Firm’s AI-based automation workspace
designed to eliminate manual processes and improve workflow
By Lori Widmer
When an industry has an ages-old issue of too many manual processes, it’s always exciting when someone develops technology to address that issue. Yet the issue of reading insurance documents and extracting the right data remained a tedious part of an insurance professional’s daily tasks.
FurtherAI is poised to remove that tedium. An AI-based workspace for insurance, FurtherAI brings a double-punch product that removes the manual burdens that agents and their teams face while also automating recurring processes. Boasting 95% accuracy on policy comparison workflows, FurtherAI employs AI agents through workflows to compare policies, improve compliance audit speed, and give underwriters more time for critical tasks by automating document extraction.
“FurtherAI removes operational busywork from insurance workflows across brokers, MGAs, and carriers,” says Aman Gour, FurtherAI CEO. “The workspace reads insurance documents, extracts and enriches key data, and produces structured outputs so insurance professionals can move directly to decision making instead of manual processing.”
Built in close collaboration with leading insurance entities to reflect the real operational workflow of the industry, FurtherAI introduces an AI assistant and AI workflow capabilities designed to recapture hours of time otherwise lost to manual processing.
While the product can support multiple lines of business, Gour says it is most used in the property/casualty and employee benefits areas. Organizations, he says, have used it in their submission processing, appetite checks, policy comparisons, proposal generation, and loss run analyses.
Implementation, Gour explains, starts with “a focused pilot on a single high-volume workflow, typically policy checking or proposal generation.” Integrating directly into existing systems, FurtherAI layers on top of workflows “without requiring teams to change how they worked.”
Once the pilot launch is completed, Gour says, “expansion across lines of business happens naturally as results compound, with deployments delivering 20 times faster policy checks and up to 95% reduction in manual review time.”
What users say
For Laurie Flanagan, chief project officer at insurance broker Leavitt Group, FurtherAI’s capabilities couldn’t have come at a better time. Facing increased operational strain stemming from manual processes and “significant data entry, fragmented workflows, and team members spending too much time on repetitive service tasks instead of high-value client interactions,” the company needed more than just a product. “We sought a partner that could collaborate closely with us to apply AI in a practical, workflow-driven way.”
When selecting any vendor or product, Leavitt Group applies an extensive, thorough vendor selection process that measures competitors, the AI foundation of each platform, the vendor’s long-term vision, the product’s flexibility to customize, ease of adoption, and more. FurtherAI was measured against those criteria. “We also did a significant amount of research in advance and refined our requirements,” says Flanagan.
It’s something that Flanagan says may help others who are looking to select an AI-based workflow solution. “One lesson learned: Don’t just evaluate AI features; evaluate the solution on agency fit and focus. Many solutions offer broad AI capabilities, but we needed something purpose-built for insurance operations, coupled with flexibility, to meet Leavitt Group’s specific use cases,” she says.
“FurtherAI … reads produces structured outputs so insurance professionals can move directly to decision making instead of manual processing.”
—Aman Gour
Chief Executive Officer
FurtherAI
Choosing the right solution is often an arduous process. Flanagan shares her own insights into making the process easier. “Start with a clear problem you are seeking to resolve so you have a practical solution the team can leverage to immediately see results.”
Also, understand what it is that AI can and should not do. She advises that agents and brokers “view AI as an augmentation tool rather than a replacement strategy. Insurance is a relationship business, so the goal isn’t to remove humans, it’s to free people up to do more of the relationship-driven work.”
“View AI as an augmentation tool rather than a replacement strategy. Insurance is a relationship business, so the goal isn’t to remove humans, it’s to free people up to do more of the relationship-driven work.”
—Laurie Flanagan
Chief Project Officer
Leavitt Group
She also emphasizes the need to understand who you’re buying from. “Select a partner that understands your business, your culture, and is industry specific. Our business is unique and solutions must reflect that reality.”
Most of all, don’t be afraid of AI-driven solutions. “I would encourage agencies to be proactive in AI. It’s a present-day operational advantage, not something in the future, so don’t hesitate to begin building AI skills,” Flanagan says.
Gour echoes Flanagan’s assessment. “Insurance professionals carry significant responsibility for their clients, their teams, and the decisions they make every day. What hasn’t kept pace is the infrastructure supporting it. FurtherAI was built to close that gap, giving insurance teams an AI workspace that handles manual, document-heavy workflows so their expertise goes toward clients and decisions, not paperwork.
“For organizations like Leavitt Group,” Gour says, “that means account managers and producers doing the work only they can do. The work hasn’t changed. The tools finally have.”
The author
Lori Widmer is a Philadelphia-based writer and editor who specializes in insurance and risk management. BrokerTech Spotlight articles look at insurtech offerings from startups that have partnered with BrokerTech Ventures (BTV), a convening platform for brokers, carriers and wholesalers, and tech firms, and includes insight from other BTV member owners.
