AI Agents
Generative AI has evolved from LLM models to connected workflows… and now, to AI Agents that think and act on their own. At indigitall, we’re already in this latest phase: our AI Agent is the most advanced on the market, combining autonomy, intelligence, and real results.
MCP Connection
Our AI Agent is built to think strategically, seamlessly connect with any software through an MCP server, and engage dynamically with users to gather additional insights. With its iterative approach, the AI Agent consistently delivers the most accurate and optimized solution, always aligned with your original objective.
We use the Model Context Protocol (MCP), an open protocol that enables the AI agent to connect and communicate with multiple data sources and external tools in real time.
Thanks to MCP, we scale your AI solutions in an agile, efficient, and secure way, accelerating interoperability in complex and dynamic environments.
1. From Conversation to Conversion
The AI agent understands, makes decisions, and takes real action: it manages bookings, triggers campaigns, updates the CRM, captures leads, creates tickets, and initiates customer journeys.
2. Seamless Integration
The AI agent connects with remote services such as:
- Customer Journey
- Contact Center platforms
- External services (Google Maps, CRMs, databases…)
3. Omnichannel Experience
Seamlessly unify the user experience across all channels while maintaining context and continuity, thanks to our Contact Center and Customer Data Platform (CDP).
4. Business Ecosystem
Our platform adapts in real time and connects with various systems (CRM, eCommerce, etc.), enabling you to orchestrate consistent, relevant, and highly effective experiences from the very first second.
5. Continuous Learning and Optimization
The AI agent learns from every interaction and improves decision-making in real time using machine learning and your business data.
Updated about 15 hours ago