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Observe.AI Launches Performance Agents for CX to Transform Coaching Into Measurable Outcomes

Observe.AI is the leader in AI Agents for Customer Experience

News provided by

Observe.AI

Sep 08, 2026, 07:11 ET

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Purpose-built AI agents connect interaction intelligence, behavioral analysis, coaching, and performance measurement in a continuous system designed to improve the behaviors that shape customer and business outcomes

SAN FRANCISCO, Sept. 8, 2026 /PRNewswire/ -- 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.

AI-powered leaderboards show customer experience leaders who needs coaching, why, and where targeted support can improve performance.
AI-powered leaderboards show customer experience leaders who needs coaching, why, and where targeted support can improve performance.
The agentic AI Coach Builder lets customer experience leaders create tailored AI coaches for specific teams, roles, and performance goals.
The agentic AI Coach Builder lets customer experience leaders create tailored AI coaches for specific teams, roles, and performance goals.

"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 now evaluate customer interactions at a scale that manual quality programs could never reach, but converting that data into effective coaching remains time-consuming. Today, 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 identify and then define the behaviors that matter to business outcomes. These can include objective requirements such as compliance and process adherence, as well as nuanced human behaviors such as empathy, active listening, discovery, objection handling, and expectation setting.

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 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.

Performance Agents continue measuring performance after coaching occurs. Subsequent customer interactions provide new evidence, allowing organizations to monitor trends, compare progress over time, and inform the next coaching plan. Coaching effectiveness reporting shows when coaching was provided, how performance changed, and whether targeted behaviors improved.

The system reduces the time supervisors spend preparing for coaching. Performance Agents can reduce preparation to under five minutes in applicable workflows, allowing supervisors to focus on judgment, context, and employee development.

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.

With Performance Agents, CX organizations can establish a consistent approach to coaching across the entire organization and with their BPO partners, deliver personalized guidance at scale, and connect coaching activity to measurable frontline improvement.

To learn more about Performance Agents, visit https://www.observe.ai/

About Observe.AI

Observe.AI is the AI platform for Customer Experience, helping organizations automate customer interactions, assist frontline teams, and analyze every conversation to improve customer and business outcomes. The Observe.AI platform combines AI Agents for Customers, Companion Agent for Frontline Teams, AI Agents for Operations, and Interaction Intelligence to give organizations a connected system for understanding and improving Customer Experience at scale.

CONTACT:
John McMullan Communications
Observe.AI 
[email protected]

SOURCE Observe.AI

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