Customer Service AI Automation

Executive Steering Committee Update

Sarah Chen, VP of Customer Operations

January 18, 2026

Executive Summary

Project Status

ON TRACK

Key Metrics

ROI: 285% over 24 months

Go-Live: June 2026

Budget: On target at $1.2M

Top 3 Achievements

• AI model achieving 92% accuracy in testing
• Successfully integrated with Salesforce
• Pilot with 50 agents showing 40% faster resolution

Decision Needed

Approve $200K additional budget for premium API access to handle projected volume increase

The Problem

Current Challenge

15,000+ monthly tickets overwhelming customer service team. 24-hour response time driving churn.

$2.8M

Annual cost

24hrs

Avg response time

65%

Routine tickets

Strategic Impact

Customer satisfaction declining. Competitors offering instant support.

AI Solution

Intelligent ticket routing and automated responses

How It Works

Natural language AI analyzes incoming tickets, categorizes issues, and either auto-responds or routes to the right specialist.

Key Capabilities:

• Auto-respond to routine questions
• Intelligent routing to specialists
• Sentiment analysis for escalation
• Continuous learning from agent feedback

Expected Impact

60%

Tickets auto-resolved

75%

Faster response time

Why AI? Traditional automation cannot handle natural language nuance. AI understands context and learns from every interaction.

Business Case & ROI

Investment

$1.2M

Development, infrastructure, training

Annual Benefits

$1.7M

Labor savings and efficiency gains

Financial Returns

Implementation Timeline

Phase 1

Planning

Jan - Feb 2026

COMPLETE

Phase 2

Development

Mar - May 2026

IN PROGRESS

Phase 3

Rollout

June 2026

PLANNED

Next Milestones

Integration testing (Mar 15), Executive demo (Apr 10), Go-live (Jun 1)

Risks & Mitigation

AI accuracy below 90%

HIGH

Mitigation: Continuous retraining, fallback to human routing. Currently at 92%.

Agent resistance

MEDIUM

Mitigation: Position as assistant not replacement. Comprehensive training program.

Executive Support Needed

Approve $200K for premium API tier to ensure performance at scale

Next Steps & Ask

Executive Decision Needed

Approve $200K for premium API tier

Required for projected volume and 99.9% uptime. Alternative: cap automation at 40% (vs 60%), reducing benefits by $600K annually.

Next Checkpoint

When: April 10, 2026 - Live demo and go/no-go decision