Behind the Funnel

Every advantage your company has right now is already expiring. That's the premise behind the Durable Advantage Cycle, the framework at the center of this conversation with Arun Pattanayak, a former Microsoft Data and AI Executive and fractional CTO who's spent 20+ years inside companies like Citibank, JPMorgan Chase, EY, Credit Suisse, and TD Bank.

We get into the build, buy, or kill model Arun uses with every client to decide where technology dollars actually go, why he thinks most AI investment failures are an architecture problem and not a tool problem, and the difference between a product with a marketing problem and one with a product-market-fit problem, two things that get confused constantly and require completely different fixes.

In this episode:

• The Durable Advantage Cycle, and why the biggest tech companies in the world are built around repeating it, not escaping it
• The build, buy, or kill scoring framework Arun uses to decide what actually gets funded
• Why "we bought the AI tool" isn't a strategy, and what intelligence architecture and change fitness actually mean
• The three-layer workforce model (automation, augmentation, innovation) and how to know which layer a task belongs in
• What Arun looks for before he'll take on a client, and why he turns down more work than he accepts
• How to tell whether your problem is actually marketing, or whether marketing is just amplifying a product nobody wants yet
• The one AI trend Arun thinks is completely overhyped right now

About Arun: Arun Pattanayak spent over 20 years in enterprise technology, including six years as a Data and AI Executive at Microsoft, and has worked inside organizations like Citibank, JPMorgan Chase, EY, Credit Suisse, and TD Bank. He's now a fractional CTO through his company Tipsora, the author of Future-Proof Your Business, and host of the podcast What Comes Next.

Find Arun: LinkedIn (search Arunansu Pattanayak) | arunansupattanayak.com | tipsora.com | What Comes Next, wherever you get your podcasts

This was one of the most honest conversations we’ve had on Behind the Funnel.

Marc Petitpas has led some of the biggest organizations and venues in Canada — from opening BMO Field as its first General Manager, to leadership roles with MLSE, the Air Canada Centre, Fusion Homes, and beyond.

But this episode wasn’t really about titles.

It became a conversation about:

• leadership
• pressure
• grief
• starting over
• fear
• purpose
• and the responsibility that comes with leading people

Marc shares the reality behind building a career across multiple industries, losing family members during the pandemic, nearly losing his house while launching his consulting business, and how those experiences completely changed the way he coaches leaders today.

We also dive into:

• why most leadership training fails
• the problem with “fake experts” online
• transferable skills across industries
• communication in business
• mental health and leadership
• the difference between real experience vs internet marketing
• and the deeper meaning behind his book The 50-Year-Old Millennial

This is not your typical business podcast.

It’s a conversation about becoming the kind of person people trust.

Topics Covered:

• Opening BMO Field as General Manager
• Building leadership skills through retail and sports
• The importance of mentors
• Anxiety and fear early in life
• Leadership lessons from construction and home building
• Why communication matters in business
• Losing family during the pandemic
• Starting a consulting business from scratch
• Leadership and mental health
• Why most coaching online lacks real experience
• The true story behind The 50-Year-Old Millennial

About Marc Petitpas: Marc Petitpas is a leadership consultant, business coach, speaker, author, and fractional executive with decades of experience across sports, retail, construction, and executive leadership. He is the founder of Marc Petitpas Business Coaching and winner of the 2025 Canadian Choice Award for Business Coaching.

Connect with Marc:

Website: www.marcpetitpas.com

LinkedIn: https://www.linkedin.com/in/marcpetitpas/

Book: The 50-Year-Old Millennial on Amazon

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Episode Summary

AI is everywhere.

But most businesses are still using it wrong.

In this episode of Behind the Funnel, I sit down with Amir Samani from BlackOps Studio to break down why most AI systems fail and what real integration actually looks like inside a business.

We go deep into why businesses feel overwhelmed, how to actually implement AI step by step, and why most teams aren’t ready for the tools they think they need.

If you’ve been experimenting with AI but not seeing real results, this episode will show you what’s missing.

What We Cover

• Why most AI systems fail inside businesses
• The difference between tools and real integration
• Why businesses feel overwhelmed with AI
• The “A to Z problem” and skipping fundamentals
• What it actually means to be an integration partner
• Why most companies aren’t ready for advanced AI systems
• The truth about scaling and why it creates chaos
• A phased approach to implementing AI properly
• How to connect marketing, sales, and operations
• Real examples of AI creating leverage in businesses
• Where AI is being misunderstood in marketing
• Why fear and misinformation are slowing adoption
• How top operators are quietly using AI to gain leverage
• The future of hiring and “bring your own AI” workflows
• A simple prompt strategy that changes how you use AI

Timestamps

• 00:00 – Intro and Amir’s background
• 02:39 – Why most businesses struggle with AI
• 05:01 – The importance of foundations
• 06:27 – What an integration partner actually does
• 08:08 – Why scaling creates chaos
• 09:14 – How AI implementation should start
• 10:59 – The brand DNA questionnaire
• 12:58 – The phased integration model
• 15:41 – Why AI takes time to work properly
• 16:26 – Connecting marketing, sales, and operations
• 20:06 – Real case study: saving $20,000 with AI
• 23:55 – Automating lead generation and follow-up
• 25:15 – Where AI is misunderstood
• 26:42 – Why people fear AI
• 32:46 – Case study: $1.8B company built with AI
• 37:10 – What to do if you’re just getting started
• 38:48 – Final advice on using AI properly

Key Takeaway

AI is not the advantage.

The advantage is knowing how to use it in the right order, at the right time, for the right problems.

Episode Summary

Most businesses focus on tactics.

Very few understand the systems behind them.

In this episode of Behind the Funnel, I sit down with Angelo Masters Jr., founder of Jacker Digital, to break down what actually changes when you move from small business marketing to enterprise-level execution.

We cover everything from running campaigns for brands like Netflix and Warner Brothers to helping small businesses scale with better systems, automation, and positioning.

If you're generating leads but struggling to convert, or feel like your marketing isn’t scaling, this episode will show you where the real gaps are.

What We Cover

• The difference between small business and enterprise marketing
• Why most funnels generate leads but don’t convert
• How enterprise companies scale using asset volume
• The biggest mistake small businesses make after generating leads
• Why nurturing and follow-up matter more than lead volume
• Automation vs AI and where people get it wrong
• Simple automations that create disproportionate results
• How to structure pipelines to avoid losing leads
• The power of internal notifications and clean systems
• Diagnostic offers and why they convert better
• How to build trust and credibility in client acquisition
• Why most agencies feel generic and how to stand out
• A non-traditional lead generation strategy that actually works
• How to use local chambers to land clients and build authority

Timestamps

• 00:00 – Intro and Angelo’s background
• 01:59 – What property management taught about systems
• 02:48 – Transition into marketing
• 05:04 – Demand vs scalability
• 07:13 – What changes at enterprise level
• 09:23 – Breaking down a high-performing campaign
• 12:46 – Enterprise strategies small businesses can use
• 14:52 – The importance of creative volume
• 16:42 – Why funnels fail to convert
• 18:52 – Automation vs AI explained
• 20:51 – Simple automations that work
• 23:12 – Organizing pipelines and systems
• 25:26 – Diagnostic offers explained
• 28:44 – Building trust in client acquisition
• 30:24 – Credibility and positioning
• 34:02 – Lead generation strategies that work
• 37:20 – Using chambers to get clients
• 39:27 – Where to find Angelo

Key Takeaway

Most businesses don’t have a lead problem.

They have a system problem.

Better assets, better follow-up, and better structure will outperform more leads every time.

Episode Summary

AI made execution easy.

Too easy.

Now the real problem isn’t how to build — it’s what to build.

In this episode of Behind the Funnel, I sit down with Samim Safaei again to break down something most people won’t admit:

They open ChatGPT, Claude, or any AI tool… and sit there with zero clarity on what to actually do next.

We dive into the “efficiency trap” — why people feel productive with AI but aren’t actually moving forward — and what it really takes to turn capability into direction.

If you’ve been building, testing, and still feel stuck… this episode explains why.

What We Cover

• Why AI made building easier… but decision-making harder
• The “efficiency trap” and fake productivity
• Why most people don’t know what to build (even with AI)
• The Zork analogy: infinite options, zero direction
• Why AI tools act like interns (and why that’s a problem)
• The real bottleneck: intent, not execution
• Why service businesses waste time building things they don’t need
• How founders fall into the “build everything” trap
• The difference between speed vs direction
• Why most ideas fail before they even hit the market
• The role of marketing as experimentation (not certainty)
• Founder journey cycles (Hormozi framework)
• Why niche-hopping happens — and when it’s actually useful
• How better filtering can save YEARS of wasted effort
• Why “why me?” is the most important question before building

Timestamps

• 00:01 – The problem nobody admits: “I don’t know what to build”
• 00:55 – The AI efficiency trap
• 01:40 – Why AI feels productive but isn’t
• 02:44 – Real-world client confusion with AI
• 04:22 – The self-driving car problem (no direction)
• 05:06 – The hidden cost of AI experimentation
• 06:05 – The Zork analogy explained
• 08:59 – Intent vs hand-holding in AI tools
• 09:30 – Is intent now the user’s responsibility?
• 10:48 – Prompting vs real thinking
• 12:01 – AI as intern vs AI as operating system
• 14:27 – The future of intent-based systems
• 15:15 – Why most founders lack clarity
• 18:03 – Niche hopping and founder journey reality
• 19:11 – Marketing = experimentation
• 21:03 – Why marketing isn’t predictable
• 23:51 – Why most products fail to reach market
• 25:07 – Speed vs direction (why faster isn’t better)
• 27:51 – The danger of false validation
• 28:56 – Can filtering cut years off your journey?
• 32:57 – Real founder journey (what actually happens)
• 35:26 – How AI should guide decisions (without replacing you)
• 37:50 – Purposeful vs fast execution
• 38:20 – The ONE question to ask before building anything
• 39:32 – Where to find Siift.ai

Key Takeaway

AI didn’t solve the hard part.

It removed the barrier to building… and exposed the real problem:

You don’t need more capability. You need better direction.

Episode Summary

AI was supposed to make building a business easier.

But instead… it’s exposed a completely different bottleneck.

In this episode of Behind the Funnel, I sit down with Samim Safaei from SIFT to break down what’s actually happening behind the scenes right now.

We go deep into why most founders are stuck even with AI, what “expensive motion” really looks like, and why the real advantage today isn’t tools — it’s direction.

If you’ve been feeling like you’re doing more… but not actually moving forward — this one will hit.

What We Cover

• Why AI didn’t remove bottlenecks — it shifted them
• The difference between automation and direction
• What “expensive motion” looks like in AI workflows
• Why founders feel productive… but stay stuck
• The real risk of too much optionality
• How AI is increasing decision-making pressure
• Why most AI agents are inefficient (and spinning in circles)
• The difference between using AI as an assistant vs. an operator
• Why memory is the biggest limitation in current AI tools
• How businesses will evolve into micro teams powered by AI
• What it actually means to run a business on an AI operating system

Timestamps

• 00:00 – Intro + why this conversation matters now
• 01:05 – How SIFT started and the shift in AI
• 03:14 – Is autonomy actually solved?
• 04:33 – “Expensive motion” explained
• 06:06 – Why direction > automation
• 07:57 – AI is increasing pressure on founders
• 08:48 – Why people feel productive but aren’t progressing
• 10:08 – The problem with too much optionality
• 11:35 – Strategy vs execution in AI
• 12:01 – Where real ideas should come from
• 13:48 – AI bias and dangerous feedback loops
• 15:08 – Assistant vs operating system thinking
• 17:02 – Should AI run your business?
• 18:43 – Liability and responsibility with AI
• 20:04 – Privacy risks and blind spots
• 21:50 – What a real AI business OS looks like
• 23:27 – Why AI tools break at scale
• 30:06 – Why startups still fail (even with AI)
• 31:47 – The future: micro teams + AI leverage
• 33:31 – Where SIFT fits into this shift
• 35:15 – Ideate → Validate → Accelerate framework
• 38:22 – AI agents vs GPS analogy
• 38:35 – Where to start if you’re overwhelmed
• 39:35 – Final thoughts

Key Takeaway

You don’t have a tools problem.

You don’t even have an execution problem.

You have a direction problem.

And until that’s solved, AI just makes you move faster… in the wrong direction.

🚀 Want More Conversations Like This?

Watch more episodes here: http://www.youtube.com/@yarekmatacz

Solo or small team? Then you know the drill: 40 chat threads, half-finished docs, and no clear next step. In this episode, Samim Safaei, co-founder of SIIFT.AI, breaks down how their “Founder’s Compass” turns messy ideas into structured, repeatable validation — without losing speed.

We cover:

• Why generic chat tools say “yes” to everything — and how SIIFT removes the fluff
• The real blocker: information architecture (not another app)
• Guided chat plus a structured canvas: brain dump in, clean strategy out
• What beta users taught the team about UX, education, and overwhelm
• Partnerships with accelerators and mentors to scale guidance (not replace it)
• Privacy and IP: why paying for software beats paying with your data
• Go-to-market goals, pricing philosophy, and where SIIFT goes next

Guest: Samim Safaei — Co-founder, SIIFT.AI Topics: Early-stage ops, validation, founder workflows, AI tooling, product UX

Learn more: siift.ai Connect with Samim: LinkedIn (search “Samim Safaei”)

If this episode saved you from another “where did I write that?” moment, share it with a founder friend and subscribe for more no-BS playbooks for building from zero to one.

Most people underestimate nonprofits. They’re not small or slow—they’re a $400B U.S. engine (trillions globally) that run on trust. Our guest Cyrus Kazi, co-founder & CEO of Quantably, explains why trust is a data problem—and how his team built an “operating system for impact” that finally connects collection, analysis, and reporting.

We cover:

• The multi-tool mess: why orgs juggle 17–25 disconnected apps—and what to do first
• Data strategy > data entry: collecting only what serves outcomes (Theory of Change, operationalized)
• Quantably’s “Impact LLM”: automated analysis for CEOs, CFOs, fundraisers—no stats degree required
• Reporting that donors believe: SROI, audit-ready narratives, and younger data-native donors
• GTM that works in this sector: partner channels (auditors, fundraising consultants) over cold outreach
• The future: why “data entry” dies this decade—replaced by conversational capture and inference
• Founder lessons: go to market right vs fast, vision-aligned teams, and knowing your limits

Guest: Cyrus Kazi — Co-founder & CEO, Quantably Topics: Nonprofit ops, impact measurement, data strategy, SROI, AI for social good

Learn more: quantably.com

Connect with Cyrus: LinkedIn (search “Cyrus Kazi”) | Email: [email protected]

Sick of living in your calendar? Founder Dario De Santis (Tweenlin) breaks down how his team is cutting the meeting overload—turning endless 1:1s and “quick syncs” into fast, human conversations without scheduling gymnastics.

We dig into:

• The real cost of meeting sprawl (and why remote work made it worse)
• How Tweenlin’s AI deflects 1:1s and small-group meetings into on-the-fly conversations
• What early pilots show: measurable productivity gains and “empty calendar” serenity
• Selling true workflow change into 10k–100k-person enterprises
• Why you don’t fail if you don’t give up: Dario’s 4-year founder journey from idea → Gartner “Cool Vendor”

If your team complains about meetings, send them this.

Guest: Dario De Santis — Founder & CEO, Tweenlin Topics: AI collaboration, meeting reduction, enterprise workflow, remote culture, productivity

Connect with Dario: LinkedIn (search “Dario De Santis”) Learn more: Tweenlin

Subscribe for more founder playbooks on building the future of work.

On this episode of Off the Grid on the Record, I sit down with Trey DeMobile, founder of Immersive Agentics, to unpack how small teams (from 2–15 people) are plugging in AI “employees” to reclaim time, reduce busywork, and tighten security without adding headcount.

We dig into practical, repeatable workflows—like an autonomous social media manager and a personalization enginethat drafts 1,000 custom emails in a few hours—plus where AI shines (high-volume, repetitive tasks) and where humans still win (empathy, relationship building, lateral problem-solving).

What we cover:

• Building AI “employees” from real job descriptions (qualifying, research, social, outreach)
• Why the goal isn’t “replace people,” it’s free them to shake more hands & close more deals
• The limits today: AI needs a “pitch,” struggles with human nuance, and shouldn’t fake being human
• Security reality check: AI increases both attack velocity and defense—how to think about risk
• Tool sprawl vs. training: why teams underinvest in AI fluency and overpay for features
• Ideal fits: nonprofits, real estate, trades, solopreneurs—anyone who thrives on relationships
• Culture shifts: upskilling entry roles to higher-value work as AI takes the grunt work

Guest links:

• Immersive Agentics — immersiveagenetics.com

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