What we've automated

fileAI <> insurance teams

fileAI automates highly manual workflows, scaling capacity while maintaining headcount.

Autonomous claims processing

fileAI ingests, digitizes and assesses claims applications from online and offline channels. Details are captured, extracted, and assessed, triggering custom downstream workflows.

Underwriting and risk assessment

fileAI extracts and assesses data from applications, pulling from historical data to predict risks more accurately and allowing insurers to tailor coverage options and pricing, as well as provide quotes and bind coverage in minutes instead of days.

Claims <> Policy
matching and assessment

fileAI instantly assesses incoming claims applications within seconds, chases for missing data from the applicant and eliminates manual handling of claims for good.

How it works

Spend less time inputting data, and more time developing insights into action.

fileAI unlocks the value stuck within unstructured data and operationalizes it,
enabling you and your team to focus on what really matters.

Extract

From a simple invoice to an unstructured handwritten document, fileAI extracts, structures, and and enhances your data, in 90% less time than it would take for you to do it yourself.

Automate

Post-data processing, fileAI validates, tags, and classifies data based on your existing workflows. Seamlessly automate your data into downstream systems with our no-code plug and play integrations.

Analyze

Automate complex matching and comparison workflows of long-form documents across industries and business functions. fileAI flags inaccuracies and inconsistencies, update file information based on newly received data, and ensures compliance with company policies.

Enterprise-grade security and compliance

Upholding strict data security and privacy standards is at the core of everything we do at fileAI.

With SOC2 Type 2 compliance, ISO 270001 certification, as well as HIPAA and GDPR adherence, you can trust fileAI’s robust security controls to protect your data and mitigate information security risks.