AI Adoption Program

Turn AI into real business capability.

AI has moved from optional experiment to essential capability. The question is no longer if your organisation will adopt AI, but whether you will do it well.

Aperta helps teams and leaders move from experimentation to structured, production-ready AI adoption. We don't offer generic training. We deliver tailored adoption based on your real systems, workflows and goals.

AI Adoption Programme
3 tracks
🎯
AI Leadership
4 weeks · 2 training days
Leaders
🛡
AI Governance
4 weeks · 2 training days
CTOs
Agent Systems
5 weeks · 3 training days
Devs
02
Our approach

Training, application and guidance — into one clear outcome.

Every engagement starts with an intake and results in a tailored programme. No off-the-shelf courses.

Practical application

Real workflows and hands-on exercises with your team — not theoretical frameworks.

First principles

Deep understanding of how AI works, not just a list of tools to use.

Real workflows

Examples from your business, integrated into the systems you actually use.

Business impact

Measurable outcomes aligned with your strategic goals — not hype.

03
How it works

Three phases of structured adoption.

From intake to delivery to ongoing support — every step is designed for maximum impact.

3.1
Intake & assessment

We start with a focused intake session to understand your context, goals and constraints. This ensures every training is tailored and directly applicable.

Assessment of your current tools, infrastructure and workflows
Identification of high-impact AI opportunities
Definition of clear, measurable outcomes
Alignment on team composition and level
3.2
Tailored training programme

Based on the intake, we design a programme combining training, exercises and real use cases from your organisation. Each programme is delivered over several weeks, allowing teams to apply what they learn between sessions.

3.3
Optional follow-up & support

For organisations that want to go further, we provide ongoing support:

Hands-on guidance during implementation
Review of AI use cases and outputs
Help with tooling, prompting and workflows
Regular check-ins and co-working
04
Programmes

Each tailored to your role and goals.

Each programme can be taken independently and is tailored to your organisation.

4.1

AI Leadership

4 weeks — 2 training days

For business leaders and decision-makers responsible for AI adoption.

Focus
Understanding AI capabilities and limitations
Making informed investment decisions
Defining AI strategy and roadmap
Leading AI initiatives across teams
Aligning AI with business objectives
You gain the clarity and confidence to lead AI adoption at organisational level.
AI Leadership · 5 focus areas
Leaders
Programme modules
01
AI Capabilities & Limitations
Strategy
02
Investment Decision-Making
Finance
03
AI Strategy & Roadmap
Planning
04
Cross-Team AI Initiatives
People
05
Business Objective Alignment
Impact
4.2

AI Governance

4 weeks — 2 training days

For CTOs, technical leads and QA professionals responsible for reliability and compliance.

Focus
Risk management and model evaluation
Governance frameworks and policies
AI quality, validation and monitoring
Compliance (including EU AI Act context)
Defining guardrails for safe AI usage
You can govern AI systems responsibly and ensure reliability at scale.
AI Governance · 5 focus areas
CTOs / QA
Programme modules
01
Risk Management & Model Eval
Risk
02
Governance Frameworks
Policy
03
Quality, Validation & Monitoring
QA
04
Compliance — EU AI Act
Legal
05
Guardrails for Safe AI Usage
Safety
4.3

Agent Systems

5 weeks — 3 training days

For developers and technical teams building AI-powered systems.

Focus
Working with LLMs in production
Prompting and context engineering
Designing and orchestrating AI agents
Building reliable AI workflows
Integrating AI into existing systems
You can design and implement production-ready AI systems and workflows.
Agent Systems · 5 focus areas
Developers
Programme modules
01
LLMs in Production
Core
02
Prompting & Context Engineering
Craft
03
Agent Design & Orchestration
Build
04
Reliable AI Workflows
Systems
05
Integration into Existing Systems
Deploy
05
What makes Aperta different

We are not consultants.
We are practitioners.

Everything we teach comes from systems we build and use in real-world production.

Built on real-world production

We build and run AI systems ourselves and teach only what we use in real-world production — focused on practical implementation, not theory.

Private AI community of clients

You get access to our private AI community where teams exchange questions, learn from each other and share experiences openly and directly — we step in only when needed.

Our goal is not to teach AI.
Our goal is to make your organisation capable of working with it.
06 — Start with a conversation

Every programme starts with an intake to ensure strong fit and maximum impact.

If you want to turn AI into real business value — and do it properly — start with a conversation.