Enterprise AI Agents & RAG Knowledge Base Pipelines
Turn unstructured enterprise documents and workflows into intelligent, autonomous AI agents. Zero hallucinations, enterprise-grade RBAC security, and seamless CRM/ERP synchronization.
Engineering Deliverables & Verifiable Outcomes
Fixed-scope, sprint-based implementation plan with transparent deliverables at every milestone.
Ingesting PDFs, DOCX, Notion, Slack, databases, and APIs with semantic chunking and high-dimensional vector embeddings.
Multi-stage retrieval using rerankers (Cohere Rerank) and source citation validation to eliminate hallucinations.
Tool-calling agents capable of querying CRMs, generating proposals, classifying support tickets, and triggering API actions.
Strict tenant isolation, audit logging, data masking, and options for EU-hosted or on-premise private LLM deployment.
From Toy Chatbots to Production Enterprise Agents
Most basic chatbots fail in production because they hallucinate, lack business context, or cannot execute multi-step actions. Enterprise organizations require deterministic, verifiable AI systems that operate with strict access control and real-time operational tooling.
We engineer enterprise-grade AI agents that understand your data, execute complex workflows, and integrate directly with your tech stack.
┌─────────────────────────────────────────────────────────────┐
│ Enterprise Document & Database Sources │
│ (Contracts, Technical Specs, Notion, CRM, SQL) │
└──────────────────────────────┬──────────────────────────────┘
│ Semantic Chunking & Embedding
▼
┌─────────────────────────────────────────────────────────────┐
│ High-Dimensional Vector DB (Qdrant / Pinecone / pgvector) │
└──────────────────────────────┬──────────────────────────────┘
│ Hybrid Query + Reranking
▼
┌─────────────────────────────────────────────────────────────┐
│ Autonomous Agent Engine (Tool Calling & Fact Verification) │
└──────────────┬──────────────────────────────┬───────────────┘
│ │
▼ ▼
[Verified Citation] [API Action: CRM / ERP Sync]Key Agent Capabilities
- Autonomous Tool Execution: Agents query your CRM, generate PDF quotes, schedule calendar appointments, or trigger webhook webhooks.
- Hierarchical Access Control: Respect user permission levels so employees only query documents they are authorized to view.
- Multilingual Understanding: Native comprehension and responses in German, English, Arabic, and Russian across global teams.
Deliverables & Milestones
| Stage | Focus Area | Deliverable |
|---|---|---|
| 01. Discovery & Data Audit | Data mapping & use case scoping | Technical requirements & vector pipeline architecture |
| 02. RAG Foundation | Chunking, embeddings & vector store | Working retrieval API with citation accuracy testing |
| 03. Agent Tooling | CRM/ERP integrations & action loops | Autonomous multi-step workflow execution |
| 04. Security & Deployment | RBAC, penetration testing, telemetry | Production deployment with monitoring dashboard |
Technical & Commercial Clarity
Answers to the most critical architecture, indexing, and investment questions.
We employ a multi-layered guardrail architecture. First, we use dense semantic chunking and high-precision hybrid retrieval (vector similarity + BM25 keyword matching) with reranking. Second, the model is strictly instructed to synthesize answers exclusively from retrieved context chunks. If confidence is below threshold, the system triggers a verified fallback instead of guessing.