New playbook: when your own AI model pays. Read
LG Uplus (telecom, ~10,000 employees) reported this on 17 Aug 2026 in vendor case with a named customer (source). It belongs to the agents, traceability and evals layer.
Evaluation-driven development for contact-centre agents on Arize AX: production traces, user feedback and domain-expert labels feed evaluation datasets that gate every change.
Agent accuracy raised from 70% to 96% (+26 points).
The number covers AI contact-centre agents serving 30M+ subscribers.
“We adopted an evaluation-driven development approach with Arize and continuously improved performance by building evaluation datasets,” LG Uplus said.
Domain experts define what correct looks like; automated eval cycle on collected traces; strategic MOU (Sep 2026) on agent quality and safety evaluation.
Each agent has one narrow task, a named owner and an action log.
12,500
banker hours saved in the first month of operation, July 2026
Five specialist agents on Amazon Bedrock AgentCore that classify and read payslips and bank statements, run serviceability calculations and verify them against lending policy, then hand the banker a result to review for mortgage and credit-card applications (source).
$10M
EBITDA uplift from two agent systems, Partners Group says
Two agentic systems built on a cleaned proprietary policy-level dataset: one runs new-client policy processing, the other automates human-intensive policy checking; delivered by a seven-person team with Version 1 (source).
2–3 minutes
per ocean or air freight quote, down from one to three days
Hundreds of in-house AI agents embedded across the shipment lifecycle (quoting, orders, appointments, missed-pickup checks) and now ocean and air quoting, ocean booking and customs brokerage, built and run under a lean waste-removal discipline by 450+ in-house engineers and data scientists (source).