brokers.

Existing-system integration

Syncs rich submission data directly to core policy admin frameworks without requiring system overhauls.

Traceability

Tracks every data transformation, classification, and validation step with a clear, auditable paper trail.

Expansion-ready architecture

Enables fast configuration of new regional rules, underwriting criteria, and product launches.

The operating shift

The paradigm of execution: then vs now

The operating shift: before mea against with mea
Before mea With mea
Submission intake grew with volume Incoming work structured through platform automatically
Manual rekeying created processing delay Data moves securely through connected APIs in seconds
Operational teams carried clearance manually Clearance logic moves routine work instantly to systems
Greater volume required more capacity Throughput less dependent on headcount growth
New workflow expansion risked another cycle Existing layer can extend across the complete lifecycle

The business result

More work reaches underwriting with fewer manual touchpoints.

Lower operational effort

Teams bypass tedious copy-paste workflows, shifting valuable human hours toward complex risk triage and compliance checks.

Faster movement

Submissions get indexed, triaged, and cleared in minutes instead of days, resulting in industry-leading quote turnaround times.

Greater capacity

Scales business operations efficiently across state borders and product lines without requiring massive workforce hiring spikes.

Self-sharpening pipelines

Data processing loops capture feedback continuously, helping model pipelines improve accuracy autonomously month-over-month.

Proof over pilots.

“At AXIS we are focused on leveraging the transformative power of Artificial Intelligence to improve outcomes for customers, business partners, teammates and shareholders. The renewal and expansion of our partnership with mea Platform enables us to further enhance how we support our customers.”

Steve Lord, Global CIO, AXIS Capital

Cut the drag. Just win.

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