Agency Bridge
The operating layer for independent agencies.
Independent insurance agencies run on a patchwork of agency management systems, carrier portals, email threads, and documents. In practice, the people running the agency end up acting as the integration layer, manually carrying information between systems that don't talk to each other.
Agency Bridge connects those systems directly: customer data, carrier information, communications, documents, renewals, and submissions, brought together into one intelligent workspace so agency staff can work from a single place instead of bridging six.
Day to day, that means one view of a client's policies, carrier correspondence, and open submissions, instead of five logins and a mental map of where everything lives. Renewals and submissions move through the workspace instead of getting rebuilt from scratch each time.
The Problem
Agency systems, carrier data, communications, and documents live in disconnected tools. Agency staff spend real time each day acting as the manual bridge between them.
The Approach
Agency Bridge connects those systems and data sources into a single intelligent workspace, removing the manual work of bridging disconnected tools so agency staff can focus on the agency's actual business.
of all U.S. property-and-casualty insurance written in 2025 was placed by independent agencies
Verified· Independent Insurance Agents & Brokers of America ("Big I"), 2026of commercial-lines premium was written by independent agents
Verified· Independent Insurance Agents & Brokers of America ("Big I"), 2026of surveyed agency principals and employees used AI for work in the prior year, but only 14% said their agency had actually implemented an AI solution
Verified· Liberty Mutual, 2026average time savings estimated by agency AI users
Verified· Liberty Mutual, 2026independent agencies nationally (approximate industry-wide universe)
Verified· Independent Insurance Agents & Brokers of America ("Big I"), 2026agency locations represented by the Big "I" - a documented, identifiable segment, not automatically all prospects
Verified· Independent Insurance Agents & Brokers of America ("Big I"), 2026Applied Epic
Agency management system
- policy lifecycle management
- pipeline
- quoting/submissions
- accounting
- payments
- reporting
- workflow automation
Overlap: Core agency management and workflow automation
Differentiation: Applied Epic is the system of record most mid-size and enterprise agencies already run; Agency Bridge works across it and other systems rather than replacing it.
Vertafore AMS360 / AgencyOne
Agency management system
- policy management
- accounting
- reporting
- integrations
- AI-driven workflows
Overlap: Policy management and AI-assisted agency workflows
Differentiation: Vertafore is actively adding AI agents into AMS360; Agency Bridge's angle is cross-system intelligence for agencies that don't want to replace their AMS to get it.
EZLynx
Agency management & rating
- AMS
- rating
- policy servicing
- renewals
- accounting
- automation
- embedded AI
- client self-service
Overlap: Rating, servicing, and embedded AI automation
Differentiation: EZLynx bundles AMS and rating into one platform; Agency Bridge is meant to sit across whichever AMS and rating tools an agency already has.
Why This Can Still Win
This category is crowded, and Applied, Vertafore, and EZLynx all already have real automation and AI roadmaps, so "an AMS with AI" isn't a differentiated claim. The stronger angle is cross-system agency intelligence without requiring a wholesale AMS replacement: aggregating data across existing tools, surfacing what actually needs action, and automating across systems that otherwise don't talk to each other.
Illustrative Cascadia model based on adjustable assumptions. This is not a forecast of future performance.
Downside
- MRR
- $50,000
- ARR
- $600,000
- Gross Profit
- $480,000
Base
- MRR
- $250,000
- ARR
- $3,000,000
- Gross Profit
- $2,400,000
Upside
- MRR
- $1,000,000
- ARR
- $12,000,000
- Gross Profit
- $9,600,000
Existing Cascadia Asset
- An existing, working codebase rather than a blank repository
- Product architecture and data model already designed
- UX/UI already designed and tested against a real workflow
- Product workflows already established, not hypothetical
- Market and competitive research already completed
- A defined brand and product identity
Start Internally
- Discovery and product strategy
- Architecture and data-model design
- UX/UI design
- Engineering across the full product surface
- Infrastructure and integrations
- Testing, security review, and deployment
- Iteration against real usage
- Market validation
Illustrative internal-build labor model
Using Cascadia’s illustrative internal development-team model (2 developers, 0.5 QA, 0.5 UX/interface design, 0.5 product/project management, U.S. Bureau of Labor Statistics national mean compensation benchmarks, plus a 30% Cascadia assumption for employer burden and overhead), a build over this venture’s typical timeline represents the following in modeled direct and burdened labor — before infrastructure, integrations, compliance, implementation, training, or support.
6-month build
~$300,000
9-month build
~$450,000
12-month build
~$600,000
Sources
- Independent Insurance Agents & Brokers of America ("Big I"), “2026 Market Share Report” (2026)
- Liberty Mutual, “2026 Independent Agency Growth Study” (2026)
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Interested in Agency Bridge?
Cascadia Venture Works is open to conversations regarding strategic partnerships, licensing, pilots, investment, and acquisition opportunities where appropriate.