Deploying a Planner-Executor Agent for Tier-1 Customer Support

A telecom provider’s tier-1 support queue was overwhelmed with repetitive account and billing questions, driving both high customer wait times and high agent burnout on low-complexity work.

Service Provided

Capabilities Utilized

Agentic Architecture, Tool Integration, SLA Design

Client challenge

Roughly 55% of tier-1 tickets involved a small set of repeatable actions — plan changes, billing disputes under a set threshold, and service restarts — but the existing rules-based bot could only handle simple FAQ lookups and routed anything more complex straight to a human queue, providing little real relief.

Our solution

We built a planner-executor agent with direct, scoped access to the billing and provisioning systems, able to actually execute the repeatable actions rather than just answer questions about them. The agent operates within tightly defined tool permissions and dollar thresholds, escalating anything outside its authority to a human agent with full context already gathered.

We rolled it out in three stages — read-only information lookup, then low-risk actions under $50, then the full authorized action set — with an SLA-monitoring dashboard tracking resolution time and escalation rate at each stage before expanding scope.

Results

The agent now autonomously resolves 38% of all tier-1 tickets end-to-end, with an escalation-to-human rate of just 6% on those resolved conversations. Average tier-1 resolution time fell from 11 minutes to 3 minutes for agent-handled tickets, and overall queue wait times dropped 29% as human agents were freed to focus on higher-complexity issues.

Additional Case Studies

Launching a Usage-Based Pricing Model for an AI Developer Platform

An AI developer platform’s flat-tier pricing was leaving money on the table with its largest customers

Establishing an Enterprise AI PMO to Track ROI Across 30 Initiatives

A global enterprise had 30 active AI initiatives across its business units but no consistent way

Building the Product Operating Model for an Agentic SaaS Vendor

A vertical SaaS vendor had shipped an early agentic feature that could autonomously complete customer workflows,