While both use AI, they operate on different levels. A standard chatbot is primarily reactive, designed to follow conversational scripts and answer common questions. An AI Agent is proactive and autonomous. It can execute multi-step tasks, make decisions based on complex data, integrate deeply with business systems, and independently manage entire workflows from start to finish, functioning like a true digital team member.

Seamless integration is a core part of our development process. We utilize APIs and custom connectors to ensure your AI Agents can communicate and work flawlessly with your existing technology stack, including CRMs (like Salesforce, HubSpot), ERP systems, databases, and other essential business platforms. Our initial consulting phase includes mapping out these integration points to ensure a smooth workflow.

The timeline can vary based on the complexity of the agent and the number of integrations required. However, our agile process is designed for efficiency. A typical project moves through four phases: Discovery & Strategy (1-2 weeks), Development & Integration (3-6 weeks), Testing & Refinement (1-2 weeks), and final Deployment. We provide a detailed project timeline after our initial consultation.

Our partnership doesn’t end at deployment. Every agent we build comes with a post-launch support period to address any immediate issues. We also offer flexible ongoing support and maintenance retainers, which include performance monitoring, continuous optimization to improve efficiency, and updates to ensure your agent remains effective as your business and technology evolve.

We believe in delivering measurable results. During the initial consulting phase, we work with you to define specific Key Performance Indicators (KPIs) for your agent. Success is then measured against these pre-defined metrics, which can include reduced operational costs, increased lead conversion rates, hours of manual work saved, improved customer satisfaction scores (CSAT), or faster task completion times.