How do you guarantee AI answer quality?

RAG architecture (Retrieval Augmented Generation): answers are based on YOUR content, not on the model's memory. Sources are cited. Quality tests run continuously. Users can feed back issues.

How much does a Smotly AI project cost?

An AI POC: 15-40 kEUR over 4-6 weeks. A production agent integrated with your tools: 60-200 kEUR. Continuous enrichment through AI MCO. Estimation form -> reply within 48 hours.

What are the limits of current AI?

Hallucinations (mitigated by RAG), token costs to calibrate, model bias and dependency on cloud providers, which is why we also consider open-source alternatives. We are transparent about what works and what does not.

AI & automation service

AI serving your business processes.

AI agents on your knowledge base, recurring-task automation, content enrichment, assisted support and team copilots. Pragmatic, measurable solutions, not buzzwords. Useful, secure, measured.

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Who it's for

Our AI offers.

AI agent on your content

A RAG chatbot fed by your documentation, FAQ and products. Sourced answers, no hallucinations. Automated customer support and request qualification.

Support · Marketing

Semantic search

A search engine that understands intent, not only keywords. Catalogs, documents, support tickets.

Product · Support

Business process automation

n8n + LLM to classify, enrich and route. Sales process optimization (lead qualification, personalized follow-up), customer service automation.

Ops · Support · Sales

E-commerce & CMS

Product description generation, translations, tags, SEO. Smart recommendations. Humans stay in control.

Marketing · E-commerce

What we build

Our AI method.

Technology expertise + strategic vision. Pragmatic, measurable solutions, not slideware.

Choosing the right model

Claude, GPT-4, Mistral, Llama: no dogma
Open source when relevant (sovereignty, cost)
Fine-tuning only when RAG is not enough
Token budget under control

Integration with your tools

CRM, ERP, support and CMS connection
n8n to orchestrate workflows
Webhooks and API-first
Logs and traceability for AI decisions

Security & governance

Data stays inside your environment when needed (self-hosted option)
PII anonymization
GDPR compliance
Roles and permissions for who can trigger what

Measurement & improvement

Business KPIs (processing time, CSAT, conversion)
Human vs AI A/B testing
User feedback loop
Shared ROI dashboard

Agent architecture

AI that works for your teams.

Not a chatbot. A mesh of specialized agents orchestrated by a central hub, supervised by humans and integrated into your ecosystem.

AI orchestration

8 specialized agents · 1 hub

Live

Audit

Content

Support

Flow

Convo

Guard

Auto

Ops

1 284

tasks / day

100%

human decides

×4

velocity

Human review

Zero critical hallucination

Agents, not a chatbot

Each agent specializes in a precise task: audit, generation, analysis or routing. They work together, not in silos.

Human in the loop

No agent decides alone on a critical action. Human validation covers every output that reaches production.

Integrated into your SI

Agents talk to your tools: CRM, ERP, support, analytics and documentation through n8n or MCP, without a rebuild.

Complete observability

Every prompt, decision and output is logged, audited and replayable. GDPR and AI Act compatible.

Training & support

Train your teams in generative AI.

Useful AI is adopted AI. Our training and support help your teams take ownership of generative AI tools without depending on an external provider for every step.

Introductory workshops

A practical introduction to generative AI for your teams, with use cases adapted to your sector.

Prompt training

Prompting best practices, security, model limits and hands-on exercises.

Workflow integration

Support integrating AI tools into existing workflows (CRM, office tools, CMS).

FAQ

Questions we often hear.

Only yours, with your explicit consent. Self-hosted deployment is possible to ensure data does not leave your environment. No fine-tuning without authorization.

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