AI Agents for SMEs: Agentic AI & Hybrid Search for Your Business

The Enterprise Intelligence Core is the answer to the greatest challenge of digital transformation in small and medium-sized enterprises (SMEs): the separation of structured ERP data and unstructured corporate knowledge. While valuable information is often trapped in relational databases (SQL/ERP) or cluttered file servers (PDFs, Excel, reports), our Agentic AI solution breaks down these silos.

As an ERP-independent Agentic Orchestrator, the system functions not merely as a simple search tool, but as a digital subject matter expert. It understands complex inquiries, makes autonomous decisions about the best data source, and delivers precise answers for your business.

I. The Architecture: Agentic AI & High-End Infrastructure

Instead of relying on rigid scripts, we implement a state-of-the-art, agent-based infrastructure designed for maximum reliability in professional environments.

1. The Agentic Orchestrator (The Neural Center)

This AI agent acts as an intelligent control unit that goes far beyond simple “prompting”:

• Autonomous Routing: The AI analyzes the user’s intent and independently decides which tools (SQL query vs. document search) need to be activated.
• Looping & Self-Correction: If the agent detects a gap in the data or an incomplete SQL response, it autonomously corrects its parameters and restarts the search process—ensuring results with the highest validity.

2. Hybrid Search Layer: Precision through Vector Search & Keywords

For intelligent AI knowledge management, we utilize a true hybrid search that outperforms traditional RAG systems:

• Vector Search (Semantic Search): Finds content based on meaning (e.g., a search for “material fatigue” also returns results for “crack formation”).
• Keyword Search (Precision): Classic full-text search ensures that specific technical terms, part numbers, or chemical designations are found exactly.

3. SQL Generation & “Golden Records”: AI without Hallucinations

We eliminate the risk of false AI answers in the database sector through innovative procedures:

• Verified Logic: Through the “Golden Record” technique, we use manually verified SQL templates for complex business logic (e.g., inventory calculations across multiple locations).
• Context-Aware Schema Mapping: The agent uses manuals and metadata to correctly map natural language to technical database fields.

II. Practical Scenarios: AI Solutions in Everyday Business

• Research & Development (R&D): Search through decades of trial reports in seconds. The AI analyzes lab data on drives, extracts results from Word/Excel, and identifies, for example, the “second-best test result” including a scientific justification.
• Procurement & Sourcing: Instantly find the right suppliers for requirements such as “sustainable rPET.” The AI combines supplier master data from your ERP with certificates from your file server.
• Sales Intelligence: Gain immediate transparency into customer histories and cross-selling potential through automated joins across invoice lines and item attributes.
• AI in IT Support: A 24/7 self-service based on your manuals. Thanks to Multimodal AI (Vision), employees can upload screenshots of error messages—the AI reads the error and delivers the solution instantly.

III. Business Value: Why Agentic AI Transforms SMEs

“The journey to the Agentic Enterprise is not a luxury project, but the answer to the labor shortage and the increasing flood of information.”

Strategic Conclusion

The Enterprise Intelligence Core transforms your data from an administrative burden into an active strategic resource. Redefine your business processes—with AI that doesn’t just chat, but works.