Document Summarization

AI-powered automatic summarization of documents to improve efficiency and compliance

Business impact

• Employee Productivity — Reduces time employees spend reading and processing lengthy documents
• Compliance Adherence — Ensures consistent, auditable summaries supporting regulatory requirements
• Operational Efficiency — Speeds up workflows by automating document understanding and decision support

Data requirements

• Text documents (Text) — Primary input for summarization, including reports, emails, and transcripts
• Metadata and access logs (Structured) — Used to enforce role-based permissions and audit usage

AI methods and techniques

• Generative AI — Generates coherent abstractive summaries from unstructured text
• Predictive AI — Identifies key sentences and relevant content for extractive summarization
• Agentic AI — Automates workflow integration and user interaction for summarization tasks

AI models and model families

GPT-4o, Claude, Gemini, ChatGPT, Sarashina mini

Industries

Real-world evidence

7 documented case studies on record.

Companies using this: AIG, Capgemini SE, Citigroup, Diligent Entities, Git Lab, Simply IT, Soft Bank Corp.