Conversational AI
& Multi-Agent Systems

I design, develop and deploy custom conversational AI and multi-agent systems — RAG pipelines, business chatbots, specialised agent orchestrators — for operational use cases in regulated environments.

💰 €15,000–€50,000 depending on complexity🔧 Vendor-agnostic stack — no vendor lock-in🎯 Guarantee: POC refundable if criteria not met
System typeApplication example
Document Q&A / RAGAgent answering compliance team questions on DORA/AI Act from your document corpus
Conversational chatbotClaims triage assistant (insurance), technical support (industry), employee onboarding (HR)
Multi-agent orchestratorCentral orchestrator coordinating specialised agents: sentiment + recommendation + planning
Augmented search engineSemantic search across your document base (contracts, procedures, audit reports)
CustomGPTPrivate, specialised LLM version for your domain (clinical, regulatory, supply chain)

Tangible proof, not promises.

🤖

Multi-agent recommendation platform

Tourisfair — orchestrates specialised agents (sentiment, recommendation, planning). Python, LLMs, RAG, CustomGPT. Production, EU+US multi-region.

🔍

RAG pipeline + search engine

Traveler reviews → LLM-based recommendation. Python, embeddings, PostgreSQL. Production — semantic search at scale.

💬

Messenger chatbot agent

Conversational travel planning. NodeJS, NLP, LLM orchestration. 1000+ user sessions in production.

📊

Sentiment analysis engine

"Feeling-based" search on user corpus. Python, ML, NLP. Production — real-time analysis.

🌐

SaaS platform 100k+ users

Wizipet — embedded AI features. Python, TypeScript (NestJS), Docker. 100,000+ users in production.

⚠️ "The LLM hallucinates on my regulated data"

Chain-IT implements strict RAG with guardrails, cited sources, and human validation on high-risk answers. No black box.

🔗 "I don't want to be locked into OpenAI"

Agnostic stack — I work with all LLMs and design for vendor switching with zero exit cost.

⚖️ "How do I put this in production in a regulated environment?"

25+ years of experience in GAMP5, FDA, 21 CFR Part 11 → traceability, audit trail, validation built into the architecture.

👤 "The agent runs wild without supervision"

Human-in-the-loop designed in from day one. The agent proposes, the human validates. No autonomy on risky decisions.

From scoping to production in 4 structured phases.

  • Week 1 — Scoping

    Business + IT interviews. Data review. Target architecture.

    Volume, quality, sensitivity. SI constraints. Functional scope.

    ✅ Functional spec + architecture validated
  • Weeks 2–4 — Structured POC

    First agent or pipeline development. Real user testing.

    No fake demos. Real users, real cases, real feedback. Fast iterations.

    ✅ Functional POC with real users
  • Weeks 5–8 — Production

    SI integration (SSO, ERP, API). Security hardening. Monitoring.

    Logs, alerts, backup, non-regression. Technical documentation.

    ✅ System in production + runbook
  • Week 9 — Handover

    Internal team training. Documentation. Post-go-live support.

    2-week post-production support. Autonomous team.

    ✅ Team trained and autonomous
Insurance

DORA compliance RAG agent

Instant answers for legal/compliance teams on contracts and regulations.

📉 Time reduction: 70%
Insurance

Claims triage chatbot

Automatic qualification, routing, key information extraction.

📉 Cost reduction: 30–50%
Industry

Predictive maintenance agent

Sensor log analysis, intervention recommendations before failure.

📉 Unplanned downtime: –20–40%
Logistics

Supply chain assistant

Route optimisation, anomaly detection, corrective proposals.

📉 Logistics costs: –10–20%
Cross-sector

Augmented internal knowledge base

Employee Q&A (HR, IT, procedures).

📉 Support tickets: –40%

Document Q&A / RAG

Simple, 1 document source

€15k–€20k

PythonEmbeddingsStandard LLM

Conversational chatbot

Business, 1 use case

€20k–€30k

LLM + RAGWeb/mobile interface

Multi-agent system

2–3 orchestrated agents

€25k–€40k

OrchestratorMultiple LLMsVector DB

Critical regulated system

Integrated governance, audit trail, validation

€30k–€50k

TraceabilityGAMP5-alignedValidation
  1. Qualification call (30 min) — You describe your use case, I tell you if it's a good fit
  2. Technical proposal — Architecture, timeline, budget, guarantees
  3. Scoping — We define specifications together (1 week)

Have an AI use case?

Chain-IT has designed and deployed multi-agent systems in production. Let's build yours.