AI Application Development

Intelligent document processing

Extract and summarize key points from contracts, reports and forms, and cut repetitive reading and data entry.

AI Enterpriseknowledge base Q&AAI KebaoIntelligentdocument processing

Common pain points

Large volumes of documents are read by hand

Data entry is repetitive and error-prone

Review standards are hard to keep consistent

What we deliver

  • Key point and field extraction
  • Long-document summaries
  • Rule-based risk alerts
  • Result export and system integration
Process

Delivery process

  1. 01

    Use-case assessment

    Map your business processes, find low-effort, quick-win use cases, and assess data readiness and feasibility.

  2. 02

    Proof of concept (POC)

    Validate on a small scale with real data. Confirm the results before you commit further.

  3. 03

    Build and launch

    Integrate with your systems and data, and set up permissions, auditing and deployment.

  4. 04

    Operate and improve

    Monitor results, update knowledge and models, and iterate based on feedback.

Recommended setup

We recommend deploying on premises with the AI Compute Appliance Pro 6000D and AI Inference Software, so data never leaves your premises. The exact configuration depends on user count and concurrency.

Before going live, we recommend deploying the AI Firewall to guard against prompt injection and data leakage.

Assess your Intelligent document processing use case

A consultant will reply during business hours (China Standard Time) with site, configuration and pricing recommendations.

Or email us at leo@hs.com.cn

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