Observe.AI has announced Performance Agents for CX, a new set of AI-powered tools for measuring and improving contact center operations. Built on Observe.AI’s Agentic platform for CX, Performance Agents apply AI coaching across the performance management cycle. They move from analyzing conversations and identifying coaching opportunities to assembling evidence, preparing personalized plans, and measuring subsequent performance. Supervisors retain control over every plan shared with frontline teams.
“The purpose of coaching is not to complete a coaching session. It is to change behavior that results in meaningful impact to the business,” said Swapnil Jain, co-founder and CEO at Observe.AI. “Performance Agents turn the intelligence within customer conversations into clear, timely actions for supervisors and frontline teams. These AI agents apply a consistent standard for coaching, personalize development to each individual, and measure whether that coaching improves performance.”
Performance Agents address a persistent gap in contact center performance management. CX organizations can evaluate customer interactions at a scale that manual quality programs could never reach, but converting that data into effective coaching remains time-consuming. Supervisors must interpret reports, find relevant conversations, document examples, prepare plans, and determine whether performance improved afterward. Performance Agents connect these steps in a continuous system grounded in real customer conversations. They use transcripts, QA scoring and identified winning behaviors to evaluate performance. By analyzing patterns across multiple interactions, they can distinguish an isolated issue from a recurring behavior and prepare bespoke coaching plans for each frontline support agent.
Organizations can configure Performance Agents by team, role, line of business, or cohort. Each agent can use the organization’s terminology, behavior definitions, tone, QA forms and coaching methodology, including frameworks such as GROW, SMART, IDEA or a custom model. This enables large CX organizations to apply consistent coaching and evidence standards across teams while tailoring each plan to the individual.
Supervisors can also review, edit, approve, and share coaching plans. Performance Agents do not make autonomous employment or performance decisions, and no plan is delivered to a frontline teammate without human review. Frontline teammates can access the same plan and evidence, acknowledge the coaching, and provide additional context, creating a shared record of what was discussed and what improvement is expected.
The launch expands Observe.AI’s portfolio of purpose-built AI Agents across the Customer Experience organization. The Observe.AI platform brings together AI Agents for Customers, Companion Agent for Frontline Teams, AI Agents for Operations, and Interaction Intelligence, which connects customer conversations, quality, assistance, insights and performance.
