Public Health AI Workflow Scorecard

Choose the right AI workflow before your team wastes time on the wrong one.

This free scorecard helps public health managers, analysts, educators, nonprofits, coalitions, and mission-driven teams identify which AI workflows are realistic, reviewable, and safe enough to pilot first. Don’t forget to tell us how it worked, we love hearing from people using it in the field.

A simple way to compare AI use cases

Most public health teams do not need a giant list of AI ideas. They need a practical way to decide which workflow is worth testing first. The Public Health AI Workflow Scorecard helps teams compare candidate workflows based on usefulness, repeatability, source clarity, human review, risk, and implementation feasibility.

Use it before choosing a tool, launching a pilot, or asking staff to change how they work.

What the scorecard helps you assess

  • Whether the workflow is repetitive enough to matter

  • Whether the first output can be treated as a draft

  • Whether the source material is clear and approved

  • Whether a human can review the output efficiently

  • Whether the workflow can start without sensitive data

  • Whether the use case is narrow enough for a realistic first pilot

  • Whether the task has enough value to justify time and attention

Who it is for

  • Public health managers and directors

  • Epidemiologists, analysts, and evaluators

  • Health educators and community health workers

  • Faculty and training leads

  • Nonprofit and coalition staff

  • Recovery and resource-navigation teams

  • Mission-driven organizations doing public health-adjacent work

What you get

  • A straightforward scoring worksheet

  • A practical interpretation guide

  • Example criteria for common workflow types

  • A decision aid for choosing a first pilot

  • A language framework for discussing risk and feasibility with your team

What makes a good first AI workflow?

  • Meeting notes to action summary

  • Dashboard narrative draft

  • Staff training handout draft

  • Evidence-to-brief workflow

  • Community resource guide workflow

  • Grant narrative planning support

  • Policy or guidance summarization

  • Internal FAQ or knowledge-base assistant

  • Agentic AI process

What makes a good first AI workflow?

A good first workflow is repetitive, draft-friendly, easy to review, low enough risk to pilot safely, and understandable to the people who will actually use it. Early success usually comes from narrow, visible workflow improvements rather than flashy automation.

Want help choosing the right pilot?

If your team has several possible AI use cases and needs help narrowing them down, Backyard-AI can help you score candidate workflows, define guardrails, and choose a realistic first pilot through an AI Readiness and Use-Case Prioritization Sprint.

Ask About a Readiness Sprint

Download the no cost scorecard

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Scorecard PDF