03 / USE CASE

Support

Support scales badly. Adding heads to a queue is the most expensive way to buy coverage, and it does nothing for the 2 a.m. customer. An agent that has your full knowledge base, every past ticket, and live access to your systems can resolve the majority of incoming work and knows when it cannot.

03 USE CASE
● PATTERN
Tickets resolved autonomously
50%+
First-response time
< 30s
CSAT lift
+18 pts
THE PROBLEM

What the work looks like today

Your support team is spending its expertise on the same twenty questions, asked in twenty different ways, every day. The hard tickets the ones that actually need a human are buried under status checks, password resets, and account lookups. Meanwhile customers are re-explaining their problem to every agent they get routed to.

  • 50%+ of tickets are repeat categories that need no human judgment
  • After-hours coverage means voicemail or a form
  • Every re-routed ticket means a customer re-telling the story
  • Your best agents are burning out on the easy queue
HOW THE AGENT WORKS

How the agent works

01

Triage

Agent takes first contact on every channel chat, phone, email, ticket with full customer history in context.

02

Resolve

Executes against connected systems: refunds, order lookups, password resets, shipment tracking, subscription changes. All audited.

03

Escalate with briefing

When the issue exceeds policy bounds, the agent transfers to a human with full transcript, customer history, and its own recommendation.

04

Close the loop

Post-resolution follow-up. Captures feedback, updates the knowledge base when new resolutions are authored by humans.

HUMAN OVERSIGHT

What the human does

Human agents handle what the AI cannot: judgment calls about policy exceptions, customers who are genuinely distressed, and escalations that involve legal or financial exposure. They receive full context from the AI before they say a word.

01
Support manager sets resolution authority thresholds by ticket category
02
Human agent receives full AI transcript before picking up any escalation
03
QA team reviews 10% of auto-resolved tickets weekly for drift
PRODUCT SNAPSHOTS

The work, in practice.

Support agent reviewing an escalated ticket summary
IMG 01
Escalation brief agent hands off with full context
Customer service manager reviewing resolution dashboard
IMG 02
Resolution rate and CSAT tracked daily
Agent knowledge base auto-updated after a novel resolution
IMG 03
Knowledge base grows automatically from human resolutions
DEPLOYMENT TIMELINE

From zero to production in weeks.

Wk 1–2

Ingest

Load your knowledge base, past ticket history, and resolution policies. Connect to your help desk and CRM.

Wk 3–4

Shadow mode

Agent drafts responses; humans review before send. Calibrate confidence thresholds.

Wk 5–8

Live on low-risk

Agent resolves the easy categories autonomously. Team monitors and patches gaps.

Wk 9–12

Full coverage

Agent runs first contact on all channels. Human team handles escalations only.

READY TO SCOPE ONE?

Let’s deploy
Support.

30 minutes with our team. We’ll walk through your specifics the integrations, the failure modes, the shape of a 6-week pilot.