Skip to content

Latest commit

 

History

History
83 lines (62 loc) · 1.98 KB

PROPOSAL.md

File metadata and controls

83 lines (62 loc) · 1.98 KB

OMC AI Support Agent - Proposal

The Problem

OMC support engineers spend significant time troubleshooting device outages:

Task Current Time Frequency
Find device IP addresses 3-5 min Every incident
Search past incidents 10-15 min Every incident
Look up procedures 5-10 min Every incident
Document resolution 5-10 min Every incident

Average incident: 35-45 minutes ~85 incidents/month = 50+ hours of repetitive work

The Solution

An AI assistant that:

  1. Answers questions instantly

    • "What's the IP for Port Hedland Miros?"
    • "How do I reset a DT80?"
    • "What's the SLA for Melbourne DUKC?"
  2. Runs diagnostics automatically

    • Pings devices
    • Checks RabbitMQ data flow
    • Retrieves credentials from Secrets
  3. Recommends solutions

    • Matches symptoms to past incidents
    • Surfaces relevant procedures
    • Suggests escalation paths

ROI Estimate

Metric Current With AI Savings
Avg incident time 40 min 5 min 35 min (88%)
Monthly incidents 85 85 -
Hours saved/month - - ~50 hours
Annual value - - ~$60K

Pricing

Phase Duration Cost
Pilot 4 weeks FREE
Production Ongoing $2,000/month

Timeline

Week 1-2: POC
├─ Index troubleshooting docs
├─ Build 3 demo scenarios
└─ Internal demo

Week 3-4: Pilot
├─ 5 support engineers testing
├─ Gather feedback
└─ Measure time savings

Month 2+: Production
├─ Full team rollout
├─ Add integrations (Ansible, Jira)
└─ Monthly reviews

What We Need from OMC

  1. Access: Intranet docs, Jira API, Buildkite
  2. Stakeholder: Support manager as sponsor
  3. Testers: 5 engineers for pilot
  4. Feedback: Weekly check-ins during pilot

Next Steps

  1. Schedule 30-min demo
  2. Review knowledge base requirements
  3. Agree on pilot scope
  4. Start POC build