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Consulting, strategy and process improvement

Invite me to your organization for personalized training

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Quality System Enhancements
QMS Optimization, Design Transfer & TMV Support, Supplier Management, Change Control & CAPA Systems, etc..

Harnessing the Power of AI in Training and Development

Boutique sessions (3–5 participants) focused on AI adoption, risk management, and compliance.
Custom training programs for QA, RA, R&D, and Operations teams.

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AI in MedTech COPILOT microsoft 365 workshops
Full-day in-person/remote building Copilot Agents using QABOOST Methodology.

Services for the responsible implementation of artificial intelligence in quality systems

Once you get past the understanding stage, the real question is not whether to use AI but how to do it right, in stages, and without introducing unnecessary risks into the quality system. Our services were built from working with quality, regulatory, and management teams,
And allow the organization to move forward with confidence: from the diagnosis stage to controlled implementation that also withstands scrutiny.

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AI Quality Assessment

Controlled implementation support until audit readiness, hands-on support for teams moving from the planning phase to actual use.  

 

What the service includes:

Supporting QA and Process Owners, defining Human-in-the-Loop points, training users on correct and defined usage, preparing for expected audit questions

 

  What you will get in the end:

Controlled, not “improvised” use, a team that knows how to explain what they are doing and why, and an implementation that does not fall apart under the pressure of criticism.

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AI Governance & Control Framework

A practical approach to validation that doesn't try to prove impossible things.

 

What the service includes:

Defining a risk-based validation strategy, determining behavioral Acceptance Criteria, building test scenarios (including edge cases), connecting to IQ/OQ/PQ where relevant – without overloading

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What you will get in the end:

An explainable validation framework, documentation that speaks the language of an auditor, confidence that the AI is controlled, even if it is not deterministic, is suitable for organizations that introduce AI into significant quality processes.

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Validation Strategy for AI Tools

Building a control framework for AI within the QMS is not a theoretical policy but a framework that works on a daily basis.  

 

What the service includes:

Defining Intended Use and Out of Scope for each use, clear division of responsibility: QA, IT, management and users, defining operational controls, monitoring usage and triggers for revalidation, connection to existing QMS documents (procedures, change control, training)  

 

What you will get in the end:

A clear framework that allows the use of AI without a "gray area" A uniform language between quality, IT, and management A strong foundation that also holds up to scrutiny Suitable for organizations that already use AI and want control, not firefighting.

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Audit Ready AI Implementation

AI utility mapping and regulatory risk assessment
A focused and brief examination that aims to understand where the organization really stands today.


What the service includes:
Mapping existing AI uses (including “unofficial” ones), classifying Use Cases by risk level and impact on quality decisions
Identifying gaps against regulatory requirements and audit expectations, distinguishing between permitted, borderline, and problematic uses


What you will get in the end:
A clear picture of the situation, a focused list of risks, a practical recommendation: what to stop, what to regulate, and what can be expanded.
Suitable for organizations that want to understand the situation before deciding on implementation or investment.

Let’s Work Together

Get in touch so we can start working together.

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