Everyday Business Problems

Dave Crysler kicks off a three-part series with Cody Fisher, President of Concordance Innovations, to unpack the real challenges facing the healthcare supply chain. In this first episode, they dig into why the industry struggles with data trust, how organizations get trapped in analysis paralysis, and what it actually takes to drive change in one of the most complex supply chains in the world.

What You'll Discover:

• Why healthcare supply chains can't benchmark themselves against retail or automotive, and what makes the stakes fundamentally different • How data distrust cascades through every decision, from ordering to inventory to forecasting • Why waiting to "clean your data first" is a trap that keeps organizations stuck for years • The real fear behind AI and automation adoption: are we just speeding up bad processes? • Why optimizing for cost and maintaining resiliency aren't tradeoffs in healthcare, they're both non-negotiable • How flipping the question from "why should we change?" to "what happens if we don't?" creates breakthrough moments • The shift from squeezing contracts and price to creating value through operational change • What leadership characteristics actually drive innovation, and why the best leaders are great storytellers

Whether you lead supply chain operations in healthcare or any industry wrestling with complexity, data challenges, and the pressure to modernize, this conversation will ground you in the realities that matter before the solutions make sense.

Dave Crysler breaks down one of the most expensive, invisible problems in manufacturing operations: competing sources of truth. Using a real example from a print manufacturer running three parallel systems, Dave walks through what happens when leadership never declares which system is the master, and why the resulting chaos costs six figures before anyone even notices.

What You'll Discover:

• Why "which number do we use" is probably the most expensive question in your organization • How a print manufacturer's MIS, accounting tool, and paper job tickets created a no-win invoicing nightmare • The two types of people who suffer most when sources of truth compete, and why both cost you on different timelines • Why this is a leadership decision, not a technology problem, and the critical difference between having one system and having one master • How people gravitate toward whichever system gives them the convenient answer in the moment • Why companies that grow through acquisition face a multiplied version of this same problem • The crawl step most leaders skip: why you audit before you decide, not the other way around • How to designate a master source of truth and enforce it through Clarity, Consistency, and Accountability

If your team spends more time questioning where a number came from than acting on what it means, this episode will change how you think about the systems running your business. The tools are rarely the problem. The absence of a decision is.

Dave Crysler sits down with Sharon Custer, founder of Inventory Optimization Pro, to unpack why so many manufacturers trust their system numbers while their warehouse tells a completely different story. Sharon spent years in inventory strategy inside a Fortune 100 manufacturer before launching her own practice, and she brings real examples of how misaligned data, inconsistent naming, and siloed thinking quietly erode cash flow and operational performance.

What You'll Discover:

• Why a 100% inventory count can still leave you with stock-outs and overstock at the same time • How SKU naming inconsistencies create ghost inventory that ties up cash and tanks your reporting • The real cost of "deferred explanations," inventory adjustments that never get to root cause • Why your demand forecast is probably built on false data, and how stock-outs and promotions distort the numbers • How to gold-tag a single order and track its full journey to expose hidden margin leaks • Why treating inventory like cash, and cycle counting like bank reconciliation, is the foundation for accuracy • Where AI actually helps with inventory operations, and why clean data has to come first • How siloed thinking between finance, operations, and purchasing means everyone is looking at the same system but drawing different conclusions

If you are running inventory-based operations and wondering why the numbers never quite add up, this conversation will help you see where the real problems are hiding, and what to do about them starting this week.

Dave Crysler breaks down the everyday cost of key person dependency, the kind that doesn't make headlines but quietly drains five to six figures from manufacturers and service businesses every year. This isn't about the catastrophic "what if someone gets hit by a bus" scenario. It's about what happens every Tuesday when the person who knows how everything runs is tied up in a meeting for two hours.

What You'll Discover:

• Why key person dependency is a systems design problem, not a people problem • How a project manager's wedding exposed a complete lack of handoff systems at one manufacturer • The software vendor story where weeks of escalations turned out to be a one-sentence fix • Why most organizations reach for technology first and end up amplifying dysfunction • How Clarity, Consistency, and Accountability connect directly to eliminating bottleneck decisions • The difference between blaming "operator error" and investigating what the system actually told people to do • Why "start in the micro" is the fastest way to document tribal knowledge without a painful months-long project • How to build escalation paths that empower your team without losing control • The fire drill approach to stress testing your systems before the real absence happens • What it actually costs when five, ten, or fifteen people are waiting on one gatekeeper to make a decision

If your operation slows down every time you step into a meeting or take a day off, this episode walks you through exactly where to start fixing it, one decision at a time.

Dave Crysler breaks down why constant firefighting in your business is not a workload problem, a people problem, or a busy season. It is a system you built. Through years of reinforcement, leaders unintentionally become the gatekeeper of every decision, every problem, and every task, and the organization learns to stop thinking for itself. The good news is, because you built it, you can rebuild it a completely different way.

What You'll Discover:

• Why firefighting mode is a system you designed, not a phase you are stuck in • How leaders unintentionally remove critical thought from their teams through reinforcement • The reactive maintenance trap, and how one equipment failure triggers a cascade that touches every part of the business • Why you never have time to be proactive, but always find time for emergencies • What firefighting culture does to your team, from turnover clues to people who stop contributing ideas entirely • The "Groundhog Day" question every leader needs to ask themselves in the mirror • Why the middle management layer faces the hardest version of this problem, with pressure from above and below • How Clarity, Consistency, and Accountability provides the sequential path out, and why the order matters • Where Planning, People, Process, Technology fits when you start rebuilding • How the Plan, Execute, Review, Revise, Repeat cycle replaces reactive fixes with real forward progress

If you are spending every day putting out fires and never getting to the work that actually moves your business forward, this episode lays out exactly what is keeping you stuck and the framework to start rebuilding.

In this solo episode of the Everyday Business Problems podcast, Dave Crysler answers the most fundamental question about his consulting practice: why does The Crysler Club exist? Rather than a pitch or a company overview, Dave breaks down the real gap in the operations consulting world that mid-market manufacturers face every day, and why the dominant advice from SaaS vendors, Big 4 firms, and AI agencies was never built for them.

What You'll Discover:

• Why Googling "operational excellence consulting" returns almost nothing useful for a $15M manufacturer with 60 people
• How SaaS companies, Big 4 firms, and AI agencies all see your problems through the lens of what they sell, not what you actually need
• What operational excellence really means for a mid-market manufacturer (hint: it's not a program or a certification)
• Why your next operations hire will probably come from the same sized companies you're already running, and the experience gap that creates
• How The Crysler Club's Operations On-Demand subscription model works and why it's structured differently than fractional or traditional consulting
• The core frameworks behind everything Dave teaches: Clarity, Consistency, and Accountability, plus Planning, People, Process, Technology (in that order)
• Why Dave calls it "management by walking around" instead of using Japanese terminology, and what that says about his approach to operational excellence
• How nearly 30 years on shop floors (not in conference rooms) shaped a consulting practice built for practitioners, not academics
• Why every article, podcast episode, newsletter, and framework is published for free, and why clients still hire him anyway
• What Dave is building next to make operational excellence accessible to more businesses than he can personally serve

If you're leading a small to mid-market manufacturer that's outgrown its systems but can't find help that actually understands your world, this episode will show you that the gap you've been feeling is real, and that there's a different way to get the operational support you need.

In this solo episode of the Everyday Business Problems podcast, Dave Crysler tackles one of the most common patterns he sees in operations: the leader who has six critical problems and wants all of them fixed yesterday. Drawing from a recent conversation with a client and decades of shop floor experience, Dave unpacks the three traps that keep teams stuck in reactive mode and lays out a practical starting point for breaking the cycle, without overcomplicating it.

What You'll Discover:

• Why listing six critical priorities in two minutes is a symptom, not a strategy
• The three traps that keep organizations in constant firefighting mode
• How chasing the loudest customer complaint creates a cycle that repeats with the next customer
• Why "take a beat" is not the same as analysis paralysis, and why leaders jump to that conclusion
• How problems that look separate on the surface are often connected at the root cause level
• Why throwing overtime at late shipments treats the symptom while the real problem grows
• How process flow mapping reveals connections that are invisible from inside the daily chaos
• The legal pad method: a low-tech, 30-day approach to collecting data when you have none
• Why picking one priority through the lens of the customer is the fastest way to move the needle
• How this work is simple, not easy, and what experience and outside perspective actually provide

If your team is stuck in a cycle where every week feels like a new fire drill and nothing ever gets truly fixed, this episode breaks down why that happens and where to start changing it.

In this solo episode of the Everyday Business Problems podcast, Dave Crysler tackles one of the most common questions growing companies ask: should we hire a fractional COO or a full-time COO? His answer might surprise you; you're asking the wrong question entirely. Drawing from nearly 30 years of operations leadership and his own evolution from traditional consulting to an Operations on Demand model, Dave breaks down why defining the problem you're actually trying to solve matters far more than filling a predefined role on your org chart.

What You'll Discover:

• Why "should I hire a fractional or full-time COO?" is the wrong starting question for most growing companies.
• How predefined roles and titles lead to compromises that don't actually solve the real problem.
• The difference between what a fractional COO actually does versus what most people marketing themselves as "fractional" deliver.
• Why the COO role looks completely different at $800K, $8M, and $80M in revenue, and why that matters for your hiring decision.
• How companies end up swapping tools (HubSpot to Salesforce, etc.) when the real issue is planning, people, and process, not the technology.
• The shipyard story: what a ball-peen hammer and a $15,000 invoice teach us about the value of experience.
• What "Operations on Demand" means and how it differs from fractional leadership or traditional consulting.
• How to use a crawl-walk-run approach to diagnose what your organization actually needs before making a hire.

If you're a growing company debating whether to bring in outside leadership help, this episode will reframe the conversation and help you focus on the problem first — before the title, the role, or the org chart.

In this episode of the Everyday Business Problems podcast, Dave Crysler sits down with Sagar Pandya, founder, AI strategist, and cybersecurity expert, to unpack why most organizations are approaching AI adoption the wrong way. After selling his IT and cybersecurity company, Sagar launched Special AI to help businesses adopt AI with confidence, clarity, and real-world results. Together, they dig into why the rush to implement AI tools without foundational readiness leads to wasted spend, failed pilots, and frustrated teams.

Using real examples from manufacturing, finance, logistics, and service businesses, this conversation lays out a practical diagnostic framework and reveals why culture, not technology, is the true make-or-break factor in AI success.

What You'll Discover:

• Why most organizations skip the diagnostic and jump straight to buying AI tools and licenses, and why that backfires.
• The three foundational questions every business must answer before adopting AI: data governance, security posture, and leadership alignment.
• How AI is creating a massive identity crisis inside organizations, and why employee fear and resistance are valid and must be addressed.
• Why the C-suite is often the most disconnected from how work actually gets done, and the risks that creates during AI rollouts.
• Real-world examples of AI use cases across three maturity levels: crawling, walking, and running with AI.
• How a transportation company is using AI to build a dynamic pricing engine with external variables no human team could process at scale.
• Why celebrating failures and lessons learned matters more than showcasing wins during change initiatives.
• The single most important piece of advice for operations leaders heading into 2026: talk to your employees, your AI strategy already lives inside their heads.

If your organization is feeling the pressure to "do something with AI" but doesn't know where to start, this episode will help you slow down, ask the right questions, and build a foundation that actually leads to sustainable adoption.

In this solo episode of the Everyday Business Problems podcast, Dave Crysler breaks down a root issue that quietly derails improvement efforts across organizations, weak problem statements. Drawing from decades of root cause analysis work in manufacturing and service businesses, Dave explains why vague declarations like "we want to implement AI" or "we have a quality issue" lead teams to chase symptoms instead of solving real problems.

Using clear, real-world examples, this episode shows how stronger problem statements create clarity, alignment, and better decisions, before tools, solutions, or fixes ever enter the conversation.

What You'll Discover:

• Why most teams confuse problem statements with goals or solutions.

• How vague problems lead to wasted time, money, and energy.

• The difference between symptoms and true root causes.

• Real examples of weak vs. strong problem statements from operations and services.

• Common traps like mixing in solutions, outcomes, or assumptions too early.

• How overly detailed problem statements can be just as harmful as vague ones.

• Simple tests to know whether your problem statement is clear enough to act on.

• Why strong problem definition is the foundation of clarity, consistency, and accountability.

If your team keeps fixing the same issues over and over, or if new tools and initiatives never seem to deliver the impact you expect, this episode will help you slow down, sharpen your thinking, and start solving the right problems first.