AI Agent

Agente de voz AI

Handle phone calls with natural conversation, no IVR frustration

Press 1 for this, 2 for that. Or: natural conversation that understands and resolves issues. Your choice.

Benefits

Answer Every Call Without Adding Agents

Phone queues frustrate customers with long wait times. IVR menus force callers through endless options. Simple questions require agent time. After-hours calls go to voicemail. This voice agent answers everything naturally.

70%

Calls auto-resolved

<20sec

Average answer time

24/7

Phone availability

Agentic Flows

Complete Voice Support Automation

Automated workflow: call routing and greeting with natural language, intent recognition from speech, knowledge base and system lookups, answer generation and delivery via voice, escalation to human agents with context.

How it works

Natural Language Phone Automation

The agent answers calls with natural conversational AI, understands caller intent from speech in real time, resolves common inquiries by accessing systems and data, transfers complex issues to humans with full call context.

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.

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

ID-0E48

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

ID-0E48

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

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.

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

ID-0E48

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

ID-0E48

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

ID-0E48

Integrations

Works with Your Phone and Data Systems

Direct integration with Twilio, Five9, RingCentral, Genesys, and cloud phone systems. Accesses CRM, order management, scheduling, and support systems for context. Transfers to agents with full call transcripts.

Implementation

Answering Calls in 48 Hours

Connect your phone system and backend data sources. Configure common call flows and escalation paths. Most teams answer automated calls within 2 days 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

Conversational Voice AI

Natural Language Understanding

Understands caller intent from natural speech. No button pressing or rigid scripts required ever.

System Integration

Accesses CRM, orders, and accounts in real time. Provides accurate, personalized answers always.

Warm Transfers

Transfers complex issues to agents with full call summary and context. No repeated explanations.

Demo

See Voice AI in Action

Listen to the agent handle 20 calls: answer billing questions, check order status, schedule appointments, troubleshoot issues, and transfer 3 complex problems to agents.