Helping companies achieve EU AI Act compliance

As a Director at AI & Partners, Europe's leading professional services firm for firms subject to the EU AI Act, this leverages 10+ years of experience in financial services, compliance, and technology to help clients navigate the complex and evolving regulatory landscape of AI. This includes a strong passion for responsible AI and its potential to create positive social impact, while minimizing its risks and challenges.

In addition to this role at AI & Partners, responsibilities include serving as a IoD Finance and FinTech Ambassador and an AI 2030 Chapter Advisor, where contributions are made to the development and dissemination of knowledge, best practices, and policy recommendations on AI and FinTech. Additionally, a Master of Laws in Financial Regulation and Compliance, an Oxford FinTech Programme certificate, and a Google Cloud Introduction to Responsible AI certificate are held, among others. Other skills include being a prolific writer and speaker on topics related to AI, FinTech, and compliance, having published multiple articles and delivered several presentations at various events and platforms.

AI & Partners - 🌍 Excited to Speak at Media Law International’s Sixth Annual Global Conference (AGC6)! 🎤

I’m honoured to be joining an incredible lineup of industry leaders at Media Law International’s Sixth Annual Global Conference (AGC6) on 7 May 2026 — a premier gathering of global media law professionals, including CNBC! 🚀✨ 

This event brings together senior decision-makers, in-house legal teams, founders, CEOs, and thought leaders to explore the trends shaping the future of media, technology, regulation and legal practice. 🌐👩‍⚖️ Whether you’re seeking fresh insights, deep industry connections, or vibrant discussions on the evolving media landscape, this is one not to miss! 

I’m truly grateful for the opportunity to speak alongside such distinguished professionals — thank you to Media Law International,  and Mediaspace.global for inviting me to contribute. 🙏💡 

👉 Why you should attend:
✨ Gain thought-leadership insights from global experts
🤝 Expand your network with senior leaders and innovators
📈 Engage in conversations that will shape the media and legal ecosystem 

Don’t miss this chance to be part of a meaningful and forward-looking conversation — see you there! 💼🎟️

https://lnkd.in/eybCAUc3?

#AGC6 #MediaLaw #Networking #LegalInnovation #ThoughtLeadership Kinga Incze Zineb Serroukh-Ouarda

Michael Charles Borrelli

AI & Partners - Excited to see The Economist Impact convene finance and business leaders in London this March for:
➡️ AI for CFOs Summit
➡️ AI & Business Innovation Summit
📍 Convene 155 Bishopsgate

Two days focused on turning AI into real enterprise value — from forecasting and automation to governance and scalable innovation.

Looking forward to the insights and conversations.

Find out more > https://lnkd.in/eEk_ykHT

Hannah Flynn

TE-PR

AI & Partners - It’s officially live.

In collaboration with the Fin.Tech Marketing Community , we’ve launched the EU AI Act Learning Course — now open for registration.

If you’re operating in the UK or Europe, working with European clients, or leading teams that use AI across marketing, product, or data this is no longer optional. The EU AI Act is here, and understanding its impact is now a leadership responsibility.

I’m seeing ambitious teams move fast with AI adoption - but without full clarity on risk categorisation, governance structures, and accountability. That’s exactly why we built this course: to bridge the gap between regulatory theory and practical business execution.

Here’s what you’ll gain:

🔹 Clear understanding of AI risk “buckets” and what applies to your organisation
🔹 Governance frameworks that enable innovation without exposing your business to heavy non-compliance fines
🔹 A practical assessment and certification to confidently lead your team’s transition

🔥 We’re offering a 50% Launch Discount until 13 March 2026  and we’re already seeing strong early interest.

Ready to lead the transition? Check out the course brochure here - https://lnkd.in/e5yKrJS2

Mounika Dasetty

Open article: Download the EU AI Act Course Brochure by fintecb2bmarketing-8580337.hs-sites.com

Fin.Tech Logo (White Logo) for dark backgrounds-01

AI & Partners - 🚨 [REPORT]: QUALITY Management Systems for AI under the EU AI Act (Hint: AI quality is not about model accuracy. It’s about sustained control.]

✅AI systems are now embedded in healthcare, finance, manufacturing, and public administration.

But as adoption accelerates, one issue is becoming unavoidable:

⚠️ 𝐖𝐡𝐨 𝐢𝐬 𝐀𝐂𝐂𝐎𝐔𝐍𝐓𝐀𝐁𝐋𝐄 𝐟𝐨𝐫 𝐀𝐈 𝐛𝐞𝐡𝐚𝐯𝐢𝐨𝐮𝐫 𝐨𝐧𝐜𝐞 𝐢𝐭 𝐥𝐞𝐚𝐯𝐞𝐬 𝐭𝐡𝐞 𝐥𝐚𝐛?

Our new report, “EU AI Act – Quality Management Systems: Facilitating AI System Outputs,” examines how organizations can operationalize governance under the EU AI Act — moving from abstract COMPLIANCE requirements to structured, lifecycle-based control.

𝐅𝐫𝐨𝐦 𝐅𝐫𝐚𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐂𝐨𝐧𝐭𝐫𝐨𝐥𝐬 → 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞𝐝 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞
Many organizations approach AI quality incrementally:
 — Controls differ across teams
 — Data governance is inconsistent
 — Intended purpose is loosely defined
 — MONITORING is reactive

A mature AI Quality Management System (QMS) changes this by embedding GOVERNANCE across the full lifecycle:
— Design and change control
— Structured development and validation
— Data management with traceability
— Risk integration across functions


𝐐𝐮𝐚𝐥𝐢𝐭𝐲 𝐈𝐬 𝐚 𝐒𝐲𝐬𝐭𝐞𝐦, 𝐍𝐨𝐭 𝐚 𝐂𝐡𝐞𝐜𝐤𝐥𝐢𝐬𝐭
The report highlights three foundational principles:
1. 𝑳𝒊𝒇𝒆𝒄𝒚𝒄𝒍𝒆 𝑻𝒉𝒊𝒏𝒌𝒊𝒏𝒈
AI risks evolve in operation. Monitoring, feedback loops, and corrective mechanisms must be embedded — not improvised.

2. 𝑫𝒊𝒔𝒕𝒓𝒊𝒃𝒖𝒕𝒆𝒅 𝒃𝒖𝒕 𝑫𝒆𝒇𝒊𝒏𝒆𝒅 𝑹𝒆𝒔𝒑𝒐𝒏𝒔𝒊𝒃𝒊𝒍𝒊𝒕𝒚
Makers, users, and suppliers each hold differentiated obligations. Governance fails where accountability is ambiguous.

3. 𝑷𝒓𝒐𝒑𝒐𝒓𝒕𝒊𝒐𝒏𝒂𝒍𝒊𝒕𝒚 𝑩𝒂𝒔𝒆𝒅 𝒐𝒏 𝑬𝒗𝒊𝒅𝒆𝒏𝒄𝒆 𝒐𝒇 𝑪𝒐𝒏𝒕𝒓𝒐𝒍
More documentation does not equal better governance. What matters is demonstrable oversight, traceability, and the practical ability to intervene.

𝐀 𝐥𝐢𝐯𝐢𝐧𝐠 𝐀𝐈 𝐠𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐬𝐲𝐬𝐭𝐞𝐦……
1. Under the EU AI Act, AI quality management is not a static compliance artefact. 
2. It is a living governance system that integrates legal, technical, and operational decision-making.
----- Accuracy alone is not sufficient.
----- Documentation alone is not sufficient.
----- Intent alone is not sufficient.

𝐀𝐈 𝐪𝐮𝐚𝐥𝐢𝐭𝐲 𝐮𝐥𝐭𝐢𝐦𝐚𝐭𝐞𝐥𝐲 𝐦𝐞𝐚𝐧𝐬:
 + Clear responsibility.
 + Sustained monitoring.
 + Structured intervention when real-world behaviour changes.

------------------------------------------

With contributions from:
+ Sean Musch, AI & Partners 
+ Michael Charles Borrelli, AI & Partners
+ Michael Charles Borrelli, CMS UK 
+ Chakib Achour
+ Dr. Ian Gauci
+ Jacek Kotarbinski, PhD
+ Yonah Welker 

-------------------------------------------------------

💬 Question for peers and governance leads:
Is your AI oversight framework a documented policy?

#ArtificialIntelligence #AIForBusiness #Digital #Manufacturing #Automotive

🚨 [REPORT]: QUALITY Management Systems for AI under the EU AI Act (Hint: AI quality is not about model accuracy. It’s about sustained control.]

✅AI systems are now embedded in healthcare, finance, manufacturing, and public administration.

But as adoption accelerates, one issue is becoming unavoidable:

⚠️ 𝐖𝐡𝐨 𝐢𝐬 𝐀𝐂𝐂𝐎𝐔𝐍𝐓𝐀𝐁𝐋𝐄 𝐟𝐨𝐫 𝐀𝐈 𝐛𝐞𝐡𝐚𝐯𝐢𝐨𝐮𝐫 𝐨𝐧𝐜𝐞 𝐢𝐭 𝐥𝐞𝐚𝐯𝐞𝐬 𝐭𝐡𝐞 𝐥𝐚𝐛?

Our new report, “EU AI Act – Quality Management Systems: Facilitating AI System Outputs,” examines how organizations can operationalize governance under the EU AI Act — moving from abstract COMPLIANCE requirements to structured, lifecycle-based control.

𝐅𝐫𝐨𝐦 𝐅𝐫𝐚𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐂𝐨𝐧𝐭𝐫𝐨𝐥𝐬 → 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞𝐝 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞
Many organizations approach AI quality incrementally:
 — Controls differ across teams
 — Data governance is inconsistent
 — Intended purpose is loosely defined
 — MONITORING is reactive

A mature AI Quality Management System (QMS) changes this by embedding GOVERNANCE across the full lifecycle:
— Design and change control
— Structured development and validation
— Data management with traceability
— Risk integration across functions


𝐐𝐮𝐚𝐥𝐢𝐭𝐲 𝐈𝐬 𝐚 𝐒𝐲𝐬𝐭𝐞𝐦, 𝐍𝐨𝐭 𝐚 𝐂𝐡𝐞𝐜𝐤𝐥𝐢𝐬𝐭
The report highlights three foundational principles:
1. 𝑳𝒊𝒇𝒆𝒄𝒚𝒄𝒍𝒆 𝑻𝒉𝒊𝒏𝒌𝒊𝒏𝒈
AI risks evolve in operation. Monitoring, feedback loops, and corrective mechanisms must be embedded — not improvised.

2. 𝑫𝒊𝒔𝒕𝒓𝒊𝒃𝒖𝒕𝒆𝒅 𝒃𝒖𝒕 𝑫𝒆𝒇𝒊𝒏𝒆𝒅 𝑹𝒆𝒔𝒑𝒐𝒏𝒔𝒊𝒃𝒊𝒍𝒊𝒕𝒚
Makers, users, and suppliers each hold differentiated obligations. Governance fails where accountability is ambiguous.

3. 𝑷𝒓𝒐𝒑𝒐𝒓𝒕𝒊𝒐𝒏𝒂𝒍𝒊𝒕𝒚 𝑩𝒂𝒔𝒆𝒅 𝒐𝒏 𝑬𝒗𝒊𝒅𝒆𝒏𝒄𝒆 𝒐𝒇 𝑪𝒐𝒏𝒕𝒓𝒐𝒍
More documentation does not equal better governance. What matters is demonstrable oversight, traceability, and the practical ability to intervene.

𝐀 𝐥𝐢𝐯𝐢𝐧𝐠 𝐀𝐈 𝐠𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐬𝐲𝐬𝐭𝐞𝐦……
1. Under the EU AI Act, AI quality management is not a static compliance artefact. 
2. It is a living governance system that integrates legal, technical, and operational decision-making.
----- Accuracy alone is not sufficient.
----- Documentation alone is not sufficient.
----- Intent alone is not sufficient.

𝐀𝐈 𝐪𝐮𝐚𝐥𝐢𝐭𝐲 𝐮𝐥𝐭𝐢𝐦𝐚𝐭𝐞𝐥𝐲 𝐦𝐞𝐚𝐧𝐬:
 + Clear responsibility.
 + Sustained monitoring.
 + Structured intervention when real-world behaviour changes.

------------------------------------------

With contributions from:
+ Sean Musch, AI & Partners 
+ Michael Charles Borrelli, AI & Partners
+ Michael Charles Borrelli, CMS UK 
+ Chakib Achour
+ Dr. Ian Gauci
+ Jacek Kotarbinski, PhD
+ Yonah Welker 

-------------------------------------------------------

💬 Question for peers and governance leads:
Is your AI oversight framework a documented policy — or an operational system with tested controls and clear accountability?

#ArtificialIntelligence #AIForBusiness #Digital #Manufacturing #Automotive

R-QMS

Michael Boevink 布 纷 奇 , 마이클 보빈크, مايكل بوفينك

AI & Partners - Tomorrow, the Kingdom’s Industrial Future Comes Alive!

WAM Saudi 2026 opens its doors tomorrow, bringing together advanced manufacturing and logistics leaders, breakthrough innovations, live demos and powerful networking — all under one roof.

From expert-led conference sessions to a dynamic exhibition floor, expect ideas, solutions and connections that drive real industrial growth. Don’t miss your chance to be part of it — the future starts at WAM Saudi.
 
Here’s what to expect:

 A powerful exhibition featuring advanced manufacturers and Industry 4.0 solution providers
Insightful Main Stage & Industry Stage sessions led by global experts
Exclusive workshops on Day 1 & Day 2 — delivered in both Arabic and English
Live demos and innovation showcases
Strategic networking with decision-makers and global investors
DISRUPTOR – Pitching Competition by River Venture Studio connecting ambitious Industry 4.0 founders with funding and pilot opportunities
1Tank by 1trepreneur – Flagship Startup Pitching Platform linking high-potential industrial tech startups with investors and ecosystem enablers

The Supernova IndustryX Challenge — 50 startups pitching live for $10,000 in equity-free funding

 15–17 February 2026
 Doors open at 12:00 PM
 Riyadh Front Exhibition & Conference Centre

Register now for free full conference access: 
https://lnkd.in/eb2enq-E

Aleesha Mohamed Ali Safa Al Hilali Vivian Saffier

Highly experienced financial services professional with an interest in law, technology and finance.

Trustworthy AI for a better world.

AI & Partners - 🚀 The International Franchise Show 2026 is coming!

Join us at Excel London on 17–18 April 2026 to explore 250+ vetted franchise opportunities across 25+ industries. Whether you’re looking to start your own business, switch careers, or scale with a proven model, this is your chance to connect directly with franchisors, hear success stories, and attend expert-led seminars.

Key highlights:
1. Face-to-face brand consultations – ask about costs, support, and growth potential
2. Franchisee success stories – learn from real experiences
3. Expert seminars & panels – insights on financing, launching, and growing a franchise
4. Side-by-side comparisons – evaluate opportunities to find your perfect fit
5. Franchising offers freedom, structure, and a pathway to business ownership. The show empowers attendees with knowledge, connections, and confidence to take the next step.

🎟️ Admission is FREE! Register now: https://lnkd.in/e9U_sEie

#Franchise #BusinessOwnership #Entrepreneurship #InternationalFranchiseShow #ExcelLondon #StartYourBusiness Amy McGowan

AI & Partners - 🚨 [REPORT]: General-Purpose AI Models — Managing Systemic Risks Across Europe’s AI Ecosystem [Hint: They’re AI models capable of cyberattacks.]

⚠️General-purpose AI (GPAI) models are no longer a research concept — they’re embedded in every sector.

But with scale comes systemic risk: unseen dependencies, opacity, and potential harm that ripple through the economy, society, and democracy.

This new report, “General-Purpose AI Models: Mitigating Systemic Risks,” aligns directly with the European Commission’s EU AI Act, outlining how Europe can move from alignment → accountability → resilience.

🛡️The Systemic-Risk Ecosystem
Responsibility is distributed across interconnected domains:
— Developers: Build and adapt foundation models and LLMs that must be transparent and auditable.
 — Deployers: Integrate these models into applications that influence civic and economic systems.
 — Regulators & Auditors: Ensure continuous oversight and mitigation aligned with the EU AI Act.
 — Researchers & Civil Society: Detect biases and emerging systemic effects across sectors.
 — Governance Leads: Coordinate frameworks for traceability, risk classification, and public trust.

Core Mitigation Practices
To transform systemic risk management from reaction to prevention, the report identifies key operational pillars:
1. Design & Safety by Design: Embed human-centred, transparent interfaces and fail-safes from the start.
2. Continuous Monitoring: Track drift, bias, and failures throughout model lifecycles.
3. Content and Algorithmic Oversight: Govern outputs that shape information flows and democratic discourse.
4. Trusted Flaggers & Audit Trails: Enable traceability and rapid response to emerging harms.
5. Codes of Conduct & Awareness Building: Embed ethical culture and shared accountability across the ecosystem.

------------------------------------------
With contributions from:
+ Sean Musch, AI & Partners 
+ Michael Charles Borrelli, AI & Partners
+ Charles Kerrigan, CMS UK 
+ Bruno Calabretta 
+ Marushka Chocobar 
+ Xiaochen Zheng 
+ Markus Krebsz

---------------------------------

💬 Practical question:
 Who owns systemic risk oversight in your team?

#AICompliance #ResponsibleAI #EUAIAct #Manufacturing #Healthcare

GPAI-SR

🚨 [REPORT]: General-Purpose AI Models — Managing Systemic Risks Across Europe’s AI Ecosystem [Hint: They’re AI models capable of cyberattacks.]

⚠️General-purpose AI (GPAI) models are no longer a research concept — they’re embedded in every sector.

But with scale comes systemic risk: unseen dependencies, opacity, and potential harm that ripple through the economy, society, and democracy.

This new report, “General-Purpose AI Models: Mitigating Systemic Risks,” aligns directly with the European Commission’s EU AI Act, outlining how Europe can move from alignment → accountability → resilience.

🛡️The Systemic-Risk Ecosystem
Responsibility is distributed across interconnected domains:
— Developers: Build and adapt foundation models and LLMs that must be transparent and auditable.
 — Deployers: Integrate these models into applications that influence civic and economic systems.
 — Regulators & Auditors: Ensure continuous oversight and mitigation aligned with the EU AI Act.
 — Researchers & Civil Society: Detect biases and emerging systemic effects across sectors.
 — Governance Leads: Coordinate frameworks for traceability, risk classification, and public trust.

Core Mitigation Practices
To transform systemic risk management from reaction to prevention, the report identifies key operational pillars:
1. Design & Safety by Design: Embed human-centred, transparent interfaces and fail-safes from the start.
2. Continuous Monitoring: Track drift, bias, and failures throughout model lifecycles.
3. Content and Algorithmic Oversight: Govern outputs that shape information flows and democratic discourse.
4. Trusted Flaggers & Audit Trails: Enable traceability and rapid response to emerging harms.
5. Codes of Conduct & Awareness Building: Embed ethical culture and shared accountability across the ecosystem.

------------------------------------------
With contributions from:
+ Sean Musch, AI & Partners 
+ Michael Charles Borrelli, AI & Partners
+ Charles Kerrigan, CMS UK 
+ Bruno Calabretta 
+ Marushka Chocobar 
+ Xiaochen Zheng 
+ Markus Krebsz

---------------------------------

💬 Practical question:
 Who owns systemic risk oversight in your team?

#AICompliance #ResponsibleAI #EUAIAct #Manufacturing #Healthcare

AI & Partners - 📢 [REPORT] World Economic Forum: ‘AI risk has entered the Age of Competition.’

✅ The World Economic Forum’s Global Risks Report 2026 makes one thing clear—this decade won’t be shaped by a single shock, but by compounding, interconnected risks that challenge how organizations design strategy, governance (including requirements for high-risk AI under Chapter III of European Commission’s EU AI Act), and AI adoption.

𝐀𝐈 𝐫𝐢𝐬𝐤 𝐢𝐬 𝐚𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐢𝐧𝐠 𝐟𝐚𝐬𝐭𝐞𝐫 𝐭𝐡𝐚𝐧 𝐚𝐧𝐲 𝐨𝐭𝐡𝐞𝐫 𝐜𝐚𝐭𝐞𝐠𝐨𝐫𝐲
• “Adverse outcomes of AI” shows the sharpest rise in concern between the short and long term—spanning labor markets, misinformation, security, and governance.
• What we increasingly see is AI risk shifting from a technical issue to a board-level geopolitical and strategic exposure.
• The pace of capability deployment is outstripping the pace of regulation, oversight, and institutional readiness.
• Competitive pressure is incentivizing speed over safety, increasing the likelihood of systemic failures rather than isolated incidents.
• Unlike prior technological risks, AI scales globally by default—compressing the time between local failure and widespread impact.

🌍 𝐓𝐡𝐞 𝐛𝐢𝐠𝐠𝐞𝐫 𝐭𝐚𝐤𝐞𝐚𝐰𝐚𝐲:
We’re moving toward a multipolar world without strong multilateralism—more competition, less coordination, and higher consequences for decisions made on outdated assumptions.

𝐓𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐢𝐬𝐧’𝐭 𝐩𝐫𝐞𝐝𝐞𝐭𝐞𝐫𝐦𝐢𝐧𝐞𝐝.
But resilience will depend on anticipation, new forms of cooperation, and long-term thinking in a short-term world.

A BIG thanks to the paper’s authors/contributors
• Mark Elsner
• Grace Atkinson
• Saadia Zahidi 
• Mitali Chatterjee
• Ricky LI
• Eoin Ó Cathasaigh

-----------

Which risk from the report do you see most underestimated in boardroom or AI strategy discussions—and why?

#AIRisk #RiskManagement #CyberSecurity #Insurance #Reinsurance

📢 [REPORT] World Economic Forum: ‘AI risk has entered the Age of Competition.’

✅ The World Economic Forum’s Global Risks Report 2026 makes one thing clear—this decade won’t be shaped by a single shock, but by compounding, interconnected risks that challenge how organizations design strategy, governance (including requirements for high-risk AI under Chapter III of European Commission’s EU AI Act), and AI adoption.

𝐀𝐈 𝐫𝐢𝐬𝐤 𝐢𝐬 𝐚𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐢𝐧𝐠 𝐟𝐚𝐬𝐭𝐞𝐫 𝐭𝐡𝐚𝐧 𝐚𝐧𝐲 𝐨𝐭𝐡𝐞𝐫 𝐜𝐚𝐭𝐞𝐠𝐨𝐫𝐲
• “Adverse outcomes of AI” shows the sharpest rise in concern between the short and long term—spanning labor markets, misinformation, security, and governance.
• What we increasingly see is AI risk shifting from a technical issue to a board-level geopolitical and strategic exposure.
• The pace of capability deployment is outstripping the pace of regulation, oversight, and institutional readiness.
• Competitive pressure is incentivizing speed over safety, increasing the likelihood of systemic failures rather than isolated incidents.
• Unlike prior technological risks, AI scales globally by default—compressing the time between local failure and widespread impact.

🌍 𝐓𝐡𝐞 𝐛𝐢𝐠𝐠𝐞𝐫 𝐭𝐚𝐤𝐞𝐚𝐰𝐚𝐲:
We’re moving toward a multipolar world without strong multilateralism—more competition, less coordination, and higher consequences for decisions made on outdated assumptions.

𝐓𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐢𝐬𝐧’𝐭 𝐩𝐫𝐞𝐝𝐞𝐭𝐞𝐫𝐦𝐢𝐧𝐞𝐝.
But resilience will depend on anticipation, new forms of cooperation, and long-term thinking in a short-term world.

A BIG thanks to the paper’s authors/contributors
• Mark Elsner
• Grace Atkinson
• Saadia Zahidi 
• Mitali Chatterjee
• Ricky LI
• Eoin Ó Cathasaigh

-----------

Which risk from the report do you see most underestimated in boardroom or AI strategy discussions—and why?

#AIRisk #RiskManagement #CyberSecurity #Insurance #Reinsurance

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