Find processes that can be automated, estimate the potential impact, and get a solution architecture — without a long pre-sale.
AI finds → estimates → proposes an architecture
Demo
Describe a routine process — AI will show where the automation points are.
AI audit
Five quick steps — and you'll see automation scenarios, their potential, and a solution architecture.
Pick an area — the next questions will adapt to your answer.
Rough estimates are fine — we'll verify the numbers during the audit.
How often is this task performed?
How long does one operation take?
How many employees work on this?
You can pick several options.
Where should data be processed?
You don't have to be a CTO — "Not sure" is a valid choice.
You can pick up to two options.
Preliminary estimate. Not a commercial offer.
We'll verify the scenario's economics, architecture, and risks, and propose the next step.
Solutions
Concrete AI solutions for concrete processes — with measurable impact.
Classification, instant customer replies, escalation of complex cases to an operator.
Data extraction from contracts, invoices, and applications; automatic filling of accounting systems.
Answers to employee questions from the internal knowledge base — with links to sources.
AI agents take over the repetitive operations employees do by hand.
Finding patterns in data, automated reports, demand and workload forecasting.
Running models inside your perimeter when data cannot leave the company.
Cases
Generalized implementation results — without naming client brands.
AI classifies and routes requests; standard replies go out without an operator.
Automatic data extraction from shipping documents and reconciliation with the accounting system.
From process audit to a working AI support pilot — in a month and a half.
Detailed case studies — on request.
About
AIXIO implements artificial intelligence in the processes of small and mid-sized businesses. We don't sell "AI for AI's sake": every project starts with an audit where we find processes with real automation potential and calculate the economics before development begins.
From audit to a working pilot it takes 4–8 weeks. We work with both cloud models and on-prem deployments inside the client's perimeter — for cases where data cannot leave the company.
Our principle is simple: first we calculate the economics, then we write code. So instead of a 40-slide deck you get an AI Opportunity Map — a map of opportunities with numbers, architecture, and risk assessment.