Find the right public health AI workflow

Use this page to identify practical AI workflows for public health, nonprofit, university, coalition, and mission-driven settings.

AI works best when it is attached to a real task. The safest first workflow is usually narrow, repetitive, draft-friendly, easy to review, and useful enough to save time or improve clarity. Use the options below to choose a starting point.

Pro tip: workflows can be used to seamlessly build AI Agents

Start here

If your team is new to AI

Start with staff training and basic workflows such as prompting, meeting summaries, plain-language drafts, and article summaries. The goal is shared confidence and clear boundaries.
Recommended next step: Practical AI Staff Workshop

If you already know the workflow you want to improve

Start with a workflow sprint. The goal is to build one repeatable process with prompts, review steps, quality checks, and implementation guidance.

Recommended next step: Workflow Sprint

If you are considering a chatbot or assistant

Start with a controlled pilot plan. The goal is to define the audience, approved sources, boundaries, data quality, testing process, and evaluation plan before building.

Recommended next step: Knowledge Assistant or Chatbot Beta

Download the Workflow Scorecard
Book a Readiness Call

If you have several AI ideas but no clear priority

Start with a readiness sprint. The goal is to compare possible workflows, identify risks, and choose one practical first pilot.

Recommended next step: AI Readiness and Use-Case Prioritization Sprint

If staff are already using AI informally

Start with responsible AI guidance. The goal is to define expectations, review standards, disclosure language, and risk tiers before use expands.

Recommended next step: Responsible AI Starter Kit

If you are considering agentic AI (AI Agents)

Start with data and workflows. The goal is to validate the data, organize the data streams, and establish clear, stackable workflows. Start with small wins, human-in-the-loop integration, and intentional design.

Recommended next step: Data quality, workflow development, and stacked agents

Workflows (Flows)

The workflows below can be used for training, planning, pilot selection, agent formation, or future implementation. They are grouped by stage, so teams can start with the right level of complexity.

Beginner

  • Learn how to write clearer, more effective AI prompts for everyday public health tasks, from planning to drafting to problem-solving.

  • Build a practical foundation for using AI ethically, safely, and thoughtfully in public health settings.

  • Use AI to draft professional emails, summarize information, and turn meetings into clear notes and action items.

  • Create stronger first drafts of social media posts, flyers, newsletters, reports, and public-facing health messages.

  • Use AI to break down research articles, identify key findings, and translate academic language into usable summaries.

  • Identify practical ways AI can support your specific role, organization, or workflow in public health.

Intermediate

  • Ethically use AI to develop clearer grant narratives, organize proposal sections, and strengthen the connection between needs, activities, outcomes, and impact.

  • Summarize research, identify themes, compare findings, and turn evidence into practical summaries for planning or reporting.

  • Organize information about local programs, partners, services, and gaps to better understand community assets and needs

  • Create stronger survey questions, interview prompts, and data collection tools aligned with your program or evaluation goals.

  • Turn program updates, activities, and outcomes into polished reports, monthly summaries, and leadership-ready briefs.

  • Develop training outlines, slide content, handouts, discussion questions, and learning activities for public health audiences.

  • Summarize policies, guidance documents, and recommendations into clear takeaways for teams, partners, or decision-makers.

  • Review AI-generated work for accuracy, clarity, bias, privacy risks, and appropriate human oversight before using or sharing it.

Advanced

  • Plan a chatbot tailored to your agency’s data, needs, audience, services, and communication goals.

  • Create basic policies, expectations, and review processes for safe and responsible AI use across a public health organization.

  • Organize internal documents, FAQs, resources, and guidance so AI tools can retrieve more accurate and useful information.

  • Map out how an AI tool or workflow will be introduced, tested, monitored, and evaluated for real-world usefulness.

  • Review existing or proposed AI workflows for accuracy, privacy, bias, staff burden, and potential risks before implementation.

  • Design a custom AI assistant for a specific team, program, or public health use case using approved knowledge and workflows.

  • Create a step-by-step plan for introducing AI across an agency in a practical, responsible, and sustainable way.

  • Rapidly identify priorities, opportunities, risks, and next steps for using AI within a public health organization

Choose the right workflow before choosing the tool.

The Public Health AI Workflow Scorecard can help your team compare options and identify the safest first pilot.

Download the Workflow Scorecard
Book a Readiness Call