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Demo content Everything on this site is sample data shipped with the template. Configure it or follow the launch guide (opens in a new tab).

Types of AI

Document Q&A (RAG)

Answers questions from your own documents (retrieval-augmented generation).

3 use casesRefine these 3 in use cases →

Use cases tagged Document Q&A (RAG)

  • Clause summary table listing indemnification, data ownership and other clauses with plain-language summaries and comparison flags.
    Vendor product

    Contract clause summaries for procurement review

    Result in one line: Cut first-pass contract review from five business days to one

    Vendor tool that extracts clauses from scanned agreements, summarizes them in plain language, and flags gaps against our standard terms.

    • Finance, procurement & contracts
    • Legal & compliance
    Skills needed to set it up: Contractor or vendor Readiness: Needs a paid license Readiness: Needs a data agreement3 more
  • Grant narrative copilot

    Result in one line: Halved first-draft time on routine narrative sections, from about eight hours to four

    A vendor-hosted assistant grounded in our own program library, used by staff to draft first-pass narratives for federal funding applications.

    • Leadership & administration
    • Policy & planning
    • Finance, procurement & contracts
    Skills needed to set it up: Power user Readiness: Needs a paid license Readiness: Needs customization3 more
  • Onboarding checklist for a new inspector, grouped by before day one, day one, week one and week two, with progress tiles.
    Internal tool

    New hire onboarding checklist assistant

    Result in one line: Cut first-week help desk tickets from 11 to 3 per new hire

    Builds a personalized checklist for each new hire, opens the access requests it can, and answers policy questions from the staff handbook.

    • HR & workforce
    • IT & operations
    Skills needed to set it up: Power user Readiness: Guided setup Readiness: Needs customization4 more