How will AI affect the insurance industry?
Insurance is a complex and highly regulated industry, and as a result, tends to be cautious when it comes to new technologies.
Surrounded by AI hype, it’s tempting to dive in headfirst, but careful planning and a strong foundation are both necessary. While insurance must move forward, we encourage companies to view AI as a tool like any other – and keep human expertise at the center. At ReSource Pro, we take a three-pronged approach to help our clients fully leverage AI: Integrate, Optimize, Digitize.
Integrate
Optimize
Digitize
“AI isn’t new in insurance. The biggest challenge that carriers and agencies face is the fragmented and complex nature of the industry itself. To get true business value out of AI, insurance organizations must first lay the proper foundation.”
Dan Epstein
CEO, ReSource Pro
CEO perspective:
Real AI use cases in insurance
How ReSource Pro experts helped three clients on their digital journey
Integrate
The client: A multi-billion dollar insurance carrier
The challenge: Guidewire system conversion was necessary but costly and time-consuming, with manual entry required.
How we helped: Our experts stepped in to streamline the systems integration process, creating a tailored automation solution.
The impact: Reduced the manual impact of SMB phase from $1.5 million to $700 thousand.
Optimize
The client: A leading independent insurance wholesaler and underwriting manager
The challenge: Personnel across 40+ offices were spending too much time on binding activities, taking away bandwidth for higher level tasks. Without a standardized process, there was no way to automate.
How we helped: Our team assessed current binding processes across 5 regions, developing a standardized procedure and rollout plan. Half of binding activities were transitioned to our BPM team, with monitoring mechanisms implemented to review adoption rate and progress.
The impact: 75,000 hours and $1.1 million saved, achieved an overall quality level of 99.95%, and set the client up for success to automate the process in the future.
digitize
The client: Insurance broker focused on mid-size and top 100
The challenge: Time-consuming direct billing process was inefficient and too costly.
How we helped: Leveraging ReSource Pro’s AI-powered solution, Direct Bill Complete, the team helped to digitize and streamline the client’s direct billing process.
The impact: 35% cost reduction.
Our latest research
How are insurance companies using AI today?
- Discover the differences between “classic AI” and “deep AI”
- Learn about the current state of AI maturity for all insurance segments, from distribution to claims
The most promising AI applications for insurance
- Retail agencies and brokers
Enhanced staff expertise, personalized customer experiences, “smart” automation, and new business models
- MGAs and wholesalers
More tailored insurance solutions, smarter underwriting, and agile operations
- Carriers
Product innovation, faster submission processing, precision underwriting, and automated claims handling
Browse our latest insights on AI and related technologies
Made for you
When it comes to implementing artificial intelligence, every organization faces its own unique obstacles. We’ve created tailored solutions that solve for your most complex challenges, powered by AI and verified by human experts.
Retail agents & brokers
Will AI replace insurance agents? Never – but coupled with our years of insurance expertise, AI-powered tools allow your people to focus on higher-skill activities.
Policy Insights® ExpressCheck
- Insurance policy automation solution streamlines and automates policy checking
- Draws from 20+ years of experience in complex policy checking services
- Self-service, AI-driven model: The solution is in your hands
Direct Bill Complete
- Streamline direct bill reconciliation process
- End-to-end, AI-driven support – with human in the loop
Carriers, MGAs & wholesalers
AI is a powerful co-pilot to your expertise, letting you streamline repetitive tasks, customize client experiences, and automate data processing to help with decision making.
- Improve and speed up underwriting risk analysis
- Enhance your compliance process
- Streamline your submissions workflow
AI in Insurance FAQs for Carriers, Agencies, and MGAs
Understand AI's role, benefits, and implementation requirements across insurance operations.
Understanding AI in Insurance
What is “AI in insurance,” and why are insurers adopting it now?
AI in insurance refers to using artificial intelligence such as machine learning, natural-language processing, and workflow automation, to improve operational efficiency, accuracy, and decision-making. Insurers are adopting AI now because talent shortages, rising workload complexity, and inconsistent processes make manual operations unsustainable.
What operational problems does AI solve across insurance organizations?
AI reduces manual effort, speeds up data processing, and minimizes duplicated work. It helps eliminate bottlenecks like submission backlogs, intake delays, and inconsistent underwriting decisions. Learn more in our State of AI in P&C Insurance research report.
Which insurance functions benefit the most from AI?
AI strengthens core insurance workflows including:
Underwriting triage
Claims intake
Policy servicing and document handling
Accounting and reconciliation
Customer support operations
Learn more on our AI & Intelligent Automation for retailers and AI & Intelligent Automation for carriers pages.
What does an insurance organization need before AI can work effectively?
AI works best when an insurance organization has clean data, standardized processes, clear workflow ownership, and strong governance. When these foundational elements are in place, AI can be applied effectively and scaled with confidence. Together, these elements create the foundation of ReSource Pro’s Integrate → Optimize → Digitize readiness model.
How should insurers think about data quality when preparing for AI?
High-quality data is essential for AI accuracy. This includes structured formats, consistent definitions, reduced duplicates, and digitized documents. Organizations that improve data quality prior to AI adoption see stronger ROI and fewer downstream issues.
Implementing AI in insurance
How does ReSource Pro guide insurers through successful AI adoption?
ReSource Pro aligns AI adoption with business operations through a three-step approach:
- Integrate – Create a foundation with unified workflows and systems
- Optimize – Standardize and enhance processes to remove friction
- Digitize – Apply automation and AI where it measurably improves performance