Founder & CEO at Omni Digital | Growth Hacker | Performance Marketer | I help my clients scale their businesses 🚀 | Tennis & football fan 🎾⚽

In 2017, I was an investment advisor in a private bank. Although I was comfortable and safe in this job, I wanted more adventure in my career.

I knew that I had a unique set of skills and talents. As an accountant by training, I was comfortable working with numbers and crunching data. But I always enjoyed writing and communicating stories to the world. 

That year, I decided to leave banking and become an entrepreneur. Along the way, I dabbled in a bunch of businesses and learned by trial and error how to harness Facebook & Google to drive leads and sales to these businesses. When my campaigns didn’t work, I’d keep testing until it did. 

After spending hundreds of hours learning copywriting and marketing strategy, I accumulated valuable skills and experience in performance marketing. I realised I could help my clients scale their businesses by implementing these strategies.

In 2022, I decided to take the plunge and pursue my passion for growing businesses by founding Omni Digital, a performance marketing agency that helps clients scale through digital marketing.

Now, I work with e-commerce, home & renovation, and education businesses in Singapore to accelerate their growth using paid Facebook & Google ads.

My goal is to build a world-class team of performance marketers that has the same work ethic as me, which is to continuously test and optimize our client campaigns until they succeed.

Some of our past and present clients include Gain City, Lumens, and Bounceback.

I would love to find out more about your business with a 1:1 chat.

👉🏻👉🏻 Reach out to me on LinkedIn or email alex@omnidigital.com.sg

Alex Chan, CFA

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.

Michael Charles Borrelli

AI & Partners - Humans vs AI – Is Recruitment Today Truly People-Centric?

As AI continues to transform the way we identify, assess, and appoint leaders, one question remains at the heart of every boardroom conversation: can technology ever replace human insight in executive recruitment?

Join TechWomen4Boards at Rabobank, London on Tuesday, 24 February (6–9 PM GMT) for an inspiring evening exploring how AI is reshaping board and C-suite hiring — and how we can keep leadership selection rooted in human judgment, diversity, and strategic governance. 

Expect bold insights, practical perspectives, and engaging discussion as our expert panel — including Rustum Bharucha, John Hall, Keely Jones, and Carla Serra — unpacks the balance between AI efficiency and people-centric leadership decisions in today’s rapidly evolving talent landscape.

Perfect for senior executives, aspiring board members, and decision-makers passionate about the intersection of technology, talent, and governance.
+ 24 February | 6–9 PM GMT
+ Rabobank, London
+ Drinks & canapés will be served

Register here: https://lnkd.in/ez_iuWmS 

#AI #ExecutiveSearch #Leadership #Governance #TechWomen4Boards #Recruitment #Diversity #Innovation

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

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 -  Proud to share our new report on AI in UK Financial Services, developed in collaboration with the House of Commons and leading ecosystem partners.

One clear message came through: AI has moved from the margins to the core of financial services. It’s no longer an innovation experiment — it underpins fraud detection, credit decisions, AML, supervision, and market surveillance.

That shift delivers real value, but it also changes the risk profile entirely. When AI sits in core infrastructure, governance, accountability, and ongoing oversight aren’t optional — they’re foundational.

In the report, we focus on what’s actually happening on the ground:
• where AI is already delivering measurable impact
• how risks emerge as systems scale and adapt
• why human oversight and lifecycle ownership matter more than ever

Key takeaway: responsible AI isn’t something you “ship” once. These systems evolve — and governance has to evolve with them.

Curious to hear others’ perspectives:
Who owns AI risk end-to-end in your organisation, and how confident are you that oversight keeps pace with live models?

#AICompliance #ResponsibleAI #FinancialServices #AIRegulation #FinTech

🚨 REPORT: UK GOVERNMENT ‘AI has become ‘BACKBONE’ of UK finance’

From fraud detection to credit scoring, AML, SUPERVISION, and market surveillance, AI now powers core financial infrastructure. That shift changes the risk profile — and the governance burden — for every bank, insurer, and regulator.

𝐏𝐫𝐨𝐯𝐢𝐝𝐢𝐧𝐠 𝐛𝐞𝐧𝐞𝐟𝐢𝐭𝐬 𝐚𝐜𝐫𝐨𝐬𝐬 𝐞𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦:
Risk & Fraud: AI detects patterns humans can’t, but errors scale fast.
Customer Outcomes: Automated decisions affect fairness, trust, and conduct.
Operational Resilience: AI improves efficiency but creates new system dependencies.

⚠️ In collaboration with House of Commons, AI & Partners and other leading organisations present “AI in Financial Services” — a real-world impact analysis of where AI is transforming UK finance, and where GOVERNANCE must catch up.

📜 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐜𝐨𝐯𝐞𝐫𝐞𝐝:
 — Where AI delivers measurable value today
 — Emerging risk patterns supervisors and firms must monitor
 — Data quality, explainability, and model risk in regulated environments
 — Human oversight and accountability in AI-enabled decision-making
 — Capability gaps across firms, regulators, and the wider ecosystem
 — Why governance must evolve alongside deployment, not after it

𝐊𝐞𝐲 𝐭𝐚𝐤𝐞𝐚𝐰𝐚𝐲: Responsible AI isn’t achieved at launch. Systems learn, adapt, and scale — so ongoing monitoring, controls, and regulatory alignment are essential.

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

? 𝐓𝐰𝐨 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐲𝐨𝐮:
1. Who owns AI risk across the full lifecycle in your organisation?
2. How confident are you that oversight keeps pace with live AI models?

Drop your thoughts in the comments — or share an example of AI governance in action in your team.

#AICompliance #ResponsibleAI #Policy #Finance #FinTech

UKG-AIiFS

AI & Partners  -🚀 Calling all healthtech innovators, providers, payers, and policymakers!

HLTH Europe 2026 lands in Amsterdam (RAI Convention Centre, 15-18 June) – Europe's #1 event for healthcare transformation. Expect world-class keynotes, immersive networking, and breakthroughs in digital health, AI, and equitable care.

With 1 in 3 attendees C-suite, it's prime time to connect, collaborate, and catalyze change. Who's joining the movement?

Register now: https://lnkd.in/gwgAMuJq
Your personalised discount code: HE26_AIPARTNERS250
​
#HLTHEurope #HealthInnovation #Amsterdam2026 #DigitalHealth

AI & Partners  - 🚨[REPORT]: AI Factories—An ENGINE for Europe’s AI Economy
[Hint: they're specialised computing infrastructure to manage AI.]

AI Factories are no longer theoretical—they are foundational infrastructure for developing, optimizing, and deploying AI models while ensuring alignment with regulatory standards, including the European Commission's EU AI Act. 

The Roles Driving the AI Lifecycle
In the AI Factory ecosystem, responsibility is distributed across specific, coordinated roles that manage the AI lifecycle from inception to deployment
--- The Technician: Oversees the AI system as it progresses through various developmental stages.
---The Engineer: Focuses on building and optimizing models, algorithms, and Large Language Models (LLMs).
---The Auditor: Crucial for governance, ensuring all AI outputs meet rigorous ethical and legal standards.
---The Analyst: Manages the complex data streams that feed production.
---The Manager: Directs workflows and ensures development efficiency.

🏗️ Core Operational Objectives
AI Factories are designed to transform ideas into scalable solutions by lowering the entry barriers for SMEs and startups. Their operations are built on:
1. Shared Supercomputing: Providing the massive high-performance computing power required for large-scale generative model training.
2. Structured Experimentation: Replacing "unstructured experimentation" with disciplined frameworks that reduce risk and ensure results are documented and traceable.
3. Hub-and-Spoke Connectivity: Utilizing central core facilities (Hubs) and regional "Antennas" to provide localized support and pan-European collaboration.
4. Trustworthy-by-Design: Embedding fairness, transparency, and control into every stage to remain on the "right side of history".

📜 Governance and Continuous Oversight
The report emphasizes that infrastructure alone is not enough; governance must be embedded in everyday operations. This includes:
+ AI Inventory & Discovery: Maintaining a live register of all models, algorithms, and prompts to eliminate "unknown" AI risk.
+ Model Monitoring: Continuously tracking deployed systems for performance drift, anomalies, and failures to prevent harm before it occurs.
+ Traceability: Ensuring that every decision in the development process is examined retrospectively for continuous learning.

With contributions from:
• Sean Musch, AI & Partners
• Michael Charles Borrelli, AI & Partners
• Charles Kerrigan, CMS UK
• Marco Hößl
• Erdinc Sacan
• Prof. Dr. Patrick Glauner
• Kuba Szarmach

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

💬 Practical question:
 As you move into these managed ecosystems, which role in your team is responsible for ensuring traceability across the factory workflow—and is your AI Inventory 100% visible today?

#EUAIAct #AIGovernance #AIRisk #Manufacturing #Energy

🚨[REPORT]: AI Factories—An ENGINE for Europe’s AI Economy
[Hint: they're specialised computing infrastructure to manage AI.]

AI Factories are no longer theoretical—they are foundational infrastructure for developing, optimizing, and deploying AI models while ensuring alignment with regulatory standards, including the European Commission's EU AI Act. 

The Roles Driving the AI Lifecycle
In the AI Factory ecosystem, responsibility is distributed across specific, coordinated roles that manage the AI lifecycle from inception to deployment
--- The Technician: Oversees the AI system as it progresses through various developmental stages.
---The Engineer: Focuses on building and optimizing models, algorithms, and Large Language Models (LLMs).
---The Auditor: Crucial for governance, ensuring all AI outputs meet rigorous ethical and legal standards.
---The Analyst: Manages the complex data streams that feed production.
---The Manager: Directs workflows and ensures development efficiency.

🏗️ Core Operational Objectives
AI Factories are designed to transform ideas into scalable solutions by lowering the entry barriers for SMEs and startups. Their operations are built on:
1. Shared Supercomputing: Providing the massive high-performance computing power required for large-scale generative model training.
2. Structured Experimentation: Replacing "unstructured experimentation" with disciplined frameworks that reduce risk and ensure results are documented and traceable.
3. Hub-and-Spoke Connectivity: Utilizing central core facilities (Hubs) and regional "Antennas" to provide localized support and pan-European collaboration.
4. Trustworthy-by-Design: Embedding fairness, transparency, and control into every stage to remain on the "right side of history".

📜 Governance and Continuous Oversight
The report emphasizes that infrastructure alone is not enough; governance must be embedded in everyday operations. This includes:
+ AI Inventory & Discovery: Maintaining a live register of all models, algorithms, and prompts to eliminate "unknown" AI risk.
+ Model Monitoring: Continuously tracking deployed systems for performance drift, anomalies, and failures to prevent harm before it occurs.
+ Traceability: Ensuring that every decision in the development process is examined retrospectively for continuous learning.

With contributions from:
• Sean Musch, AI & Partners
• Michael Charles Borrelli, AI & Partners
• Charles Kerrigan, CMS UK
• Marco Hößl
• Erdinc Sacan
• Prof. Dr. Patrick Glauner
• Kuba Szarmach

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

💬 Practical question:
 As you move into these managed ecosystems, which role in your team is responsible for ensuring traceability across the factory workflow—and is your AI Inventory 100% visible today?

#EUAIAct #AIGovernance #AIRisk #Manufacturing #Energy

R-AIF

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 - 🚀 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

taplio

The Battle

Alex Chan, CFA

Michael Charles Borrelli

Followers

Posts

Engagements

Likes

Performance ScoreMichael Charles Borrelli's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Alex Chan, CFA

Michael Charles Borrelli

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Michael Charles Borrelli's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreMichael Charles Borrelli's LinkedIn Performance