Battery Point Research / AI Playbooks
Customer Service, Intake & Support
A customer asks, “Where is my order?”
An agent can connect the Zendesk ticket to the order and carrier tracking record, send the confirmed delivery status and log the answer. A service rep handles a lost shipment or a disputed promise.
Illustrative workflow; requires connected systems and agreed permissions.
What the agent does — and what your team does
| Work today | Who often does it in an SMB | AI takes over | Human shifts to |
|---|---|---|---|
| Scheduling | Office staff / dispatch | Booking, reminders, rescheduling | Exceptions and capacity decisions |
| Basic intake | Receptionist / coordinator | Questions, data capture, classification | Reviewing unusual cases |
| Status questions | Sales / office / operations | Order, service, and appointment updatesIf tracking is missing or contradictory, the agent should route the ticket to a person rather than promise a delivery date. | Actual customer issues |
| Routine troubleshooting | Technicians / support / sales | First-pass diagnosis and guided steps | Difficult technical problems |
| Routing | Office staff / manager | Classification and assignment | Exception handling |
| Follow-up | Sales / service / admin | Reminders, confirmations, routine updates | Relationship-sensitive follow-up |
| FAQs | Whoever answers | Instant answers from approved knowledge | Unusual or sensitive questions |
| Complaints | Manager / owner | Triage, history gathering, first response | Judgment, recovery, accountability |
Where does the human come out of the loop?
| Activity | Human today? | Could the human be removed now? | Likely next 2–4 quarters |
|---|---|---|---|
| Appointment scheduling | Yes | Yes | Largely autonomous |
| Basic intake | Yes | Yes | Mostly automated |
| FAQs / policy questions | Yes | Yes | Autonomous for routine cases |
| Order / service status | Yes | Yes | Fully self-service |
| Routing | Yes | Yes | Automated |
| Call summaries | Yes | Yes | Background automation |
| CRM / ticket updates | Yes | Yes | Background automation |
| Routine follow-up | Yes | Yes | Increasingly autonomous |
| Basic troubleshooting | Yes | Often | AI handles more first-line diagnosis |
| Simple refunds / exceptions | Usually | Partially | More decisions delegated within rules |
| Complaint triage | Yes | Partially | AI handles intake and routine resolution |
| Complex technical support | Yes | Not reliably yet | Human remains important |
| Relationship recovery | Yes | Not generally | Human remains important near-term |
This is a snapshot, not a stable boundary.
Human executes → AI assists → AI executes with approval → AI operates within guardrails → human handles exceptions
In some workflows, the endpoint is not a more productive human. It is the removal of the human step altogether.
What happens to the people already doing the work?
Work that can disappear
- routine scheduling
- status updates
- basic intake
- first-line FAQs
- routine routing
- CRM / ticket updates
- repetitive follow-up
Roles shift toward oversight
- office staff
- dispatch
- service coordinators
- managers
- first-line support staff
Redeploy talent toward
- exception handling
- complex troubleshooting
- relationship recovery
- customer judgment
- capacity decisions
- accountability
- high-value interactions
What the recorded work can reveal
Linking each request, action and outcome makes these questions easier to answer:
- Which orders generate repeated status calls?
- Which answers resolve the issue without a second contact?
- Which delivery failures consume the most service time?