Intelligent Document/Content Processing with Gen AI for Insurance
Cognizant · Finance & Accounting
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
The Insurance industry faces a new future. Digitalization, competitiveness and customer expectations are converging to create an environment where the pace and precision of decisions will be key to success.
However, Insurance is document-heavy — valuable data points are often scattered across systems, hard to access. By unlocking the insights held in those documents it’s possible to transform the accuracy and speed of operations, to drive improvements in areas such as:
Show the rest of the publisher’s description (12 more lines)
- Claims processing
- Claims adjudication
- Document digitization
- Accurate underwriting
- Fraud detection & prevention
- Competitive premiums
- Invoice extraction and validation
- Policy matching
The challenge, however, often lies in how to access, extract and uncover the value from data and documents quickly and effectively. Intelligent Document Processing offers insurers a better way to turn raw documents into business
insights, using AI and Machine Learning. This enables business data to be processed and put to work faster, with minimal need for manual intervention.
At Cognizant we have developed our Intelligent Document Processing solution for Insurance, built on leading technology from Amazon Web Services (AWS) including Amazon Bedrock, to speed up operational processes, improve accuracy and reduce the need for manual input. As part of our solution, our team of consultants and SMEs will deploy our accelerator, and bring a balanced, integrated approach that combines Generative AI, Machine Learning and non-ML heuristics, always choosing the right tool for the job. This, combined with their deep understanding of different model types and how they complement each other, gives our solution the edge in terms of the content it can handle and the accuracy that can be achieved.
Our team and our approach enable us to quickly prove the feasibility and business case based upon a sub-set of your own documents. We can then support every step of the build process, through to testing and productionisation. The ultimate goal is to enable actionable insights and automate insurance processes at scale. By accelerating manual data extraction, our Intelligent Document Processing solution can help you get insight from your documents faster.
Highlights
Highlighted by the publisher on AWS Marketplace.
Intelligent Document Processing provides decision support tools that make data extraction faster & less error-prone
Uses the latest Generative AI technologies to process documents, images and videos
Highly secure and resilient to meet all your Data Privacy and Site Reliability needs
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-28
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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