In this episode, Luv Kapur joins Mehmet to break down how composability is reshaping modern engineering. Luv is an engineering leader at Bit, working across their open source and enterprise platforms, and one of the earliest advocates for modular, reusable software as a way to unlock scale.

They explore why composability matters, how modular systems speed up delivery, and the cultural shift required inside engineering teams. Luv also shares real results from enterprise adoption, including faster iteration cycles, fewer defects, and measurable ROI in the eight-figure range. The conversation closes with a deep look into HopeAI, Bit’s AI architect designed to orchestrate existing components rather than generate endless code.

This is a practical and insightful episode for any CTO, engineering leader, or founder navigating the next era of platform development.

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About Luv Kapur

Luv Kapur is an Engineering Lead and Solutions Architect at Bit. His background spans platform engineering, dev tooling, internal systems, and leading enterprise adoption of composable software. He has helped teams move from monolithic and fragmented architectures to modular systems that enable real speed, discoverability, and developer empowerment.

He now works across Bit’s open source ecosystem and Bit Cloud for enterprise, helping organizations adopt composability and shift toward a more scalable engineering model.

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Key Takeaways

• Composability is an operating model that enables teams to build with reusable building blocks and ship faster.

• Modular architectures reduce defects, improve consistency, and increase transparency across engineering teams.

• Discoverability and ownership are core success factors. Without them, composability collapses into fragmentation.

• AI should act as an orchestrator, not a generator. The future belongs to systems that reuse proven components.

• Enterprise ROI from composability is measurable, from reduced iteration time to real cost savings in the millions.

• Citizen developers will play a bigger role as AI unlocks access to complex internal systems.

• Engineers will still be needed, but AI will free them to solve harder and more meaningful problems.

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What You Will Learn

• How modular software accelerates delivery

• Why enterprises struggle with legacy systems and how bottom up adoption solves it

• How to measure success in composability using real metrics

• The cultural shift required for high performing engineering teams

• How AI can guide architecture instead of generating more code

• The role of discoverability, ownership, and inner source in large organizations

• What HopeAI is and how it works as an AI architect

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Episode Highlights

00:00 Introduction and guest background

03:00 What composability really means and why it matters

06:00 Modular architectures explained with real world examples

10:00 What defines high performance engineering teams

14:00 Why companies fail when adopting composability

17:00 The shift from top down mandates to bottom up success

20:00 Tangible metrics teams can measure

23:00 AI as orchestrator versus generator

27:00 Why code reuse will define the next decade

31:00 Inside HopeAI and how it guides architecture

35:00 Enterprise results and real ROI

37:00 The future of platform development

41:00 Why engineers remain irreplaceable

42:00 How to connect with Luv Kapur

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Resources Mentioned

• Bit (Open Source): https://bit.dev

• Bit Cloud (Enterprise): https://bit.cloud

• Luv Kapur on LinkedIn: https://www.linkedin.com/in/luvkapur/

Digital transformation isn’t about technology — it’s about leadership, culture, and execution. In this episode, veteran CTO and transformation expert Tory Bjorklund joins Mehmet to debunk hype-driven transformation, explain why most initiatives fail, and share his proven framework for executing technology-driven change that sticks.

Whether you’re scaling a startup or modernizing a large enterprise, this conversation brings clarity and practical wisdom to one of the most misunderstood journeys in tech.

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👤 About the Guest

Tory Bjorklund is a serial entrepreneur, CTO, and transformation advisor with decades of experience leading large-scale technology and organizational change across manufacturing, fintech, and enterprise software. He is currently building Victoria Fide, focused on helping organizations succeed with transformational change, and is the author of The Digital Transformation Guidebook.

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🔑 Key Takeaways

• Digital transformation fails when technology leads instead of business goals

• Why “go-live” is the beginning, not the finish line

• The role of leadership and communication in successful transformation

• AI reality check: where companies are going wrong

• How to reset a failing transformation before it’s too late

• Why ERP and enterprise tools remain underutilized

• Building a culture that embraces change, not fears it

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📘 What You’ll Learn

• A 3-stage framework for transformation: Prepare → Execute → Sustain

• How to align executive teams and technology leaders

• Why transformation is continuous, not a project

• Practical steps for avoiding costly technology mistakes

• How to think about AI beyond the hype cycle

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🧠 Episode Highlights

0:00 — Intro

1:20 — Tory’s journey across tech, manufacturing & consulting

4:30 — Tech push vs business pull: who drives innovation?

7:05 — Why 70% of digital transformations fail

10:40 — How to course-correct a failing initiative

14:20 — Defining success and ROI from day one

18:30 — The Prepare → Execute → Sustain model

22:40 — Who should own transformation inside the company

26:00 — AI reality: personal productivity vs enterprise value

32:00 — Why ERP & existing tools are still underutilized

37:20 — Industrial AI & the real disruption

39:40 — About Tory’s book

42:00 — Closing thoughts

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🔗 Resources Mentioned

• Victoria Fide – https://victoriafide.com

• Tory’s upcoming book: The Digital Transformation Guidebook

• Connect with Tory on LinkedIn: https://www.linkedin.com/in/torybjorklund/

In this episode, we sit down with Liam O’Neil, Managing Director at BPMD, to explore how modern organizations can use process intelligence, AI, and change design to build scalable, resilient systems.

We go deep into process mining, task mining, the future of process teams, breaking organizational silos, and how AI is reshaping enterprise transformation.

Whether you’re a CTO, operator, or founder, this episode demystifies what “process” really means in the AI era — and why it’s more strategic than ever.

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👤 About Liam O’Neil

Liam O’Neil is the Managing Director of BPMD, helping companies transform how they operate through process intelligence, workflow design, automation, and AI-driven change.

He has led transformation programs across industries, guiding teams through ERP shifts, hyperautomation, and data-driven operational design.

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🔑 Key Takeaways

• Why process ≠ bureaucracy — and how to reframe it

• Moving from siloed teams to connected “change maker functions”

• Process mining vs task mining (and when to use each)

• AI’s role in accelerating process intelligence & automation

• Why CTOs must partner with process functions to drive value

• How to spot early signs of underperforming transformation programs

• Where process teams sit in modern org structures

• Innovation vs stability — and when not to automate

• Using upstream fixes to unlock downstream efficiency

• The real reason RPA stalled — and what AI does differently

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🎧 What You’ll Learn

• The evolution of process work in the AI age

• Real-world examples of process intelligence saving time & cost

• How to structure process teams for speed, not bureaucracy

• Tools and frameworks shaping enterprise workflow (Signavio, Celonis, SAP, etc.)

• How generative & agentic AI is changing execution and adoption

• Why culture, communication, and accountability still matter most

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🕒 Episode Highlights

Timestamp

Topic

00:00

Welcome & guest intro

01:20

Liam’s journey into process & automation

03:10

Why smart teams get stuck in silos

04:50

Fixing upstream issues to remove downstream pain

06:10

Why process has a “bureaucracy problem”

09:00

How modern process teams look today

11:50

Process mining vs task mining — explained simply

15:20

Real enterprise examples & outcomes

17:10

Where AI accelerates process work

20:00

Why change dies without ownership & communication

24:15

Balancing innovation vs experience

27:00

Capability modeling for tech investment decisions

29:00

Signals CTOs should watch for in transformation

32:40

Where to start tomorrow if you lead technology

34:30

The next evolution of process with AI

38:00

RPA vs AI — why adoption looks different

41:20

Closing thoughts & where to find Liam

🔗 Resources Mentioned

• Liam’s LinkedIn: https://www.linkedin.com/in/l-oneill/

• Liam’s company: http://bpm-d.com/

• Celonis

• WalkMe / digital adoption platforms

• LeanIX / enterprise architecture

• RPA vs next-gen AI workflows

In this episode, Apexon CEO Sriniketh Chakravarthi joins us to unpack what it really takes to build and scale a global technology services company in the era of AI and automation.

We explore the intersection of technology, culture, and execution — and why the future belongs to leaders who can combine deep tech understanding with human-centric leadership.

From scaling teams to embracing Agentic AI, Sriniketh brings a grounded, operator-first perspective shaped by experience across strategy, M&A, and hands-on execution in some of the world’s most dynamic tech environments.

👤 About Sriniketh

Sriniketh Chakravarthi

CEO, Apexon

A seasoned technology leader with a background in financial services, strategy, and digital engineering, Sriniketh has led Apexon’s transformation into a next-gen digital engineering partner focused on AI, digital experience, and data-powered innovation.

Backed by Goldman Sachs and Everstone Capital, Apexon operates across the US, UK, India, and Mexico with a mission to improve human life through digital transformation.

🔑 Key Takeaways

• Culture is the No.1 driver of sustainable performance at scale

• Execution is a leadership discipline — not a buzzword

• AI will transform services, but humans remain the multiplier

• Entrepreneurial DNA must be protected even in large orgs

• Services firms must evolve into AI orchestration partners

• The next era belongs to companies combining talent, tooling, and trust

• Change management in AI era is harder than the tech work itself

🎓 What You Will Learn

• How to build a culture that scales with growth

• Why AI will reshape the technology services industry

• What “agentic AI” really means for enterprises

• Lessons on leadership, humility, and talent development

• How to balance investor expectations with people-first leadership

• Why operators must stay hands-on and continuously learn

• Strategies to upskill teams for AI-first work environments

📌 Episode Highlights

Time

Topic

00:00

Intro & welcome

01:00

Sriniketh’s journey: strategy → operating → CEO

04:00

Leadership pillars: culture, execution, strategy

08:30

Team mindset & the importance of low-ego talent

10:20

Tech as a force for good — real healthcare impact stories

14:30

Keeping entrepreneurship alive in a 5,000+ person org

17:40

Merging multiple companies into one culture & mission

21:00

Talent in the AI era: young engineers & reskilling

26:00

Balancing investors and people — sports team analogy

32:00

The future of services in the age of AI & agents

38:00

AgentThrive: scaling AI in enterprise environments

46:00

Human + AI collaboration and the next workforce frontier

52:00

Advice for entrepreneurs building future-ready teams

57:00

Closing thoughts & where to connect

🔗 Resources Mentioned

• Apexon Website: https://www.apexon.com/

• Sriniketh LinkedIn Profile: https://www.linkedin.com/in/srinikethchakravarthi/

• “Execution: The Discipline of Getting Things Done” — Ram Charan

In this episode, Mehmet sits down with Brian Corcodilos, CEO of Designblendz, to explore how technology is transforming the built environment — from 3D visualization and digital twins to the future of AR-powered real estate.

Brian shares his journey from pro-gamer to architect-founder, scaling a design studio from a college dorm room to a 30-person innovation-driven firm. We dive deep into the intersection of architecture, virtual worlds, AI, AR, and how emerging technologies are reshaping how we design, sell, and experience real estate.

If you care about AI, real estate, and the future of human-centric design, this episode is a must-listen.

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About Brian Corcodilos

Brian Corcodilos is the Founder & CEO of Designblendz, a Philadelphia-based architecture and visualization studio specializing in BIM, photorealistic 3D, drone-based digital environments, and immersive design.

A former competitive gamer turned architect-operator, Brian combines technical skill with creative vision to help developers, municipalities, and brands design smarter and sell faster in a virtual-first world.

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✅ Key Takeaways

• The connection between gaming, virtual worlds, and architecture

• Why AR — not VR — will win mass adoption

• How AI is reshaping architecture & 3D visualization workflows

• The future of virtual real estate and augmented built spaces

• Why blockchain will matter again — and where

• Scaling a service business through culture, delegation, and trust

• What traditional industries get wrong about tech adoption

Episode Highlights

00:00

Intro

01:20

From pro-gamer to architect-founder

04:15

When 3D visualization became a business advantage

08:32

How AI is upending the design pipeline

12:40

The real value behind photoreal rendering

17:45

AR vs. VR — why VR flopped and AR will dominate

23:18

AI assistants, workflows, and replacing admin work

29:10

Deepfakes, blockchain, and proof-of-reality

33:40

The future of virtual real estate & urban space

42:10

Founder lessons — scaling, culture, letting go

49:15

M&A as a growth strategy in architecture

53:40

Closing thoughts + where to follow Brian

Resources Mentioned

• Designblendz — www.designblendz.com

• Brian’s LinkedIn — https://www.linkedin.com/in/bcorcodilos/

In this episode of The CTO Show with Mehmet, we sit down with Ahmed Bahgat, a leading IT expert, digital forensics specialist, and court-appointed arbitrator who has handled 600+ cyber and technology-related cases across the UAE, GCC, and Canada.

From cyber breaches and data leaks to AI deployment disputes and cryptocurrency investigations, Ahmed shares real-world insights into modern digital crime — and how organizations should protect themselves before it’s too late.

Whether you’re a founder, executive, or tech leader, this episode will give you a rare insider perspective on the legal, technical, and business complexities shaping cybersecurity and AI in today’s digital economy.

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👤 About Ahmed Bahgat

Ahmed Bahgat is an IT expert, digital forensics specialist, and arbitrator with over 20 years of experience across oil & gas, banking, retail, and government sectors.

He is certified in blockchain, AI, and IT service management, and serves as a registered expert in federal courts across the UAE, Bahrain, and beyond.

He has led IT across 18 countries and has been assigned to 600+ cyber and tech disputes, covering:

• Cyber fraud & data theft

• AI implementation conflicts

• Cryptocurrency cases

• Internal data abuse & insider threats

• Digital forensics & evidence analysis

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🔑 Key Takeaways

✅ The rise of cyber disputes and AI legal cases in the UAE & beyond

✅ How digital forensics works in real investigations

✅ What executives MUST know before signing tech contracts

✅ Why “we’re too small to be hacked” is dangerous thinking

✅ How poor data governance and access control lead to legal liability

✅ The growing trend of private AI models for government & enterprises

✅ Real examples of data leakage and fraud incidents

✅ Steps every company should take to build digital readiness

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📚 What You Will Learn

• How cybercrime and digital evidence are handled legally

• Key mistakes companies make with data & cybersecurity

• Why proactive cyber policies save companies millions

• What founders should know about AI risk & compliance

• How to protect your business from internal & external threats

🕒 Episode Timestamps

00:00 – Intro

01:00 – Ahmed’s journey from engineer to cyber arbitrator

04:00 – Why hands-on tech experience matters in legal cases

06:00 – The reality of cybercrime and tech disputes in the region

08:30 – Why companies ignore security until disaster strikes

11:00 – Digital forensic tools and processes explained

14:30 – Mapping digital evidence to UAE federal cyber law

17:00 – Common enterprise security gaps (and why they fail)

20:00 – Insider threats and financial fraud case examples

22:00 – Cryptocurrency, AI & social media disputes on the rise

24:00 – Private AI vs public AI — what companies should know

27:00 – Final advice for business leaders & tech teams

🔗 Resources Mentioned

• UAE Federal Cybercrime Law (Law No. 34 of 2021)

• Digital forensics tools: FTK, Wireshark, UFED

• Local cyber agencies (Dubai Police Cyber Dept., etc.)

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🤝 Connect With Ahmed Bahgat

🔗 LinkedIn: — https://www.linkedin.com/in/bahgatexpert/

Tourism is becoming a strategic economic engine for cities like Dubai, Singapore, Riyadh, and Milan. But one massive gap has been untouched: tax-free shopping.

Every year, billions in VAT refunds leave local economies instead of being reinvested into retail and travel ecosystems.

Ameer Jumahboy, Co-Founder & CEO of Utu, is changing that.

He shares:

• How digital tax-free systems work under the hood

• Why airports are the next major retail battleground

• How AI and data will transform travel spending behavior

• Lessons from building with a second-generation founder and global retail pioneer (his father)

This is a deep dive into a misunderstood, under-innovated, $5B opportunity.

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👤 About Ameer Jumahboy

Ameer Jumahboy is the Co-Founder & CEO of Utu, a travel-fintech platform reimagining tax-free shopping.

From Singapore to Dubai and Europe, Utu modernizes VAT refunds by turning them into instant retail value — boosting tourism spend and upgrading traveler experience.

His co-founder is his father — the industry veteran who built two global tax-free giants (Global Blue & Planet). Together, they are scaling a third-generation travel retail model across continents.

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🔑 Key Takeaways

• The tax-free refund system is a massive under-innovated fintech layer

• Digitization unlocks new value for travelers, governments, and retailers

• Airports are evolving into data-first, conversion-driven retail hubs

• Middle East destinations are redefining tourism infrastructure

• Legacy industries need youthful vision + institutional experience

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🎧 What You’ll Learn

• How tax-free systems actually work — and why digital matters

• Role of AI in travel retail personalization & spend prediction

• Expansion strategy across GCC, Europe, and global hubs

• How to build a business with family — and win

• The psychology of travel spending and loyalty mechanics

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🧭 Episode Highlights

• (01:30) Ameer’s journey & building with his father

• (05:00) The problem with legacy tax-free systems

• (09:15) Product-market fit after multiple iterations

• (12:50) Stakeholders in tax-free innovation

• (18:20) Why GCC is primed for travel tech leadership

• (23:10) Cracking the UAE retail ecosystem through Gold Souk

• (27:40) Data, AI, and the next evolution of airport retail

• (34:10) Competition, first-mover advantage & innovation culture

• (39:00) Vision: a global travel-commerce layer

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🔗 Resources Mentioned

• Utu — https://utu.global/

• Global Blue & Planet (industry context)

Ameer’s Linkedin Profile: https://www.linkedin.com/in/ameerjumabhoy/