Menu
Platform Overview Agent Framework Knowledge Engine Integrations & Channels Security & Compliance
By Industry By Use Case By Company Size Case Studies
Managed Services Professional Services Implementation Services AI Readiness Toolkit
About BroadNet Global Presence Leadership Partners Careers Contact
Pricing
Request Demo Contact Sales

Build AI Agents That Work As Hard As Your Best Employees

Beyond chatbots. Build autonomous agents that don't just answer questions—they take action.

See Agent Framework

Beyond Chatbots: Proactive Agents

Traditional chatbots are reactive—they wait for questions. Our agents are proactive—they monitor, analyze, and act autonomously.

Reactive Chatbots

  • • Wait for user questions
  • • Answer from knowledge base
  • • No memory across sessions
  • • Limited to text responses

Proactive Agents

  • • Monitor systems and trigger actions
  • • Take autonomous decisions
  • • Persistent memory across sessions
  • • Integrate with tools and APIs

Agent Capabilities

Persistent Memory

Context across sessions. Agents remember previous conversations, user preferences, and business context to provide continuous, personalized service.

Tool Integration (MCP)

Model Context Protocol (MCP) support for seamless integration with your existing tools, databases, and APIs. Agents can read, write, and execute actions.

Autonomous Actions

Not just answering—doing. Agents can schedule meetings, update records, trigger workflows, and make decisions based on business rules.

Multi-Agent Orchestration

Deploy multiple specialized agents that work together. A customer service agent can hand off to a sales agent, which coordinates with an operations agent.

Use Case Examples

Customer Service Agent

Handles inquiries end-to-end: answers questions, looks up order history, processes returns, escalates complex issues, and schedules follow-ups—all autonomously.

Customer: "I need to return order #12345"
Agent: [Checks order status] [Validates return policy] [Processes return] [Sends confirmation] "Return processed. Refund will appear in 3-5 business days."

Operations Agent

Monitors systems, triggers alerts, schedules maintenance, optimizes workflows, and predicts issues before they become problems.

Agent: [Monitors server metrics] [Detects anomaly] [Analyzes pattern] [Schedules maintenance] "Detected unusual CPU spike pattern. Scheduled maintenance window for tonight. Estimated impact: minimal."

Sales Agent

Tracks engagement, qualifies leads, schedules meetings, sends follow-ups, and provides real-time coaching to sales teams.

Agent: [Analyzes lead behavior] [Scores lead] [Schedules demo] [Prepares briefing] "Lead scored 85/100. Demo scheduled for Thursday. Key talking points: enterprise security, on-premise deployment."

The Future is Agentic

MIT research on the "Agentic Web" shows that the future of AI isn't just better chatbots—it's autonomous agents that learn, adapt, and take action. This is what we've built.

See Agentic AI in Action

Build Your First Agent in 21 Days

See how the BroadNet Agent Framework compares to Microsoft Copilot Studio and Google AI Studio. Get a custom demo tailored to your use case.

Request Demo