AI Discovery — 2-Day Intensive Course for Enterprise AI Integration
AI Discovery
2 days to understand where AI works in your company. And leave with a plan to make it happen.
An intensive in-person course. Not a webinar. Not a generic overview. Two days of hands-on work: understand how AI works, map your company's processes, and build a concrete action plan for integration. Go back to the office knowing exactly what to do.
Everyone talks about AI. Nobody tells you what to do with it in your company.
You've read articles. Watched demos. Maybe tried ChatGPT. Your management asks 'what can we do with AI?' and you don't have a concrete answer. Not because you're not capable — because nobody has ever shown you how to go from 'AI is the future' to 'here's where we deploy it, how much we save, and what it costs'.
Online courses teach you to write prompts. Conferences inspire you for half a day. But when you get back to the office, you're back to square one.
AI Discovery is different. In two days you work on your company's actual processes, with people who integrate AI for a living. And you leave with an action plan, not a certificate.
Who AI Discovery is for.
IT Managers and systems leads
You need to understand what it takes technically to bring AI into the company: architecture, connectors, security, resources. You leave knowing what to ask vendors and what to handle internally.
Innovation and operations managers
Management has tasked you with 'exploring AI'. You leave with a business case built on your own numbers, ready to present.
Business teams and key employees
Your company is sending you to understand how it works. You leave knowing how AI connects to the systems you use every day and where it can save you time.
01.
Understand AI. Map the opportunities.
From 'I talk about it but don't really get it' to 'I know exactly where it works in my company'.
How AI actually works
LLMs, RAG, computer vision, automation — explained without jargon, with live demos. Understand what's inside the box, not just what comes out.
What AI can do in a company (and what it can't)
Realistic expectations, concrete limitations, real use cases. The difference between what you read in the press and what actually works in a mid-market company.
Cloud vs on-premise vs edge computing
Where data is processed, what changes for privacy and performance, when cloud makes sense and when it doesn't. Real implications for your infrastructure.
AI Act: what companies need to know
The EU AI regulation explained practically. Real obligations, risk classification, documentation requirements. No panic, no legalese.
How to run an AI audit on your own processes
The method we use with our clients: how to map processes, identify bottlenecks, and assess where AI delivers real value.
Workshop: map your company's processes
Each participant works on their own company's processes. Map at least 3 areas and identify concrete AI opportunities. This isn't theory — it's your case.
How to calculate AI project ROI
Concrete templates and metrics: costs, timelines, expected savings, payback period. The numbers you need to decide — and to convince the decision-makers.
Presenting an AI project to management
How to build the business case: what to include, how to present it, which objections to expect. The document you need to go from idea to budget.
02.
Integrate AI. Build the plan.
How to go from theory to implementation. What it takes technically. How to manage the change.
Architecture of an enterprise AI system
How AI connects to ERP, CRM, email, documents. The complete diagram: components, data flows, integration points. Explained for people who need to understand, not code.
Connectors, APIs, databases: what an IT manager needs to know
What they are, how they work, what to ask a vendor. The minimum knowledge to evaluate a technical proposal without being a developer.
Live demo: on-premise AI in action
We query an ERP system in natural language using an on-premise RAG system. See it with your own eyes: the question, the process, the answer, the sources.
Data security and AI
Encryption, access control, data segregation, backup. How to ensure corporate data stays protected when AI accesses it.
Managing an AI project: timeline, phases, risks
What to expect from an AI integration project: realistic timelines, phases, hidden costs, typical risks. What to ask and what to demand from vendors.
Change management: getting the team to adopt AI
The real bottleneck isn't technology — it's adoption. How to prepare the team, handle resistance, and measure actual usage.
Final workshop: your AI action plan
Each participant builds their own AI action plan: priority processes, required architecture, estimated budget, timeline. The document you bring to the office on Monday morning.
Open Q&A with the Aitaky team
Open questions, specific cases, technical doubts. The team that integrates AI into companies every day answers your questions.
What you take home.
Not a certificate. Concrete tools.
- AI process map of your company — built by you during the course
- ROI calculation template for AI projects
- Business case ready to present to management
- AI action plan: processes, priorities, budget, timeline
- Access to the AI Discovery community for post-course questions
15 max
We keep the group small. Workshops require individual attention and discussions work better in small groups.
How it works.
Duration
2 intensive days (9:00 AM – 5:30 PM)
Format
In-person, maximum 15 participants
Where
AITAKY HQ — Via Germania 7, Int. 11, 35010 Vigonza (PD), Italy
Frequency
New edition every 4 months
Language
Italian (materials available in English)
What's included
Course materials, templates, coffee breaks, lunch
Why it's not an online course.
We could have made this a webinar. It would have been easier, more scalable, more convenient. But it wouldn't have worked.
AI is understood by experiencing it. Live demos — watching an ERP system queried in natural language, seeing data cross-referenced in real time — don't have the same impact on a 13-inch screen.
Workshops work when you're in the same room, working on your own processes, and can raise your hand and say 'how does this work in my specific case?' And the exchange with other participants — IT managers from different companies, with similar problems and different solutions — is worth as much as the course itself.
15 people, 2 days, zero distractions. That's AI Discovery.
Frequently asked questions.
IT managers, innovation leads, operations managers, and key employees who need to understand how to integrate AI into business processes. No advanced technical background required — just willingness to work on the topic hands-on.
No. The course is designed for people who need to understand, evaluate, and manage AI integration — not for developers. Technical aspects are explained accessibly, with live demos.
Contact us for participation details. The price includes both days, course materials, templates, coffee breaks, and lunch.
Every 4 months. Contact us for the dates of the next edition.
Maximum 15. We keep the group small because workshops require individual attention and discussions work better in small groups.
Yes, and it's recommended. An IT manager and an operations lead together get the most out of the course — one works on architecture, the other on processes. Contact us for dedicated conditions.
Sessions are conducted in Italian. Course materials and templates are also available in English.
Four concrete tools: your company's AI process map, an ROI calculation template, a business case ready for management, and an AI action plan with processes, priorities, budget, and timeline.
Yes. All participants get access to the AI Discovery community for post-course questions and discussion.
The next edition starts soon.
Places are limited to 15 participants per edition. Contact us for dates, the full program, and participation details.
Response within 1 business day