Customer support · Production
Ericsson deploys tiered AI governance and trains over 20,000 employees on enterprise AI platform
The problem
Ericsson needed to raise AI literacy across tens of thousands of employees with varied roles and skill levels, while building governance infrastructure to safely open enterprise data to AI — all requiring robust data protection, regional privacy and data residency compliance, and multilingual support.
Workflow diagram · grounded in source
1
AI education programs launched
trigger
“Investing heavily in AI education through programs like an "AI driver's license" and critical skills paths”
2
Individual agent creation
ai_action
“Individuals can freely build and publish personal agents”
3
Governance moderation gate
human_review
“anything intended for departmental or company‑wide use must go through a moderation and approval process within the relevant business unit”
4
Agents deployed at scale
output
“employees have created nearly 3,000 agents supporting service delivery, customer support, network operations, and everyday productivity”
Reported outcome
Ericsson trained over 20,000 employees in AI skills and employees independently created nearly 3,000 agents spanning service delivery, customer support, network operations, and everyday productivity.
Reported metrics
employees trained in AIover 20,000
Agents created by employeesnearly 3,000
Frequently asked questions
What did this team achieve with this AI workflow?
Ericsson trained over 20,000 employees in AI skills and employees independently created nearly 3,000 agents spanning service delivery, customer support, network operations, and everyday productivity.
What results were reported?
employees trained in AI: over 20,000; Agents created by employees: nearly 3,000 (source-reported, not independently verified).
How is this customer support AI workflow structured?
AI education programs launched → Individual agent creation → Governance moderation gate → Agents deployed at scale.