The MJ Companies Slashes Insurance Workflow Times from Hours to Minutes with Outmarket AI

The MJ Companies has reported a significant reduction in administrative overhead following the integration of Outmarket’s AI platform into its commercial insurance workflows. For brokers and risk management consultants, the partnership demonstrates how vertically integrated AI can compress complex document analysis and proposal development from several hours into minutes, directly impacting operational profitability.

What was announced

The MJ Companies, a risk management consulting firm ranked as a Top 100 agency by Business Insurance, has integrated Outmarket’s AI platform to modernize its legacy workflows. The firm identified proposal development as a primary bottleneck, describing the traditional process of formatting and revising carrier quotes as a week-long manual exercise. Following an A/B test against multiple AI vendors, staff selected Outmarket for its specific focus on insurance-specific data and logic.

The deployment has produced measurable operational shifts. Standard tasks that previously required between four and eight hours of manual labor are now completed in a 20-to-30-minute workflow. In the claims department, the time required to construct arguments for denied claims has dropped from several hours to approximately five minutes. Beyond speed, the firm is using the platform to codify institutional knowledge, making the expertise of senior specialists available to all team members through a conversational AI interface. This serves as a "talent amplifier" for junior associates, allowing them to navigate complex insurance queries safely and rapidly.

Rather than a firm-wide mandate, the implementation followed an organic path, starting with a group of "superusers" before expanding as employees requested licenses based on internal success stories. The agency is now shifting how account managers and producers spend their time, moving away from transactional data entry to focus on risk analysis and strategic consulting for clients.

The companies involved

The MJ Companies is a risk management consulting firm that operates as a Top 100 agency, according to Business Insurance rankings. The firm focuses on delivering strategic value and risk analysis to its clients, moving away from transactional data entry through the adoption of advanced technology. Its leadership includes Wes Edrington, who serves as the Executive Vice President of Operations + Data.

Outmarket is an AI-native platform designed specifically for the insurance industry. Led by CEO and co-founder Vishal Sankhla, the company provides tools that automate complex document analysis and data extraction, aiming to solve operational bottlenecks within brokerages and agencies. Unlike general-purpose AI models, Outmarket’s technology is vertically integrated to understand the specific nuances of insurance workflows, carrier quotes, and policy documentation. The company has recently expanded its reach within the independent agency market, positioning itself as a specialist vendor for firms looking to modernize legacy core-system processes without the friction of traditional change-management hurdles.

What FF News has reported before

FF News has tracked Outmarket’s rapid expansion throughout late 2026. In September, the company announced it had secured $34.5M in Series B funding to scale its automation platform. This capital injection was followed by the launch of Outmarket Lite, a version of the software designed to bring AI-native workflows to smaller independent insurance agencies. More recently, FF News reported on a similar partnership where Outmarket AI slashed administrative time for commercial insurance associates, highlighting a consistent trend of the vendor targeting the "arts and crafts" inefficiencies inherent in brokerage operations.

What this means from an insurtech perspective

This partnership signals a shift in how brokerages handle the "middle office" burden. By reducing task times from hours to minutes, The MJ Companies is effectively lowering its cost-to-serve while increasing the speed of client delivery. For the broader industry, this puts pressure on incumbent legacy core-system vendors who have historically failed to provide this level of document intelligence. As AI-native tools become "talent amplifiers," the traditional brokerage model—which relies heavily on junior associates for manual data entry—is being forced to evolve. The real value for carriers and MGAs will be the increased accuracy and speed of submissions, potentially improving loss ratios through better risk analysis at the point of sale.