CIO-INT-1 · CIO · AI-Powered Integration Intelligence
Integration Copilot
Customer onboarding time
21days
from 90 days
Integration incidents
25index
from 100 index
Problem & Capability
What & howExecutive problem
Integrations across SAP, Oracle, Salesforce, Manhattan, PLM, MES and RFID are brittle.
Capability
Auto-map integrations, detect API failures, predict issues, orchestrate cross-system workflows.
Outcome & Strategic Impact
Why it mattersBusiness outcome
Lower integration TCO and faster onboarding.
Strategic impact
Accelerates customer go-live for Intelligent Labels.
KPI trajectory · Baseline → Target
ExhibitAI explainability — drivers, risks, next 90 days
Integration Copilot will materially reduce integration costs and accelerate customer onboarding for Intelligent Labels by automating and governing data flows across core enterprise platforms. This initiative positions Avery Dennison to deliver faster go-live, driving higher customer satisfaction and recurring digital revenue. Achieving a 75% reduction in onboarding time and incident rates will reinforce our leadership in connected packaging.
Drivers
- Automated mapping and orchestration across SAP, Oracle, Salesforce, Manhattan, PLM, MES, and RFID
- Predictive detection and resolution of integration failures
- Trusted, governed product data foundation enabling scalable enterprise integration
Risks
- Data quality or governance gaps undermine automation effectiveness
- Complex legacy system dependencies delay implementation
- Insufficient change management slows adoption by internal and customer teams
Next 90 days
- Pilot Integration Copilot with a top-5 Intelligent Labels customer (e.g., Walmart) to validate onboarding acceleration
- Establish cross-functional data governance council to address quality and ownership gaps
- Develop and communicate a clear migration and adoption roadmap for internal and customer IT teams