01
Delegated + reviewed
Summarize case history
Turn a long interaction history into facts, unresolved issues, and next questions.
- Human owner
- Case owner
- Risk signal
- medium
- Safeguard
- Link the summary to the original messages and mark uncertainty.
Role 05 · Support, success, service, and contact-center teams
Customer Support
Faster resolution while making empathy and promises more explicit.
Adapt this role
The redesign premise
Use AI to summarize history, retrieve approved knowledge, and draft responses. Keep sensitive judgment, relationship repair, and commitments with people.
Four tasks to examine first.
The lane is a starting recommendation. Consequence, evidence, reversibility, and local policy can change the right design.
02
AI-assisted
Draft a response
Prepare a response using approved knowledge and the customer’s context.
- Human owner
- Support specialist
- Risk signal
- medium
- Safeguard
- Review tone, facts, policy, and every customer commitment.
03
Human-led
Handle sensitive escalation
Respond when impact, emotion, policy ambiguity, or relationship risk rises.
- Human owner
- Experienced escalation owner
- Risk signal
- high
- Safeguard
- Provide authority, time, and a clear path to specialist help.
04
Delegated + reviewed
Route familiar requests
Direct well-understood cases to the right queue or approved self-service path.
- Human owner
- Support operations
- Risk signal
- low
- Safeguard
- Make it easy for customers and staff to override a bad route.
Skills that become more valuable
Build judgment around the tool.
- 01Conversation review
- 02Knowledge grounding
- 03Escalation judgment
- 04Promise control
A responsible first pilot
Learn before you scale.
- 1Start with case summaries, not autonomous customer promises.
- 2Measure accuracy and agent effort on a controlled sample.
- 3Add escalation triggers before expanding scope.
Measure together
- Resolution quality
- Handle time
- Escalations
- Customer effort
Ground the conversation.
Task and occupation descriptions draw on O*NET. Governance and skill guidance is informed by NIST and the U.S. Department of Labor.
O*NET Database
Occupation, task, skill, work-activity, and work-context foundations
Open source ↗U.S. Department of Labor AI Literacy Framework
Foundational AI literacy content and delivery principles
Open source ↗NIST AI Risk Management Framework
Governance, oversight, documentation, and review practices
Open source ↗