Judgement
From Blind Habit to Intentional Co-Partner
Does the human process matter here?
Participants audit their own work, calculate their AI time tax, and apply judgement before reaching for a tool.
Educational Programme Designed For Regulated Industries
Inspiration Is Not Capability
Your team has seen the demos. The question your leadership team is now asking is harder: How does AI improve performance without compromising compliance, quality or audit-readiness?
Our education programme covers:
-
CPD accredited Micro Diploma
-
Masterclasses
-
Copilot Training
-
Claude for Enterprises
Micro-Diploma
Masterclasses
Copilot Training
Claude Training
CPD Accredited - 4 Modules - 12 Hours
Applied Generative AI Micro Diploma
A four-module programme for leaders and professional teams in regulated industries. Built around judgement before tools and capability that earns trust under audit. In twelve hours, with frameworks your team can apply, document and defend
Technical Literacy
The Intelligent Foundation
Can AI reliably do this?
Plain-English literacy that lets non-technical leaders evaluate vendor claims, internal proposals and risk exposure.
Compliance & Risk
Trust by Design Does the governance allow it?
EU AI Act, GDPR, NIST AI RMF and Ireland's Seven Principles; translated for professionals operating inside QMS and change-control environments.
Applied Practice
Your AI Advantage
How do we make this sustainable?
Participants leave with a governed pilot plan; a real use case from their own role, ready for leadership sign-off.
When Compliance Is Not Optional
The Regulatory Context
EU AI Act: Article 4
Already in Force. Organisations deploying AI must ensure staff have sufficient AI literacy.
Regulation of AI Bill 2026
In Motion. General scheme, supervision and enforcement of AI systems.
GDPR · NIST AI RMF
Mapped · Ireland's Seven Principles. Aligned to QMS, change-control and validation frameworks.
Governance Than Enables Adoption
Tools Without Judgement
Most AI training teaches tools in isolation. Teams learn to prompt, but not when to prompt.
They learn features, but not risk. The outcome is organisations that are technically active but strategically exposed, particularly in environments where governance is non-negotiable.
Proprietary Frameworks
Methodology They Can Apply.
Participants leave with four proprietary frameworks, that they can apply, document and teach.
Framework 1 - GenAI Decision Framework
Three operational questions to evaluate whether AI should be involved in any task.
Framework 2 - CORE Prompting
Structured prompting that produces accurate, actionable outputs requiring minimal human refinement.
Framework 3 - Governance Action Plan
Practical commitments mapped to the regulations the team already operates within.
Framework 4 - ADOPT-AI Canvas
A one-page pilot brief that validates high-impact use cases and reduces risk before full implementation.
Common Questions
Is this programme suitable for non-technical leaders?
Yes. The programme is built for senior leaders and managers who need to make sound decisions about AI, not build it. Module 2, The Intelligent Foundation, gives participants the plain-English technical literacy to evaluate vendor claims, challenge internal proposals and assess risk exposure, without requiring a technical background. Sector specific updates
How does this work in a regulated environment like pharma or financial services?
The programme is tool-agnostic and judgement-first, developed specifically for organisations where governance is non-negotiable. Module 3 — Trust by Design — maps EU AI Act requirements, GDPR, NIST AI RMF and Ireland's Seven Principles directly to the QMS, change-control and validation frameworks your team already operates within.
What does each participant actually leave with?
Each participant completes the ADOPT-AI Canvas — a one-page governed pilot brief built around a real use case from their own role. It is ready for leadership sign-off on the day. The programme also equips participants with three additional proprietary frameworks they can apply, document and teach internally.
How is the programme delivered and how long does it take?
The programme runs across four modules — twelve hours in total — delivered as two consecutive days or across two weeks, depending on what suits your organisation. Cohorts are capped at fifteen participants. Before delivering the programme; we assess your team profile, operational context and regulatory obligations.
Is this CPD accredited?
Yes. The programme carries CPD accreditation and is available with 12 documented CPD credits for participants who require formal continuing professional development records. Standard completion is also available for organisations where CPD documentation is not a requirement.
12 Credits
CPD Accredited
CPD accreditation available for participants requiring documented continuing professional development hours.
Skillnet funding may apply for eligible Cork Chamber members.
Focused Learning
Masterclases
Our half‑day masterclasses help leadership teams close specific AI capability gaps, prepare for regulation, and build shared understanding. Each is delivered by a senior practitioner, tailored to your sector, and organised into three pathways that build connected capability from AI Literacy for Leaders through to Judgement Before Automation.
Pathways can be mixed across functions or combined into an organisation‑wide programme matched to your team profile and readiness.
The Leadership Path
1. AI Literacy for Leaders: For senior leaders and executive teams, building the strategic literacy to lead AI adoption confidently, assessing vendor claims, setting direction, understanding regulation and asking the right questions.
2. AI Strategy in Practice: Move from awareness to structured adoption by linking generative AI to commercial goals, building internal capability, and creating conditions for sustained use.
3. Governed by Design: Equip leaders to set AI policy, assign accountability, and ensure activity is auditable, responsible, and commercially grounded.
4. Judgement Before Automation: Critical thinking tools for leaders to decide when AI should be used and how that judgement shapes team culture and standards.
Designed for the leaders who set direction, own accountability and need to build the strategic literacy and governance confidence to lead AI adoption across their organisation.
The Compliance Path
1. AI Literacy for Leaders: This builds shared understanding what of generative AI can and cannot do in governed environments and gives leaders the language and judgement they need before making adoption decisions.
2. Compliance Without Paralysis: Turns EU AI Act, GDPR, NIST AI RMF and Ireland’s Seven Principles into clear, actionable steps for your team, mapped to the QMS, change-control and validation processes you already use.
3. Governed by Design: How to build an AI governance framework that enables adoption, with policies, oversight, accountability and audit-ready documentation aligned to your regulatory context.
4. Judgement Before Automation: Critical thinking tools for AI‑enabled work, giving professionals a clear decision model for when to use AI, when not to and how to document their reasoning.
For QA, Regulatory and Legal teams working in QMS, change-control and regulated environments where AI must be clearly governed and audit-ready.
The Operations Path
1. AI Literacy for Leaders: Contextualised for operations, manufacturing and finance teams, focusing on what generative AI can deliver in process‑driven environments, where the risks are, and how to assess proposals from vendors or internal teams.
2. Applied GenAI: From Pilots to Production: Move generative AI from controlled experiments to live operations using real use cases from your environment, building the evidence and governed pilot structure to go from proof of concept to embedded practice.
3. Data Integrity in the Age of AI: Understand data quality, accuracy, privacy and readiness for AI, including what AI needs from your data, where exposure sits, and how to maintain integrity across the AI lifecycle in regulated settings.
4. Judgement Before Automation: Critical thinking tools for AI‑enabled work, giving professionals a clear decision model for when to use AI, when not to, and how to document their reasoning.
For Operations, Manufacturing and Finance teams responsible for process performance, data integrity and delivery where AI must be practical, measurable and risk‑managed.
Structured Adoption
Enterprise Trainings
Most organisations already have AI tools in the building. Most do not have the adoption framework, use case governance or compliance understanding to use them well in regulated environments. These trainings close that gap.
Copilot Training
Our Copilot Training is tailored for regulated industries and focuses on compliance, data safety and productive application across drafting, content summarisation and data analysis.
Claude Training
We support implementation, integration and the governance framework your team needs to deploy it responsibly in a regulated environment.
Ready to Build AI Capability Your Leadership Can Trust?
Talk to our team about what a structured, bespoke programme looks like for your organisation.