Manual processes in.
Working software out.
OltenAI builds custom LLM pipelines for small and mid-sized companies: knowledge bases, document extraction, support and workflow automation. GDPR-compliant, EU-hosted or on-premise — with a working prototype in 2–4 weeks.
FIG. 1 — TYPICAL OLTENAI PIPELINE: UNSTRUCTURED INPUT → VALIDATED OUTPUT
Six ways SMBs put language models to work
Each service is a page of its own — with the problem it solves, how it works and what it needs. Every project starts with a free audit.
Knowledge base (RAG)
Chat with your own documents. Employees get sourced answers from manuals, wikis and contracts in seconds instead of searching folders for hours.
IN: PDFs, wikis, manuals, ticketsOUT: sourced answers in secondsSERVICE — EXTRACTION
Document & data extraction
Invoices, orders and forms read themselves. AI turns scans and PDFs into validated, structured records inside your ERP or accounting system.
IN: invoices, orders, forms, scansOUT: validated records in your ERPSERVICE — SUPPORT
AI customer support
Tier-1 questions answered instantly, in 30+ languages, grounded in your own documentation. Your team keeps the cases that need judgment.
IN: tickets, chats, mailsOUT: instant answers, clean escalationsSERVICE — TRIAGE
Email & inbox automation
Shared inboxes that sort themselves. AI categorizes, routes, extracts order data and drafts replies — a human approves, nothing disappears.
IN: info@, sales@, support@ mailOUT: routed mail, drafts, extracted dataSERVICE — WORKFLOWS
Workflow automation
Recurring multi-step office processes become monitored n8n workflows with LLM steps: quotes, reports, data sync, meeting notes into the CRM.
IN: recurring manual processesOUT: monitored automated workflowsSERVICE — STRATEGY
AI consulting & EU AI Act
From "we should do something with AI" to a prioritized roadmap: use cases with ROI estimates, model selection, GDPR and EU AI Act obligations mapped.
IN: "we should do something with AI"OUT: prioritized roadmap + compliance map
How we build
Data protection is architecture
Model choice, hosting and data flows are designed around GDPR from day one — EU cloud or your own hardware, contracts excluding training use.
No island solutions
AI that lives outside your ERP, CRM and mail is a toy. We build into the systems your team already uses.
Payback decides the use case
We only build automations whose saved hours are measurable. If AI is the wrong tool for your problem, we say so.
Working software before big contracts
Within 2–4 weeks you test a working prototype on your real data — then you decide.
From first call to running system
Discovery call
30 minutes on your processes and bottlenecks. We identify the use case with the fastest payback — free and without obligation.
Proof of concept
A working prototype on your real data within 2–4 weeks. You validate the value before committing further.
Integration
The solution is wired into your existing systems via API, your team gets trained, guardrails go live.
Operations & tuning
Monitoring, prompt and model updates, quality reports — we keep it running or hand it over to your team.
Tools we build with
Frequently asked questions
Is our company data safe with LLM automation?
Yes, if the architecture is built for it: EU-hosted or on-premise models, contracts that exclude training use, and data flows documented for your GDPR records. That is our default setup, not an add-on.
How fast do we see results?
The first working prototype runs on your real data within 2–4 weeks. You evaluate actual output — not slides — before any larger commitment.
What does a project cost?
The 30-minute initial audit is free. Prototypes are fixed-price after the discovery call, sized to the use case. Ongoing operations are optional — your team can take over.
Can everything run on our own servers?
Yes. Open-weight models (e.g. Mistral) and self-hosted components like n8n, pgvector and Qdrant allow fully on-premise setups when data must not leave the house.
Get a free 30-minute AI audit
We look at your processes, name the use case with the fastest payback and tell you honestly if AI is not the right tool. No slides, no obligation.
Or write directly: hello@olten.ai