CIO-GOV-1 · CIO · AI Governance for Product Intelligence
AI Governance Layer
Audit-ready models
100%
from 20 %
Mean time to explain a decision
30min
from 240 min
Problem & Capability
What & howExecutive problem
Ungoverned AI on product data creates regulatory and reputational risk.
Capability
Controls product data lineage, traceability, regulatory validation, AI explainability and supplier trust scoring.
Outcome & Strategic Impact
Why it mattersBusiness outcome
Auditable, trustworthy AI for regulated industries.
Strategic impact
Required to win pharma, food and EU contracts.
KPI trajectory · Baseline → Target
ExhibitAI explainability — drivers, risks, next 90 days
Implementing an AI Governance Layer will enable Avery Dennison to deliver auditable, trusted AI solutions, unlocking regulated market opportunities in pharma, food, and the EU. This initiative directly supports growth by ensuring product data integrity and accelerating contract wins with compliance-driven customers. Achieving audit-ready, explainable AI will further differentiate our platform and expand recurring digital revenue.
Drivers
- Demand from regulated industries for traceable, compliant AI
- Competitive differentiation via supplier trust scoring and explainability
- Contract requirements from major customers (e.g., Walmart, adidas) for data governance
Risks
- Delayed implementation could forfeit regulated market contracts
- Insufficient integration with enterprise systems undermines trust
- Evolving regulatory standards may outpace governance capabilities
Next 90 days
- Define and align on AI governance KPIs and audit criteria with legal and commercial teams
- Pilot governance controls on atma.io with a top-10 pharma or food prospect
- Establish cross-functional task force to accelerate enterprise integration and regulatory validation