The Semitora Path

Three levels. One path — from diagnosis to a working system.

We start with a paid audit, because free analyses end in a sales offer, not in knowledge. Every level has a clear scope, outcome and pricing model.

Level 01

AI readiness audit + AI Act compliance

Your paid first step. In 2–4 weeks we find where AI brings you real value and where you stand on the AI Act — so you decide on facts, not promises. We map your processes and uncontrolled AI use (“shadow AI”), classify systems by risk, and build a prioritised implementation plan. Optionally, we close it with a proof it works (PoC) on your data.

What you get

✓A process map with AI potential and a full “shadow AI” inventory
✓AI Act-compliant risk classification of your systems
✓An implementation roadmap with priorities, costs and estimated ROI
✓Architecture recommendations and a funding model (grants)
✓An optional PoC on your company's real data

Level 02

Production implementation

We build and launch systems that run in production — not a demo on a slide. Architecture, code, integrations, security and knowledge transfer. We deliver a working system, not a presentation.

What you get

✓RAG on your knowledge bases — answers from your documents, with sources
✓Customer service automation (chat, e-mail, internal helpdesk)
✓Connecting AI to the systems you already run (ERP, CRM, DMS)
✓Cloud backend on AWS — production-grade architecture
✓Web and mobile applications where you need them

Level 03

Retainer — ongoing care

An unattended AI system degrades: data, models and regulations keep changing. The retainer keeps answer quality, compliance and team skills up — on a fixed, predictable subscription.

What you get

✓AI governance — policies, roles, human oversight
✓RAG quality maintenance and monitoring (evaluations, knowledge base updates)
✓Continuous AI Act compliance as systems and regulations change
✓Team training — AI literacy required by the AI Act
✓Priority support and system development

Not sure which level to start with?

The answer is almost always the audit. It's the cheapest way to make AI decisions based on facts, not promises.

Book an AI audit