AI Agents are not chatbots that answer FAQs. They are intelligent systems that understand context, access business data, execute actions, and learn from experience.
An effective AI Agent integrates: language understanding, knowledge base access (RAG), ability to execute actions on systems, interaction memory, error handling.
Our agents integrate natively with the business ecosystem: vtenext CRM, ERP, PIM. This integration is what transforms a chatbot into a true digital assistant.
SUCCESS STORY
Service Company Impact
B2B distributor with 25 sales agents. Problem: 45 minutes to prepare each customer visit. Data scattered across CRM, ERP, PDFs, Excel.
Solution: Mobile Sales Agent that prepares automatic briefs with order history, purchased products, open tickets, catalog news.
Claude AI • RAG • vtenext • ERP Integration
90%
Team adoption after 3 months
45→5
Minutes prep -89% time
“It’s like having an assistant who knows the entire system”
— Sales team feedback
What is an AI Agent
Definition
An AI Agent is a software system that:
- Understands requests in natural language
- Accesses business data and systems
- Executes actions on behalf of the user
- Maintains context and memory
- Learns and improves over time
Agent vs Chatbot
| Feature | Chatbot | AI Agent |
|---|---|---|
| Responses | Pre-configured | Dynamically generated |
| Data | Static FAQs | KB + live systems |
| Actions | None | Executes tasks |
| Context | Limited | Full memory |
| Integration | Standalone | Connected ecosystem |
Agent Types
Specialized solutions for every need
Sales Agent
Sales force support
- • Automatic pre-meeting briefs
- • Customer history via chat
- • Related product suggestions
- • Follow-up email drafts
- • Conversational CRM updates
Support Agent
Automated customer service
- • First-level ticket response
- • Knowledge base search
- • Intelligent escalation
- • Request tracking
- • Feedback collection
Document Agent
Document processing
- • Document data extraction
- • Automatic classification
- • Document Q&A
- • Report generation
- • Compliance check
Knowledge Agent
Business information access
- • Semantic KB search
- • Technical documentation Q&A
- • New employee onboarding
- • Policy and procedure lookup
- • Training assistant
Integration Agent
System orchestration
- • Data sync between systems
- • Intelligent error management
- • Automated workflows
- • Monitoring and alerting
- • Self-healing processes
Technology Stack
LLM Provider
Framework
Vector DB (RAG)
Deployment
Capabilities
Development Process
Discovery
- • Use case definition
- • Data mapping
- • Integration requirements
- • Success metrics
POC
- • Core capabilities
- • Limited data
- • Basic integration
- • Validation
MVP
- • Full capabilities
- • Real data
- • Production integration
- • Pilot users
Production
- • Scale deployment
- • Monitoring setup
- • Training
- • Go-live
Evolution
- • Performance tuning
- • New capabilities
- • Continuous improvement