Future Workforce Explorer
See how AI changes the org chart, not just the org's tools.
Pick a function below and compare today's team structure against the AI-enabled version of it. The point isn't fewer people, it's a different combination of people, AI, and automation.
Today
Tier-1 Support Agents (12)
Handle the full volume of routine inquiries manually
Tier-2 Support Specialists (4)
Resolve escalated and complex cases
Quality Assurance Reviewer
Manually samples calls and chats for quality
Team Supervisor
Manages schedules, coaching, and performance
Workforce Scheduler
Plans shift coverage against forecasted volume
Tomorrow
AI Customer Service Agent
Handles the full volume of routine, tier-1 inquiries end to end
Tier-2 Support Specialists (4)
Focus entirely on complex and escalated cases
AI Quality & Sentiment Monitoring Agent
Continuously reviews every conversation, not a sample
Conversation Design Lead
New role: owns how the AI agent communicates and escalates
AI Governance Lead
New role: owns escalation thresholds and incident response
Team Supervisor
Shifts focus from scheduling to coaching and AI oversight
What changes
- Tier-1 headcount converts into AI oversight and conversation design capacity
- Quality review moves from sampling to continuous, full coverage
- New governance and conversation design roles didn't exist in the prior structure
- Supervisors spend more time coaching complex-case specialists than managing schedules
Want this mapped against your actual org structure, not an illustrative example?
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