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Traditional underwriting processes—reliant on manual document handling, fragmented data, and outdated decision-making models—are no longer sustainable. Insurers must accelerate their underwriting workflows, improve risk assessment accuracy, and reduce operational inefficiencies to stay competitive.
Insurance companies have been forced to compromise for a long time. Legacy ingestion solutions have made organizations pick between either speed and accuracy, weighing risk versus revenue. Meanwhile, siloed data and fragmented systems makes accessing and analyzing information cumbersome, prone to errors, and exceedingly time-consuming. With Indico Data’s AI-driven technology, now you can automate intake workflows for even the most unstructured document types. So you never have to choose between speed and accuracy again.
That’s because Indico Data’s Decision Automation Platform empowers insurers with real-time, actionable insights from unstructured data—fueling smarter risk assessment, sharper claims evaluation, and streamlined policy management all at once. Our first-to-market Extractive and Generative AI solutions enable underwriters, claims handlers, and policy teams to make better decisions with better data.
By leveraging cutting-edge Extractive and Generative AI, insurers can:
Reduce time-to-decision with rapid, accurate data extraction
Eliminate manual document processing for improved efficiency
Enhance risk assessment and pricing accuracy using real-time insights
Scale underwriting workflows across all lines of business effortlessly
With Indico Data's Submission Ingestion and Underwriting Clearance & Triage solutions, carriers can automate the entire underwriting process—from submission intake to risk assessment and policy decisioning.
Insurance underwriting has long relied on manual, document-heavy submission ingestion processes that hinder efficiency and decision speed. Submissions arrive in unstructured formats, requiring underwriters to sift through emails, ACORD forms, loss-run reports, spreadsheets, and images before extracting key data for review.
What’s more, underwriters spend as much as 40% of their time on repetitive tasks like downloading submissions, manually typing data into underwriting platforms, and categorizing emails. These monotonous tasks not only delay decision-making but also take underwriters’ time and focus away from strategic, higher-value work.
This slow, error-prone approach leads to missed opportunities, inefficiencies, and increased underwriting risk assessment challenges. It’s clear that in today’s fast-paced insurance landscape, carriers need a more customizable, scalable, and explainable underwriting platform that eliminates bottlenecks, empowers underwriters, and accelerates underwriting decision-making.
With Indico’s Decision Automation Platform, insurers can transform outdated workflows into automated insurance underwriting processes that dramatically increase speed, accuracy, and operational efficiency while maintaining full visibility and confidence in every underwriting decision.
According to Deloitte, the insurance industry is undergoing a shift from hindsight-driven underwriting—relying solely on historical data—to foresight-driven risk modeling that leverages real-time analytics and AI-driven insights. Automation in insurance underwriting is no longer optional; it’s a competitive necessity.
AI-powered underwriting risk assessment allows carriers to process submissions faster and more accurately
Advanced insurance underwriting software enables real-time risk modeling with predictive analytics
AI in insurance underwriting ensures underwriters focus on high-value submissions instead of manual data entry
Insurance underwriting technology reduces underwriting leakage, improving quote ratios and loss ratios
Leading analysts agree: automation in underwriting is key to staying ahead. Deloitte highlights that underwriters must become data pioneers and technology trailblazers, leveraging artificial intelligence in insurance underwriting to enhance efficiency, reduce risk, and improve decision-making.
Insurers are overwhelmed with high-volume, complex underwriting submissions that require manual review, leading to inefficiencies, slow response times, and missed revenue opportunities. And they have the data needed to assess those submissions—but it’s in unstructured formats and spread across a web of siloes.
Without automation, insurers risk skyrocketing operational costs, inaccurate risk selection, and lower profitability.
Indico Data’s Decision Automation Platform eliminates these bottlenecks by delivering an AI-driven insurance underwriting solution, enabling insurers to process more submissions, more accurately, in less time.
Our platform leverages AI to take the millions of documents sitting in file stores—traditionally dark data—and turn them into decision-ready assets. This capability fundamentally changes how insurers approach underwriting, shifting from reactive processes to proactive decisioning that is faster, more precise, and scalable.
Don’t just take our word for it, though—industry experts agree that automated insurance underwriting is a strategic imperative. “Insurers that continue relying on traditional ways of underwriting could start a negative spiral that would be difficult to reverse,” Deloitte says.
Request a live demo.
Boost capacity and process more submissions
Unify data, score opportunities by risk appetite, and streamline decision-making
Eliminate manual triaging to respond to brokers faster than competitors
Seamless human-AI collaboration and full auditability
Win more profitable business
Remove manual processes and non-productive costs
Traditional underwriting processes rely on fragmented data and reactive risk modeling. AI transforms insurance underwriting technology by:
Standardizing decision-making through automated underwriting software
Ensuring compliance & traceability with AI-powered validation tools
Providing faster, more accurate underwriting recommendations
Indico Data enables insurers to move beyond traditional underwriting workflows—eliminating inefficiencies and driving new premium growth through automation.
Schedule a demo to see how Indico’s AI-driven underwriting technology powers smarter, faster decision-making through our commercial insurance underwriting software.
Indico Data’s Decision Automation Platform powers insurance carriers with:
A key element of Indico Data’s Decision Automation Platform, submissions ingestion is the process of ingesting, classifying, extracting, normalizing, and integrating accurate, structured data into the downstream system of your choice.
Underwriting triage is the first step in the underwriting process, where insurers quickly review and sort incoming submissions to determine which ones require immediate attention. Effective triage ensures that high-value opportunities are addressed first, preventing delays that could lead to lost business.
After triage, the process moves to underwriting clearance, where submission data is validated to make sure it aligns with the carrier’s risk appetite and underwriting guidelines. This often requires extracting key information from unstructured documents, cross-referencing historical data, and evaluating the submission against internal benchmarks and market trends.
Indico Data’s Decision Automation Platform enables insurance underwriting automation by integrating Extractive and Generative AI into every stage of the submission process. Our automated underwriting solution seamlessly handles unstructured documents, reducing human effort while improving accuracy and efficiency.
AI-powered underwriting risk assessment allows carriers to process submissions faster and more accurately
Automate intake of ACORD forms, loss runs, contracts, and policy documents
Use advanced automated underwriting software to instantly assess and prioritize submissions
Integrate seamlessly with Guidewire, Duck Creek, and other policy administration systems
Utilize agentic AI for risk scoring, validation, and real-time decisioning
With Indico’s decision automation solution, insurers can build out a risk assessment and underwriting insurance process that will boost underwriting capacity, streamline workflows, and unlock new premium opportunities without increasing headcount.
This is the kind of underwriting process automation analysts say is crucial for insurance companies today.
“Investments in new technologies are the best way to facilitate market access, risk selection and management, quality financial information and customer service capabilities.” PWC, Top Insurance Industry Issues in 2022.
See how industry leaders are solving dozens of use cases across multiple lines of business and saving millions with Indico Data’s Decision Automation Platform.
Indico’s pre-built underwriting automation solutions integrate seamlessly with existing systems, minimizing IT overhead and enabling insurers to:
Document ingestion
for underwriting
insurance underwriting
workflows with no-code
configuration
straight-through
processing with minimal
human intervention
Insurers adopting Indico’s automated insurance underwriting platform experience:
AI-powered insurance underwriting software is no longer a luxury—it’s the key to operational excellence, enhanced risk modeling, and long-term profitability.
Unlock the future of automated underwriting in insurance. Request a demo today.
Insurance underwriting automation isn’t just about efficiency—it’s about driving profitability and improving the policyholder experience. Insurers that embrace AI underwriting gain a competitive edge by delivering faster, more accurate decisions while reducing operational costs. According to Deloitte, advanced technologies can help underwriters develop new capabilities that make them more valuable to their own organizations as well as to customers:
As machine learning, virtual reality, and other digital advances increasingly automate the underwriting function, more evolved underwriters can take advantage of technology and newly developed skill sets to become more valuable to both their clients and employers. Leveraging real-time data, industry insights, and market-sensing capabilities, they could be better equipped to not just help customers manage risk, but also provide insight on how to avoid and prevent exposures.
