Co-Pilots and Agentic AI in Insurance: Delivering Excellence Across the Underwriting Value Chain

Insurance

June 20, 2025

Offshore business process services dominated the insurance industry’s back office, providing essential support through manual workflows and manual operations, traditionally. Industry 4.0 revolutionised business landscapes across industries and we are witnessing a seismic shift as AI-driven automation redefines these practices, transforming workflows and elevating the standards for delivering value.

Traditional underwriting methods, often reliant on human judgment and labour-intensive processes, are being rapidly transformed by cutting-edge technologies such as Agentic AI in insurance, Co-Pilot frameworks, and data-driven innovations. At Hexaware, we are proud to be at the forefront of this revolution, empowering insurers to embrace a future where technology meets efficiency.

The Shift from Manual to AI-Driven Processes

Historically, the insurance underwriting process has relied heavily on manual tasks, human judgment, and siloed operations. As AI and automation take center stage, we see significant opportunities to address long-standing inefficiencies and limitations.

Process Inefficiencies

  • Human Error: Manual data entry and analysis often lead to inaccuracies, which can negatively impact risk assessment and pricing decisions.
  • Time-consuming Workflows: Underwriting involves extensive data collection, validation, and analysis, which slows down decision-making and delays policy issuance.
  • Limited Scalability: Traditional processes struggle to scale efficiently during peak submission periods or market expansion phases.
  • Inefficiency in Complex Cases: High-value or intricate submissions frequently require manual intervention, leading to delays in processing and prioritization.

Data Challenges

  • Data Orchestration Gaps: The absence of a unified platform for aggregating internal and external data sources hampers comprehensive risk insights.
  • Limited Visibility: The inability to generate timely and comprehensive reports restricts data-driven decision-making.
  • Document Management Inefficiencies: Legacy methods of document generation, handling, and storage are often time-consuming and error-prone.

Experience Gaps

  • Fragmented User Experience: Multiple systems and inconsistent workflows create friction for underwriters, brokers, and other stakeholders.
  • Suboptimal Internal Collaboration: Reliance on disparate tools reduces transparency and complicates teamwork across the value chain.

A New Competitive Equation in Insurance

The insurance industry is being reshaped by the collision of three major forces: brokers, business process service (BPS) providers, and AI vendors. Each plays a distinct role, but their interactions create a dynamic environment of disruptions and opportunities.

Transforming Insurance Underwriting with Hexaware’s Solution Offering

At Hexaware, we view insurance underwriting as a strategic enabler. By combining process optimization, technology enablement, and data intelligence, we empower underwriters to achieve higher efficiency, improved customer satisfaction, and accelerated top-line growth. Backed by real-world success stories, our solutions have transformed insurance underwriting practices for leading commercial and specialty insurers worldwide. Below, we align each benefit of our offerings with results from Hexaware’s case studies.

Driving Top-Line Growth

  • Higher Quote-to-Bind Ratios
    By equipping underwriters with AI-driven tools to quote accurately, Hexaware has enabled a leading commercial and specialty insurer in the UK to achieve up to a high conversion rate. This improvement directly resulted in significant revenue growth and better alignment with underwriting strategies.
  • Market-Specific Strategy Diversification
    Hexaware’s customizable solutions allow insurers to tailor underwriting approaches to specific markets and trends. This has empowered businesses to expand strategically while aligning with market-specific opportunities.
  • Optimized Submission Management (80% Prioritization Accuracy)
    With AI-driven prioritization, underwriters can now focus on high-value submissions, maximizing Gross Written Premiums (GWP). For a prominent UK-based insurer, Hexaware’s solution delivered 80% prioritization accuracy, ensuring that resources were allocated to the most impactful submissions.

Enhancing User Satisfaction

Let’s explore how Hexaware enhances user satisfaction for both internal underwriters and external stakeholders:

Internal: Underwriters

  • 75% Workflow Efficiency
    Hexaware’s innovative workflows and intelligent tools have significantly boosted underwriter efficiency, achieving a 75% increase in workflow efficiency for one of the UK’s leading commercial and specialty insurers. This improvement enables underwriters to make faster decisions, which not only enhances their productivity but also leads to greater job satisfaction. By reducing the time spent on manual tasks, underwriters can focus more on strategic decision-making and value-added activities.

External: Brokers, MGAs, and Agents

  • Brokers and MGAs: Improved Visibility for Trust and Transparency
    Brokers and MGAs have benefited from enhanced visibility into underwriting appetites and faster quote generation, fostering trust and transparency across the value chain.
  • Agents: 80% Quote Accuracy
    With a focus on delivering accurate and competitive quotes, Hexaware’s solutions strengthened client relationships and improved service quality. For a leading commercial broker, this has resulted in 80% quote accuracy, creating a competitive advantage in their market.

Achieving Operational Efficiencies

  • Appetite Decision Speed
    Tools like Agentic AI in insurance underwriting have empowered underwriters to make appetite decisions swiftly, freeing up time for high-value analysis.
  • Automated Triage (90% of Initial Triage Automated)
    Hexaware’s advanced AI solutions automate 90% of initial triage for complex accounts, ensuring timely prioritization. This automation has been successfully deployed at a leading UK insurer, streamlining their underwriting operations.

Accelerated Processing

Hexaware has successfully accelerated processing for one of the leading commercial and specialty insurers in the UK, demonstrating the transformative impact of underwriting AI agents.

  • Up to 30% Faster Quote Issuance and 50% Reduction in Manual Data Entry Errors
    By harnessing AI tools like Agentic AI in insurance, Hexaware has empowered insurers to achieve 30% faster quote issuance. This acceleration is made possible through automated workflows that significantly reduce the potential for human error, leading to enhanced operational accuracy.
  • Swift Escalations (High-Exposure Submissions Within 12 Hours)
    AI-powered workflows ensured that high-exposure submissions were flagged and escalated to underwriters within 12 hours, improving critical decision-making timelines.
  • Automation at Scale
    Agentic AI automated compliance checks, risk assessments, and pricing, significantly reducing manual effort and errors while scaling operations seamlessly.
  • Integrated Workflows (80% Workflow Integration)
    By unifying broker, MGA, and underwriter interactions into a single platform, Hexaware’s digital solutions eliminated redundancies and improved collaboration.

Maximizing Data Efficiencies

  • Centralized Data Management (up to 90% Data Consolidation)
    Hexaware eliminated data silos for a leading commercial and specialty insurer, achieving up to 90% consolidation. This ensured a single source of truth for all operations, improving decision-making across the board.
  • Enhanced Data Accuracy (up to 95% Data Quality Improvement)
    AI-driven validation tools, such as Agentic and Generative AI, drastically improved data accuracy, reducing errors in decision-making. For one of Hexaware’s clients, data extraction from unstructured internal and external sources saw a remarkable 95% accuracy improvement.
  • Predictive Analytics for Optimized Pricing and Risk
    Hexaware’s advanced models provided actionable insights, enabling insurers to optimize pricing strategies and proactively identify risks through predictive analytics in underwriting.
  • Real-Time Data Access
    With cloud-based solutions, insurers gained instant access to critical data insights, driving faster and more informed decisions.

The Path Forward

As brokers expand their operations, business process service providers adapt, and AI vendors continue to innovate, the insurance industry is moving away from traditional workflows and placing a greater emphasis on building meaningful customer relationships.

In this evolving landscape, success will depend on the ability to adapt quickly to change, embrace new technologies, and focus on enhancing the customer experience. AI-driven automation presents an opportunity for insurers to improve operational efficiency and accuracy, ultimately benefiting their clients.

At Hexaware, we are committed to supporting insurers as they navigate these changes and tackle the complexities of transformation. The future of underwriting is unfolding, marked by advancements such as our Digital Twin initiative. Contact us to learn how Hexaware can partner with you to foster insurance industry innovation, explore new opportunities, and contribute to the ongoing evolution of the insurance industry.

About the Author

Supriya Kulkarni

Supriya Kulkarni

Digital Transformation Leader - Insurance

Supriya Kulkarni brings over two decades of customer engagement and transformation experience in the BFSI and Shared Services industries, covering business and digital transformation, consulting, and complex solutions for innovation management. In her current role at Hexaware in London, she leads the underwriting transformation across all insurance sectors, including Commercial and Specialty. She also holds credentials such as CF1 and FA1, along with EDPT from IIM.

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FAQs

Agentic AI is transforming insurance underwriting processes. It leverages underwriting AI agents to analyze vast amounts of structured and unstructured data, such as geospatial data, historical claims, and IoT feeds, to make real-time data-driven decisions. These AI agents streamline workflows and improve operational efficiency, enabling insurers to offer more personalized policies while optimizing risk management. 

Agentic AI integrates predictive analytics in underwriting to enhance the accuracy of risk evaluations. It allows insurers to dynamically simulate potential risks and adjust policies, resulting in faster, precise underwriting decisions, reducing human error, and improving customer satisfaction. Additionally, centralized data management enables insurers to consolidate and analyze data from multiple sources, further enhancing the efficiency and accuracy of underwriting processes.

Agentic AI in insurance improves risk assessment in underwriting through advanced AI frameworks that automate complex tasks and provide actionable insights. Here are the ways Agentic AI enhances risk assessment:

  • Real-Time Decision-Making: With access to real-time data feeds, such as IoT and geospatial data, underwriting AI agents can dynamically update risk levels and provide instant recommendations, ensuring that insurers respond quickly to changing circumstances and improve operational efficiency.
  • Enhanced Predictive Analytics in Underwriting: Agentic AI uses machine learning algorithms to accurately predict future risks. It analyzes historical data and real-time inputs to identify patterns and trends, helping insurers anticipate potential issues and adjust risk-based pricing accordingly.
  • Reduction of Human Bias: Agentic AI relies on data-driven insights to minimize subjective judgment in underwriting decisions, leading to fairer and more consistent outcomes.
  • Centralized Data Management: Agentic AI consolidates data from multiple sources into a single platform, ensuring that underwriting decisions are based on comprehensive and accurate information, further improving risk assessment.
  • Streamlined Workflows: Agentic AI automates repetitive tasks, such as document analysis and claims processing, reducing the workload on human agents and freeing them to focus on more strategic tasks. This not only improves efficiency but also enhances the overall customer experience.

The future of risk assessment in insurance underwriting will be defined by insurance industry innovation driven by Agentic AI. Here’s how AI will shape the landscape:

  • Improved Operational Efficiency: By automating complex underwriting tasks and integrating centralized data management, AI will significantly reduce processing times and operational costs, making insurance underwriting more scalable and efficient.
  • Proactive Risk Management: Agentic AI in insurance underwriting will enable insurers to adopt a “predict and prevent” approach, where risks are identified and mitigated before they materialize. This shift will reduce claims and improve overall risk management.
  • Personalized Policies: With advanced predictive analytics in underwriting, insurers will be able to offer highly customized policies tailored to individual customer needs. This level of personalization will enhance customer satisfaction and retention.
  • Ethical and Transparent Underwriting: As AI continues to evolve, there will be a greater emphasis on ensuring transparency and fairness in underwriting decisions. This will address concerns about algorithmic bias and build trust with customers.
  • Real-Time Adaptability: AI frameworks will allow insurance underwriting processes to adapt to new data inputs in real-time, ensuring that risk assessments remain accurate and up-to-date even in rapidly changing environments.

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