The Differentiator:
Data First Architecture

Modernizing your insurance data strategy is key to AI underwriting automation and better risk decisioning.

How Structured Insurance Data Improves AI Underwriting Accuracy

The Convr AI Underwriting Workbench is purpose-built on a risk context engine, enabling AI to reason on insurance data, drive intelligent workflows, and generate actionable insights.

Ontology with Semantics

A commercial insurance ontology with semantics preserves the meaning of risk attributes – allowing AI to interpret underwriting data with context and accuracy.

Knowledge Graph

A knowledge graph connects risk attributes – revealing and validating relationships across submissions, business entities, and historical data to generate deeper underwriting insights.

Structured Schema

A structured schema maps insurance data into standardized JSON outputs – ensuring consistent, machine-readable inputs for APIs, analytics, and AI workflow.

AI You Can Trust

Convr AI for Commercial Underwriting

Convr uses Assistive AI to accelerate underwriting, improve data quality, and reduce manual investigative activities by embedding intelligent support directly into the submission‑to‑quote workflow.

Agentic AI

Generative AI

Deep Learning Models

Predictive Models

Built to Fit Your Stack

A core strength: Convr APIs Integrate Seamlessly

Purpose-built to fit within existing insurance ecosystems.

API-First Integration

Connect Convr to your existing policy admin systems, rating engines, and internal tools without ripping and replacing your current infrastructure, enabling seamless data exchange across the underwriting workflow.

Structured Data for System Interoperability

Every submission is standardized into a consistent, structured format – so your downstream systems can consume, process, and act on it immediately, without manual reformatting.

Turn Insurance Data into AI-Ready Underwriting Data

Transform fragmented submissions into structured, decision-ready data that powers faster underwriting, smarter insights, and scalable AI automation.

Human + AI Collaboration

AI with Human-in-the-loop (HITL) scales, improves productivity, and governance.

Expert Review

Underwriters Stay in Control

Convr AI ingests and structures submission data, while underwriters review, validate, or adjust key fields – ensuring accuracy before information moves into downstream systems.

Learning System

Smarter with Every Interaction

User feedback and corrections help refine AI outputs over time, improving data quality, extraction accuracy, and overall underwriting efficiency.

Resources

Dive Deeper into Convr

Access thought leadership, industry insights, and practical resources to modernize underwriting and drive better outcomes.

News

Convr® Strengthens Customer Experience Team with New Vice President Hire

CHICAGO (April 28, 2026) – Convr®, the leading artificial intelligence (AI) company serving commercial insurance organizations with its modular underwriting workbench announces the hiring of Jason Allen as Vice President, Customer Experience.

In this role, Allen will lead Convr’s Customer Success Services and Customer Support teams, driving strong adoption, support and advocacy across Convr’s customer base. With a strong strategic focus, Allen will further strengthen the bridge between Convr’s cutting-edge AI technology and customer requirements for the Convr Underwriting Workbench. He will partner closely with Business Development, Product and Executive Leadership to align roadmap, go-to-market strategy and customer feedback.

Allen has extensive experience driving business value with AI-powered operating systems that improve efficiency, as well as a proven track record of client success driving accelerated time-to-value. Most recently, he served as Senior Vice President, Global Customer Experience, for Aprimo, the enterprise Marketing Technology organization serving regulated and non-regulated industries. For nearly 10years with increasingly responsible roles, Allen delivered an end-to-end customer lifecycle operating model spanning onboarding, adoption, renewals and expansion, focused on customer efficiency with executional discipline for improved customer outcomes and engagement.

Prior to his time at Aprimo, Allen served as Vice President of Professional Services and Solutions Sales at Teradata. Earlier in his career, he served as a managing consultant at Ernst and Young/James Martin and Company focused on operational excellence.

Jason’s expertise in enterprise AI SaaS systems, automation, and program implementation will help Convr’s clients more readily achieve and demonstrate industry-leading growth and efficiency.

Allen has an Master of Business Administration from The University of Chicago Booth School of Business and a Bachelor of Science degree from Indiana University’s Kelley School of Business. He and his family live in Indiana.

Look for him soon at online and in-person events demonstrating his strong commitment to customer success at Convr. Learn more about Convr at convr.com.

News

A Decade of Innovation: Convr Celebrates 10 Years as the Top Underwriting Workbench

CHICAGO (April 7, 2025) – Convr®, the leading artificial intelligence (AI) company serving commercial insurance organizations hit a critical milestone this month: 10-years of transforming the commercial property and casualty (P&C) insurance industry with AI and data.\n“The Convr AI Underwriting Workbench powered by a commercial P&C Risk Context Engine and proprietary ontology continues to lead innovation in the commercial insurance underwriting space, unlocking insights and performance improvements that drive customer success,” said Harish Neelamana, Founder, President and CPO at Convr.\nFounded by underwriters, for underwriters in 2016, Convr is commemorating a decade of advancements in the commercial insurance world, backed by a decade of trusted partnerships with many of the top commercial insurers such as Ohio Mutual Insurance Group, WCF Insurance, Western National Insurance among others who have realized measurable successes, including:

  1. 130% increase in efficiency
  2. 70% reduction in submission through quote times
  3. 30% increase in win rate for new business underwriting
  4. Quote turnaround times reduced to 1-2 days
  5. 10x increase in productivity

In addition, Convr customers across the board have experienced reduced customer IT spend, quicker identification of material changes within renewals, and increased number of submissions processed daily. \n“The Convr AI Underwriting Workbench is the most advanced and visionary platform available today,” said Gary Johnson, Vice President of Commercial Lines for Ohio Mutual Insurance Group. “Our underwriters are eagerly anticipating the workflow, accuracy, and service advantages that we’ll realize once we have this key tool at our disposal.”\nEven more, over the course of the past decade, The Convr AI Underwriting Workbench surfaced some 120 billion risk exposures and added 17 billion data points to the Risk 360 data lake as well as released hundreds of enhancements to Convr users. As a leading AI-powered commercial insurance data-driven underwriting workbench, Convr is proud to mark these wins as a reflection of ingenuity, innovation and customer success.\nConvr has an unparalleled passion for commercial insurance underwriting and we’re certain our customers will continue to see benefits well beyond our tenth anniversary. You can schedule a demo and explore how Convr’s AI Underwriting Workbench can transform your commercial underwriting performance, efficiency and profitability.

Blog

Convr Accelerates MGA Growth

From Intake automation efficiency to data modeling for hidden insights, Convr is helping Managing General Agents (MGAs) turn fragmented submission documents into structured, enriched data – accelerating clearance, rating, and quote times to unleash profitable growth.

Everyone knows the best models win at taming documents!\nOur Intake module ingests and enriches data from both structured and unstructured documents including PDFs, Excel and emails across commercial property and casualty (P&C) insurance asset types, including ACORDs, Inspection Forms, SOVs, Loss Runs, Schedules, and more.

Powered by Convr AI and the Risk Context Engine – a purpose-built commercial insurance ontology, knowledge graph, and semantic layer that powers a multi-line schema – transforming fragmented submissions into structured, decision-ready intelligence. By grounding every document, application and data source into a consistent schema, Convr Intake ensures contextually complete, consistent, and reliable data from the start. The result is faster processing, fewer manual touchpoints, and improved risk clarity for accelerated MGA Growth.

Through Risk 360 – a commercial insurance data lake comprised of the digital footprints of millions of businesses – Convr standardizes addresses, performs geo-coding, enriches submissions with CAT modeling codes, and adds property intelligence data such as distance to coast and other hazard indicators. The enrichment delivers a holistic decision-ready view of risk prepared for underwriting, rating, and carrier reporting.

By eliminating re-keying and reducing back-and-forth data gathering, submissions are ready to quote in less than 10 minutes! This is how our MGA customers underwrite smarter and faster to unlock substantial written-premium growth without adding to headcount.

If you’re exploring ways to scale faster with AI, better data and meaningful operational efficiency, Convr welcomes the opportunity to share how leading MGAs are using Convr today.\nJust reach out to Convr today to see how we can help!

Frequently Asked Questions

Find quick answers to common questions about our platform, capabilities, and implementation.

What schema or data model is used to standardize data?

Convr standardizes all extracted and enriched data using a commercial insurance ontology and submission schema, implemented as a structured JSON model. This schema represents a normalized, persistent view of the risk and serves as the foundation for integrations, analytics, AI inference, and lifecycle snapshotting across new business, renewal, and endorsement workflows.

How does Convr support AI and downstream analytics?

Structured submission data is persisted in Convr’s platform and enriched with data from the Risk 360 data lake, then made available in real time via UI, APIs, and analytics integrations. This standardized data layer enables AI use cases as well as downstream reporting and portfolio analytics, including integration with external BI tools.

Operationalize Insurance Data for AI

Transform fragmented submissions into structured, decision-ready data that powers faster underwriting, smarter insights, and scalable AI automation.