Enterprise AI Use-Case Patterns
High-value enterprise use cases often share a common shape: many complex inputs, a short decision window, expensive omissions, and a need for both structured findings and follow-up questions. Once the reviewed sequence is stable, Workflows can coordinate its repeatable steps and approval points.
Pattern 1: Complex Document Review
Examples include due diligence, policy review, audit preparation, and technical assessment.
- Ingest approved documents through Data and preserve source identity.
- Extract relevant text, tables, and metadata.
- Organize the material into an access-controlled collection.
- Ask specialist agents to review defined risk areas.
- Produce a structured report with evidence links and open questions.
- Let qualified reviewers validate findings and make the decision.
Pattern 2: Requirements and Proposal Review
For tender, procurement, or proposal workflows:
- extract requirements, obligations, deadlines, and evaluation criteria,
- create a traceable requirements register,
- provide grounded question answering during preparation,
- compare the proposed response against the original requirements,
- flag missing, weak, conflicting, or unsupported sections,
- route final readiness and risk decisions to accountable reviewers.
Shared Architecture
The model is only one part of the solution. Reliable work also needs source processing, access controls, memory or retrieval, specialist instructions, tools, review checkpoints, and evidence in the final output.
Start Safely
Begin with a read-only pilot and a representative document set. Define what complete coverage means, test known hard cases, and measure reviewer acceptance and missed requirements. Do not promise that AI replaces legal, financial, security, or domain-expert judgment.
Ask an admin to approve sources and access before loading sensitive material through Data Governance. Follow Use Sources and Files for the day-to-day product workflow, then Repeat Work With Workflows only after the read-only pattern is stable.