Responsible AI Starter Kit
Give your team clear expectations before AI use becomes confusing, inconsistent, or risky.
The Responsible AI Starter Kit helps public health and mission-driven organizations create practical guidance for staff AI use, including risk tiers, human review expectations, disclosure language, and workflow-specific guardrails.
Staff are already experimenting. The question is whether expectations are clear.
Many organizations do not need a long AI policy project to begin. They need practical internal guidance: what staff can use AI for, what data should not be entered, which outputs need review, what should be disclosed, and when a workflow needs additional approval.
This is a good fit if your organization:
Has staff already using AI tools informally
Wants simple guidance before adoption grows
Needs risk tiers and review expectations
Wants to avoid sensitive data mistakes
Needs staff training language and disclosure examples
Wants practical guardrails without overcomplicating the process
What is included?
The Starter Kit may include:
Practical AI use guidance for staff
Low, moderate, and higher-risk workflow categories
Human-review checklist
Sensitive data guidance
Disclosure language examples
Approved-use and avoid-use examples
Staff orientation slide deck or handout
Recommendations for future workflow review
Process
Step 1: Understand current AI use
We discuss how staff are currently using AI, where confusion exists, and which use cases are most likely to emerge.
Step 2: Define practical guardrails
We create clear expectations for data handling, review, source use, public-facing outputs, and higher-risk workflows.
Step 3: Build staff-facing materials
We turn the guidance into usable language, checklists, and orientation materials.
Step 4: Support rollout
We review the guidance with leadership or staff and identify next steps for training or workflow-specific implementation.
Deliverables
Responsible AI guidance document
Risk tier framework
Human-review checklist
Disclosure language options
Sensitive data warning language
Staff orientation material
Recommended next steps
Timeline and pricing
Typical timeline: 2-3 weeks
Typical range: $2,000-$9,000 depending on scope, customization, and number of review rounds
Final pricing is quoted after discovery.
Want practical, responsible AI guidance for your team?
Book a readiness call to discuss your current AI use, risk concerns, and the level of guidance your organization needs.