AI STRATEGY
Establish AI Quality Standards
Build Shared Understanding Across Teams
Your AI quality standards are only effective if the whole organization understands and believes in them. Early and regular stakeholder involvement makes AI more trustworthy and aligned.
Why it's Important
Surfaces hidden risks and assumptions
Aligns AI behavior with brand and user experience
Reduces rework from late-stage disagreements
Builds trust in AI’s role within the org
Improves regulatory and ethical readiness
How to Implement
Identify key stakeholders (legal, UX, product, leadership)
Host discovery interviews to learn their concerns
Share working drafts and get feedback
Use visual examples to explain outputs and risks
Invite stakeholders to grading sessions
Update documentation based on feedback
Keep communication lines open for post-launch feedback
Available Workshops
AI Quality Roundtable (cross-functional)
Alignment Mapping Exercise
Customer Impact Brainstorm
Output Risk Walkthroughs
Team Playback Sessions
"What Would You Do" Scenario Debates
Deliverables
Stakeholder interview notes
Meeting summary decks
Updated rubrics and scorecards with stakeholder input
Email or meeting sign-off logs
Feedback backlog with prioritization
How to Measure
Number of stakeholders involved
Feedback incorporated per iteration
% of teams trained on rubric use
Quality issues surfaced pre-release
Time saved from fewer late-stage reworks
Internal satisfaction score (surveys)
Reduction in misunderstanding or misuse of outputs
Pro Tips
Invite stakeholders to observe real model demos
Share before-and-after examples showing rubric impact
Highlight metrics that matter to each stakeholder group
Turn early input into long-term champions
Build a shared glossary to reduce confusion
Get It Right
Use clear language and real examples
Involve a variety of roles—not just technical ones
Document what decisions were made and why
Acknowledge and resolve disagreements transparently
Make stakeholder input an ongoing loop
Don't Make These Mistakes
Treating stakeholder involvement as a one-time task
Excluding customer-facing or legal teams
Using jargon-heavy documentation
Failing to show how feedback influenced the process
Waiting until launch to involve stakeholders