AI Agent

Customer Experience AI Agent

Turn customer feedback into action before churn happens

From scattered feedback to actionable insights. Analyze sentiment, identify trends, route issues to owners automatically.

Benefits

Act on Customer Feedback Before It's Too Late

Customer feedback lands in support tickets, surveys, reviews, and social media. Manual analysis takes weeks. By then, frustrated customers have churned. This agent analyzes all feedback in real time.

75%

Faster issue detection

40%

Churn reduction

99%

Feedback coverage

Agentic Flows

Complete Feedback Management Automation

Automated workflow: multi-source feedback collection, sentiment analysis with AI, theme identification and categorization, trend detection across time periods, issue routing to owners, follow-up tracking.

How it works

AI-Powered Feedback Analysis

The agent collects feedback from support tickets, NPS surveys, app reviews, social media, and sales calls. It performs sentiment analysis, identifies recurring themes, and routes critical issues automatically.

Self-Learning Agents

The agent improves with every task, adapting to outcomes, applying feedback, and self-correcting using Constitutional AI.

Upto 98% Accuracy

As a result of constant feedback loops, Beam AI Agents refine their approach with every cycle, leading to 98% accuracy across flows.

Smart Model Switching

We call it ModelMesh. Each agent selects the right model for the task, balancing speed, accuracy, and cost in real time.

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Self-Learning Agents

The agent improves with every task, adapting to outcomes, applying feedback, and self-correcting using Constitutional AI.

Upto 98% Accuracy

As a result of constant feedback loops, Beam AI Agents refine their approach with every cycle, leading to 98% accuracy across flows.

Smart Model Switching

We call it ModelMesh. Each agent selects the right model for the task, balancing speed, accuracy, and cost in real time.

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Integrations

Connects to All Feedback Channels

Direct integration with Zendesk, Intercom, Freshdesk, Delighted, SurveyMonkey, Trustpilot, G2, App Store reviews, Twitter, and LinkedIn. Exports insights to Slack, Jira, Asana, and BI tools.

Implementation

Analyzing Feedback in 3 Days

Connect your support, survey, review, and social media channels. Configure sentiment thresholds and routing rules. Most teams have feedback analysis running within 72 hours of project start.

Step 1

Agent Discovery

Conduct workshop(s) with relevant stakeholders to identify and prioritize use cases and map the requirements

Step 1

Agent Discovery

Conduct workshop(s) with relevant stakeholders to identify and prioritize use cases and map the requirements

Step 2

Agent Setup

Develop and launch your first agent with basic logic and integration (process scoping and recording, test dataset of 30-50 examples, baseline agent running and testing with target output mapping)

Step 2

Agent Setup

Develop and launch your first agent with basic logic and integration (process scoping and recording, test dataset of 30-50 examples, baseline agent running and testing with target output mapping)

Step 3

Agent Training

Test performance and gather feedback from process users (agent optimization up to 80% against expected output, variable-level accuracy measurement and optimization, integrations setup, and feedback API interfacing)

Step 3

Agent Training

Test performance and gather feedback from process users (agent optimization up to 80% against expected output, variable-level accuracy measurement and optimization, integrations setup, and feedback API interfacing)

Step 4

Agent Live

Extend to more workflows and client teams (live and continuous monitoring, human-in-the loop interfacing, node auto-tuning for automated prompt enhancements, >90% accuracy improvement, weekly business logic improvements)

Step 4

Agent Live

Extend to more workflows and client teams (live and continuous monitoring, human-in-the loop interfacing, node auto-tuning for automated prompt enhancements, >90% accuracy improvement, weekly business logic improvements)

Key Features

Intelligent Feedback Analysis

Multi-Channel Collection

Aggregates feedback from tickets, surveys, reviews, social media, and calls. One view.

Sentiment Trend Analysis

Tracks sentiment over time by feature, team, and customer segment. Alerts on declines.

Automated Issue Routing

Routes critical feedback to product, support, or account teams. Tracks resolution time.

Demo

See Customer Experience Analysis in Action

Watch the agent analyze 500 feedback items from support tickets, surveys, and reviews, identify 3 recurring issues, calculate sentiment trends, and route urgent problems to the right teams.