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Readiness

Needs customization

Your team will need to adapt it before use.

4 use casesRefine these 4 in use cases →

Use cases tagged Needs customization

  • Choice between voice and text chat; the voice option says audio is sent to OpenAI.
    Open source

    Stage: PilotOrganization: Austin Public Health

    Voice intake assistant for service navigation

    Residents can talk instead of type: a realtime voice assistant asks the intake questions, matches services from the catalog, and builds the same service plan as the text chat.

    • Generative AI tool
    • Application or software
    Skills needed to set it up: Developer Readiness: Needs customization Data it touches: Personal information (PII) Who sees the output: Public-facing
  • Landing page headline with a Get Started button and a note not to share names or ID numbers.
    Open source

    Stage: PilotOrganization: Austin Public Health

    Austin Service Guide — AI-assisted service navigation

    Residents describe their situation in a short chat and get a ranked plan of local services they may qualify for, with hours, documents to bring, and a map.

    • Application or software
    • Generative AI tool
    Skills needed to set it up: Developer Readiness: Needs customization Data it touches: Public data only2 more
  • Map of Travis County ZIP codes shaded red to green by life expectancy, from 75.3 to 86.8 years.
    Open source

    Stage: PilotOrganization: Austin Public Health

    Austin Health Pulse — life expectancy explorer by ZIP code

    Result in one line: Built in about 12 staff hours, against a typical agency estimate of 6–8 weeks

    An interactive map and calculator showing how life expectancy and health indicators differ across Travis County's 63 ZIP codes, with an 11.6-year gap between the longest- and shortest-lived.

    • Dashboard or visualization
    • Data pipeline or integration
    Skills needed to set it up: Developer Readiness: Needs customization Data it touches: Public data only Who sees the output: Public-facing

  • Open sourceStage: In productionOrganization: Public Health – Seattle & King County

    Machine learning record linkage

    Efficient and accurate way to link identities across datasets

    • AI/ML model
    Skills needed to set it up: Analyst or data scientist Readiness: Needs customization Data it touches: Personal information (PII) Who sees the output: Internal staff