AI Agent

Engagement Survey AI Agent

Pulse your culture in real-time without survey fatigue

Annual surveys are too slow. 60-question monsters get ignored. Now: smart micro-pulses that capture sentiment without disrupting work.

Benefits

Real-Time Culture Signals

waiting 12 months to find out your team is unhappy is a retention disaster. Long surveys have low completion rates. The Engagement Survey Agent sends intelligent micro-pulses that capture sentiment continuously.

85%

Response rate

Real-time

Sentiment visibility

50%

Lower burnout risk

Agentic Flows

Continuous Listening Workflow

Survey workflow: trigger identification (schedule or event), question selection, multi-channel delivery, response collection, sentiment analysis (NLP), anonymization, and dashboard update.

How it works

Intelligent Listening

The agent sends short, relevant questions via Slack or Teams based on employee lifecycle events (e.g., post-project, work anniversary). It analyzes responses and open text to gauge morale instantly.

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 Work Apps

Lives in Slack and Microsoft Teams. Connects to HRIS (Workday, BambooHR) for lifecycle triggers. exports data to BI tools like Tableau or Looker.

Implementation

Listening in 7 Days

Connect your chat platform and HRIS. Select your question bank. Start receiving real-time sentiment data within the first week of deployment.

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

Smart Survey Tools

Adaptive Questioning

Follows up on low scores automatically. Digs deeper without human intervention.

Lifecycle Triggers

Surveys at key moments: onboarding, promotion, role change. Captures the moments that matter.

Burnout Detection

Analyzes response patterns and sentiment to flag teams at risk of burnout.

Demo

See Engagement Surveys in Action

Watch the agent send a 2-question pulse to a team after a project launch, analyze the 'exhausted' sentiment, and alert the manager to encourage time off.