Deploying Genie: Support Automation in Practice
15 min readProduct: genie
A deployment guide for enterprise support teams. From knowledge base preparation through multi-channel deployment to ongoing measurement — how a serious support operation is built on Genie.
In this guide
01
Readiness Assessment
Evaluate your support operations for AI integration
02
Implementation Playbook
30-60 day deployment roadmap
03
Automation Flows
High-impact conversation workflows
04
Key Metrics
Track success with the right KPIs
05
Tool Stack
Essential integrations and platforms
06
Case Study
Real results from Indian businesses
Implementation roadmap
Discovery
Week 1- ◆Audit top 50 support queries and tag by intent (billing, onboarding, product usage, bugs)
- ◆Export macros/FAQ from Zendesk/Freshdesk/Intercom
- ◆Collect policy docs, knowledge base articles, pricing tables, and escalation SOPs
- ◆Define success metrics: automation %, CSAT, first response time, call deflection
Training & Testing
Weeks 2-3- ◆Feed curated data into Genie knowledge packs (FAQs, PDFs, Google Docs, CSVs)
- ◆Create conversation styles for sales, support, and internal helpdesk
- ◆Run blind testing against 200 historical tickets to measure accuracy
- ◆Set confidence thresholds for self-resolution vs human escalation
Go-Live
Weeks 4-6- ◆Deploy on website, WhatsApp Business API, and mobile SDK
- ◆Enable live agent inbox with assignment routing + macros
- ◆Integrate CRM (HubSpot/Zoho/Salesforce) for customer context
- ◆Launch feedback loops: user rating prompts, agent review console, analytics dashboard
65%+
Automation Rate
Queries resolved without human intervention
<30 sec
First Response Time
Average time to first AI response
4.5+
CSAT Score
Customer satisfaction on 5-point scale
-60%
Cost per Ticket
Reduction in support cost per ticket