Foresters Financial automates document indexing and data entry with AI-powered hyperautomation

Foresters Financial, a financial services organization with over 150 years of history specializing in life insurance solutions, faced a persistent operational drag from manual document processing. Staff were spending significant time on low-value tasks — specifically, indexing incoming documents and manually keying demographic and application data into source systems for New Business workflows. In an industry where accuracy and speed directly affect policy issuance timelines and client satisfaction, error-prone manual data entry creates downstream risk. The opportunity cost was clear: skilled employees were tied to repetitive input work instead of client-facing activities where they could deliver measurable value.

Foresters Financial deployed Hyperscience's hyperautomation platform to replace manual document indexing and data entry across their New Business application intake process. The platform applies NLP and intelligent document processing to automatically classify incoming documents, extract relevant data fields, and generate workflow tasks for downstream source systems — eliminating the need for human keying at each step. Hyperscience's team provided hands-on support throughout implementation, ensuring the platform integrated cleanly with Foresters Financial's existing systems. The intuitive interface reduced the learning curve for staff, and the accuracy of automated extraction met or exceeded what manual processes had delivered. The deployment demonstrated that legacy financial services infrastructure could absorb modern automation without disruptive rearchitecting.

The automation of document indexing and data entry allowed Foresters Financial to redeploy staff away from repetitive input tasks toward higher-value, client-focused work — the stated primary objective of the initiative. Key outcomes included:

• Workforce redeployment: Employees previously occupied with manual data entry were reassigned to client-centric and value-added functions
• Improved accuracy: Automated extraction reduced the error rates inherent in manual demographic keying
• Operational efficiency: End-to-end New Business application processing became faster and less resource-intensive
• Exceeded expectations: Integration accuracy and platform performance surpassed pre-deployment benchmarks

The results were strong enough that Foresters Financial expressed intent to expand their investment in the Hyperscience platform beyond the initial use case.

• Automating document intake and data entry in financial services delivers compounding returns: lower error rates, faster processing, and freed workforce capacity simultaneously.
• Seamless integration with existing source systems is a prerequisite — platforms that require significant rearchitecting face adoption resistance in regulated industries.
• Vendor support quality during implementation is a material success factor; hands-on expertise reduces time-to-value and builds internal confidence.
• Early wins create organizational momentum — scoping an initial deployment around a well-defined, measurable use case accelerates buy-in for broader rollout.
• For MidMarket insurers, hyperautomation ROI is often realized through workforce redeployment rather than headcount reduction.