DATA & AI

AI that understands how insurance actually works.

We build custom AI and data solutions for carriers, MGAs, and brokers - designed from the ground up for the complexity of specialty and E&S lines, not retrofitted from generic platforms.

69%

in-appetite rate

52%

faster triage

35%

ETL runtime reduction

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WHAT IT IS

Insurance Businesses We Support

We design, train, and deploy insurance-specific ML and GenAI models around your actual workflows, data, and risk appetite.

What we build

AI Agents & Automation

Custom AI Models

Data & Analytics

Built for insurance. Trained by underwriters.

Most AI tools fail because they're built in a vacuum. We embedded insurance logic directly into BoundAI so it doesn't just scan PDFs, it understands what matters and what's missing.

What BoundAI Can Do

⌃

Extract and structure data from submissions, loss runs, policies, and inspection reports

Validate the information against rules and guidelines

Flag inconsistencies and incomplete files

Feed clean data directly into your policy admin or CRM systems

Business Impact

⌃

Client

Large E&S Wholesaler

Problem

Submission backlog, slower market reach, inconsistent clearance and unpredictable turnaround

Underwriting

BoundAI loop deployed for real-time intake, extraction, and submission clearance decisions

Impact

Cleared 69% of new submissions with zero human touch
Cut average submission processing time from 3.5 hours to 4 minutes
Saved ~1,200+ underwriter hours per month

When to Use BoundAI

⌃

You’re buried in PDFs and emails

Your team spends hours rekeying submission data

You need to scale fast without growing headcount

You want audit-ready results and full traceability

What if your team didn’t have to handle the busywork?

Lets talk

LLMs are easy to drop into a workflow. Real results aren't.

We design, train, and deploy insurance-specific ML and GenAI models around your actual workflows, data, and risk appetite.

We build and train models for

⌃

Submission Clearance
Automate intake, AI audit submission docs, and pre-check risk appetite

Underwriting Helpers
Use GenAI to summarize large packets (e.g. SOVs, policies, loss runs) and validate binder vs quote

LOB Classification / Routing Models
Train on submission metadata or past placements to improve quote routing accuracy

Claims FNOL Assistants
Extract, classify, and route FNOL documents using GenAI

GenAI Q&A + Summarizers
Assist underwriters/claim analysts with context-aware agents trained on their own docs

Real-world results

⌃

Client

Specialty MGA

Problem

Underwriters were manually classifying business lines, which slowed quote speed and created inconsistencies.

Solution

We built a custom LOB classification model trained on historical submissions.

Impact

96% model accuracy
52% reduction in misclassified submissions
3× faster quote generation and less rework

Why custom models win

⌃

Tailored to your underwriting appetite and risk criteria

Continuous learning from your own portfolio

Competitive edge through differentiated analytics

Complete control over inputs, outputs, and thresholds

What if your team didn’t have to handle the busywork?

Lets talk

Insurance runs on data, but only if you can trust it, structure it, and surface it in time.

From ingestion to insight, we design, maintain, and evolve your data pipelines for performance, scalability, and insurance-grade reliability.

Our services include

⌃

Data lakes and warehousing
Centralize structured and unstructured data

ETL and ELT pipelines
Clean, transform, and load data across systems

Data quality and governance
Build trust with rule-based validation

Always-On Reporting
Ensure your dashboards are always up to date, driven by continuous data flows and short refresh periods

Data cataloging and lineage
Understand where your data comes from and where it goes

Real-world results

⌃

Client

Specialty MGA

Problem

Underwriters were manually classifying business lines, which slowed quote speed and created inconsistencies.

Solution

We built a custom LOB classification model trained on historical submissions.

Impact

96% model accuracy
52% reduction in misclassified submissions
3× faster quote generation and less rework

Why custom models win

⌃

Tailored to your underwriting appetite and risk criteria

Continuous learning from your own portfolio

Competitive edge through differentiated analytics

Complete control over inputs, outputs, and thresholds

What if your team didn’t have to handle the busywork?

Lets talk

What if your team didn’t have to handle the busywork?

Lets talk

INSIGHTS

AI and Data Innovation Covers

GenAI Integration & Automation

Seamlessly integrate generative AI into existing workflows to automate repetitive tasks and accelerate decision-making.

Intelligent Document Processing

Automatically extract and validate data from ACORDs, SOVs, loss runs, and bordereaux with AI-powered precision.

Custom ML Model Development

Build tailored ML models for LOB classification, appetite matching, and risk scoring across your insurance book.

Data Engineering & Pipelines

Design and build scalable data pipelines that reliably move and transform data across your insurance technology stack.

Zero-Downtime DB Migrations

Execute complex database migrations with zero service interruption using battle-tested deployment patterns.

Executive Dashboards & Insights

Provide leadership with real-time underwriting dashboards and analytics tools for faster, data-driven decisions.

Claims Intelligence & Analytics

Surface trends, detect anomalies, and monitor claims performance with AI-powered operational intelligence.

BoundAI Integration & Deployment

Deploy and operationalize BoundAI with full-stack support, from initial setup through sustained production performance.

Proof in Practice

Custom ML and GenAI Models

A mid-size MGA writing specialty business was overwhelmed with broker submissions, forcing underwriters to review too many risks that rarely bound. Nearly 55% were out-of-appetite, and static PDF guidelines made consistency impossible. By unifying three years of submission, quote, and bind data, our team built custom ML models that scored each submission against actual binding patterns. The scores, embedded directly into the underwriting workbench, gave underwriters real-time triage guidance and leadership new distribution intelligence.

The results? In-appetite rates jumped to 69%, average review time per submission was cut in half, and hit ratios climbed from 18% to 32%. Brokers even began improving submission quality thanks to new efficiency rankings.

We went from chasing everything to focusing on what actually fits. The model saves time and gives us confidence we're spending it where it matters.

Head of Underwriting

Specialty MGA

Data Engineering and Advanced Analytics

A specialty market intermediary modernized its data foundation by migrating from a legacy Oracle database to SQL Server. OIP Insurtech designed custom ETL pipelines, optimized schemas for analytics, and ensured seamless continuity across APIs and utilities. The cutover was completed with zero downtime, reducing ETL runtimes by 35% and eliminating long-standing data inconsistencies.

Now our data environment is faster, cleaner, and analytics-ready. We can run advanced queries and integrate BI tools directly without the bottlenecks we used to face.

Head of Operations

Specialty Intermediary

Target Organizations

Insurance Businesses We Support

Carriers and MGAs with high submission volume and manual processing bottlenecks

Operations teams losing time to document-heavy workflows

Tech leaders evaluating AI for underwriting or claims automation

Data teams needing to modernize pipelines or reporting infrastructure

PROVEN IN PRODUCTION

The Numbers That Matter.

96%

Model Accuracy

LOB classification model accuracy achieved on a live carrier deployment.

52%

Reduction in Misclassified Submissions

Direct impact on underwriting throughput and manual review workload.

Faster Quote Generation

Through automated data extraction and real-time appetite matching.

35%

ETL Runtime Reduction

Zero-downtime Oracle to SQL Server migration with full data integrity.

Extend Your Capabilities

AI and Data Innovation works best when paired with BoundAI for production-ready document automation or Cloud and Infrastructure Engineering for scalable deployment.

Cloud & Infrastructure Engineering

Learn more

Specialized Practice Services

Learn more

BoundAI

Learn more

WORK WITH US

Ready to Reclaim Your Underwriters’ Time?

Stop losing talent and revenue to administrative bottlenecks. Let's discuss how OIP Insurtech's underwriting support can help your team focus, scale, and grow.

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Serving the US E&S market and London market since 2012