65%
faster provisioning
$2.4M
annual savings
10 wks
to production
Challenge
GLP's operations team processed thousands of provisioning and support requests monthly with multi-hour manual handoffs between billing, network, and field teams.
Solution
We built an agentic pipeline that reads service orders, validates against network and billing rules, provisions eligible requests automatically, and routes exceptions to specialists — with human-in-the-loop controls on flagged cases.
Outcome
Provisioning time dropped 65%, annual savings reached $2.4M, and the system reached production in 10 weeks with 99.99% uptime on the underlying platform.
Tech stack
- Python
- LangGraph
- AWS
- PostgreSQL
- Datadog
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