Building Trusted Support Bots
A ~40-minute course for CS leaders, Support Ops, and CX Ops — containment math, knowledge grounding, escalation triggers, conversational design, voice, quality monitoring, 2-quarter rollout. Grounded in 2024–26 cases.
8
Chapters
~40 min
Duration
Intermediate
Level
No
Certification
Who this is for
For CS leaders and CX Ops past basic AI literacy.
How this course works
- 8 audio-narrated slide chapters · ~40 min of focused content
- Trust trip-wires on every play — what not to cross
- Free verifiable certificate on completion
What you'll walk out with
Specific outcomes from this course — no fluff.
- The honest CS-AI landscape — Zendesk CX Trends 84%, Klarna up-then-down lesson, Salesforce Agentforce reality
- Containment vs deflection vs resolution math — the cost stack from McKinsey ($9-14 human vs $1.50-3 autonomous)
- Knowledge grounding — Air Canada Moffatt precedent, NYC MyCity lesson, the retrieval-or-don't-build rule
- The 5 escalation triggers — Gallup CSAT-decline #1, warm-handoff design, the Chevy Tahoe $1 lesson
- Conversational design + disclosure — EU AI Act Article 50 (Aug 2 2026), DPD haiku case, 6 design rules
- Voice support AI — Talkdesk 25% inbound, sub-900ms latency, assist vs autonomous architectures
- Quality monitoring — Forrester #3 failure mode, the 27-point gap, shadow QA + 5 metrics
- A 2-quarter rollout with 4 trust trip-wires and the through-line: AI for volume, humans for value
Course content
8 chapters · ~40 min
The CS AI landscape
Zendesk CX Trends 2026 (84% strategic priority, 71% deployed). Avg containment 38–52% vs top-decile 70%+. Klarna up-then-down (2024 → 2025). Salesforce, Intercom, Zendesk, Cognigy, Talkdesk landscape. 4 failure cases: Air Canada, DPD, NYC MyCity, Chevy Tahoe $1.
Containment vs deflection · the math
Containment ≠ deflection ≠ resolution — only resolution matters to CSAT. McKinsey cost stack: $9–14 human vs $1.50–3 autonomous. The whiteboard formula. Klarna reframed in money: appropriate containment, not maximum containment.
Knowledge grounding
Moffatt v. Air Canada — "Air Canada is responsible for all information on its website, including from a chatbot." NYC MyCity harm. McKinsey 1-in-12 vs 1-in-200+. The grounding stack: retrieval, citations, confidence thresholds. The stale-KB trap.
Escalation triggers
Gallup #1 CSAT-decline reason: "the bot kept me in a loop." Chevy Tahoe $1 case. The 5 triggers: low confidence, sensitive intent, repeated misunderstanding, regulated topic, user request. The 4-rule warm handoff. Forrester #1 failure reason.
Conversational design + disclosure
EU AI Act Article 50 from Aug 2 2026 — transparency obligation. Pew Research: 70% of consumers prefer disclosure. The three-sentence disclosure pattern. DPD haiku case. The 6 design rules: short, no apologies-as-deflection, named, single-purpose, on-rails, no fake humanness.
Voice support AI
Talkdesk 25% inbound + 18% AHT down. Cognigy 250+ F2000. $4/call autonomous vs $6.50 human. Two architectures: agent-assist vs autonomous voice agent. Latency <900ms + barge-in. Build the architecture-per-intent matrix.
Quality monitoring
Forrester #3 failure reason: no QA. Salesforce State of Service: 27-point CX gap between teams with active monitoring vs without. The 5 metrics: misrouted escalation rate, CSAT on AI-touched, repeat contact, transitions/session, abandonment. Shadow QA at 2% sample.
Making it stick: your CS AI roadmap
2 use cases, 2 quarters, 1 quality bar. Q1 = FAQ deflection grounded + all 5 triggers + shadow QA. Q2 = one transactional intent. 4 trust trip-wires not to cross. Interactive 2-quarter roadmap builder included. The through-line: AI for volume, humans for value.
Want this delivered inside your organisation?
The course is the starting point. The same content powers a 4-week pilot, an org-wide rollout, or a continuous build engagement — set up on your data, with your team, by Gennoor Tech.