Facilities Unfiltered - The Built Reality Castos https://home.akitabox.com/facilities-unfiltered-podcast What does “best practice” facility management actually look like—and why does it rarely match reality? In this podcast, Josh Lowe and Nic Guedenet tackle the gap between the FM lifecycle as it’s taught in textbooks and how it actually plays out on the ground. Join us for candid discussions about how emerging technologies and smarter practices can help bridge the gap between FM theory and FM reality—before it’s too late. Wed, 20 May 2026 03:23:00 +0000 en © 2026 https://episodes.castos.com/699639f7b73254-08903347/images/podcast/covers/c1a-7gwz3-1prv535zb4q-4te3ej.png Facilities Unfiltered - The Built Reality https://home.akitabox.com/facilities-unfiltered-podcast What does “best practice” facility management actually look like—and why does it rarely match reality? In this podcast, Josh Lowe and Nic Guedenet tackle the gap between the FM lifecycle as it’s taught in textbooks and how it actually plays out on the ground. Join us for candid discussions about how emerging technologies and smarter practices can help bridge the gap between FM theory and FM reality—before it’s too late. AkitaBox episodic What does “best practice” facility management actually look like—and why does it rarely match reality? In this podcast, Josh Lowe and Nic Guedenet tackle the gap between the FM lifecycle as it’s taught in textbooks and how it actually plays out on the ground. Join us for candid discussions about how emerging technologies and smarter practices can help bridge the gap between FM theory and FM reality—before it’s too late. AkitaBox marketing@akitabox.com false https://feeds.castos.com/4mgkd yes <![CDATA[The Staffing Cliff | Facilities Unfiltered | Episode 15]]> Wed, 20 May 2026 03:23:00 +0000 AkitaBox https://permalink.castos.com/podcast/69194/episode/2466100 https://facilitiesunfiltered.com Facilities teams everywhere are approaching “the staffing cliff", and it’s not just about hiring more people. In Episode 15, Josh and Nic unpack why staffing shortages, turnover, and an aging workforce are colliding with the reality that most professionals don’t choose facilities as a career path—they stumble into it.

With too few accredited FM degree programs and long hiring cycles for leadership roles, the gap isn’t closing anytime soon, which raises a tougher question: what can leaders do right now? The conversation dives into pragmatic strategies facilities leaders can use to stabilize operations and make the case for support—without sounding like “another squeaky wheel.”

From in-house vs. outsourced models (and when service providers become the “easy button”) to the hidden cost of institutional knowledge living only in people’s heads, Josh and Nic explore how process, metrics, and the right tools can help teams onboard faster, retain talent, and tell a clearer story to CFOs and boards. If you’re trying to do more with less—and prove what it really takes to run the built environment—this episode is for you.

Chapters

  • (00:00:00) - Facilities Unfiltered: Staffing Issues
  • (00:06:23) - Facility Management: Understaffing
  • (00:09:42) - Are You Ready for a Healthcare Crossover?
  • (00:11:58) - In-House vs Outsourced: The Value of Service Providers
  • (00:13:39) - Service Provider vs In-House Contractor
  • (00:17:29) - Facility Staffing Crisis
  • (00:23:46) - CFO Forum: The Need for Metrics
]]> full 15 false Facilities teams everywhere are approaching “the staffing cliff", and it’s not just about hiring more people. In Episode 15, Josh and Nic unpack why staffing shortages, turnover, and an aging workforce are colliding with the reality that most professionals don’t choose facilities as a career path—they stumble into it.

With too few accredited FM degree programs and long hiring cycles for leadership roles, the gap isn’t closing anytime soon, which raises a tougher question: what can leaders do right now? The conversation dives into pragmatic strategies facilities leaders can use to stabilize operations and make the case for support—without sounding like “another squeaky wheel.”

From in-house vs. outsourced models (and when service providers become the “easy button”) to the hidden cost of institutional knowledge living only in people’s heads, Josh and Nic explore how process, metrics, and the right tools can help teams onboard faster, retain talent, and tell a clearer story to CFOs and boards. If you’re trying to do more with less—and prove what it really takes to run the built environment—this episode is for you.

]]> 00:28:52 <![CDATA[COVID & FM, A Six-Year Reflection | Facilities Unfiltered Episode 14]]> Wed, 13 May 2026 03:23:00 +0000 AkitaBox https://permalink.castos.com/podcast/69194/episode/2427612 https://facilitiesunfiltered.com Six years after COVID was declared a national emergency, Josh Lowe and Nic Guedenet look back on how the pandemic reshaped facilities management—overnight. From the split reality of “essential worker” life versus remote work improvisation, they unpack what it felt like to keep buildings safe and operational while guidance, supply chains, and expectations shifted almost daily.

This reflection digs into the real FM lessons that stuck (and the ones that faded): the scramble for cleaning products, the rise of “cleaning theater,” and the rapid push to upgrade HVAC performance—sometimes with unintended consequences like overtaxed equipment, burned-out motors, and growing deferred maintenance.

They also talk candidly about the human side: burnout, retention, leadership support (or lack of it), and how hybrid work has permanently changed building loads, energy strategies, and the need for better data. If you manage—or simply occupy—buildings, this episode offers a grounded take on what COVID revealed about preparedness, trust, and knowing what you’re responsible for.

Chapters

  • (00:00:05) - The Covid Crisis: Six Years Later
  • (00:05:33) - Overnight Essential Workers: What Went Right
  • (00:09:20) - Custodial Experience under Covid
  • (00:16:02) - MRV13 and the HVAC Standards
  • (00:22:38) - The Covid Effect on Employee Relations
  • (00:28:51) - Six years on, are we back to the same old habits?
  • (00:30:35) - COVID: A Positive Experience
  • (00:32:29) - Cleaning Your Building
]]> full 14 false Six years after COVID was declared a national emergency, Josh Lowe and Nic Guedenet look back on how the pandemic reshaped facilities management—overnight. From the split reality of “essential worker” life versus remote work improvisation, they unpack what it felt like to keep buildings safe and operational while guidance, supply chains, and expectations shifted almost daily.

This reflection digs into the real FM lessons that stuck (and the ones that faded): the scramble for cleaning products, the rise of “cleaning theater,” and the rapid push to upgrade HVAC performance—sometimes with unintended consequences like overtaxed equipment, burned-out motors, and growing deferred maintenance.

They also talk candidly about the human side: burnout, retention, leadership support (or lack of it), and how hybrid work has permanently changed building loads, energy strategies, and the need for better data. If you manage—or simply occupy—buildings, this episode offers a grounded take on what COVID revealed about preparedness, trust, and knowing what you’re responsible for.

]]> 00:33:45 <![CDATA[AI Across the Lifecycle Series #4 - Bolt-On vs. Built-In AI. Why AI in FM Software Isn't All Equal | Episode 13]]> Wed, 06 May 2026 03:23:00 +0000 AkitaBox https://permalink.castos.com/podcast/69194/episode/2444028 https://facilitiesunfiltered.com In the finale of our AI Across the Lifecycle series, Josh and Nic sit down with AkitaBox product expert Dan Cooper to cut through the noise around “AI-enabled” facility management software.

With AI suddenly everywhere—from IFMA show floors to CMMS feature lists—the team unpacks a crucial reality: not all AI is created equal, and a bolt-on chatbot that summarizes work orders is a very different animal than AI that’s trained for facilities and built directly into your workflows.

You’ll hear what “trained” vs. “untrained” AI really means in practice, why most FM data sets degrade the moment they’re delivered, and how AI-native systems can help close the gap by writing data, flagging missing fields, and focusing teams on the few changes that actually matter.

They also share a simple set of questions owners should ask any vendor claiming AI capabilities—plus a look at the bigger prize: moving from stale point-in-time assessments to “living data” and predictive signals that can trigger diagnostics before failures happen.

Chapters

  • (00:02:56) - Training AI vs Untrained AI
  • (00:10:19) - Maintain Your Data: Will I Die on the Hill?
  • (00:15:46) - Is AI Worth the Investment in Your Data?
  • (00:23:32) - How AI Can Help You Manage the Heat
]]> full 13 false In the finale of our AI Across the Lifecycle series, Josh and Nic sit down with AkitaBox product expert Dan Cooper to cut through the noise around “AI-enabled” facility management software.

With AI suddenly everywhere—from IFMA show floors to CMMS feature lists—the team unpacks a crucial reality: not all AI is created equal, and a bolt-on chatbot that summarizes work orders is a very different animal than AI that’s trained for facilities and built directly into your workflows.

You’ll hear what “trained” vs. “untrained” AI really means in practice, why most FM data sets degrade the moment they’re delivered, and how AI-native systems can help close the gap by writing data, flagging missing fields, and focusing teams on the few changes that actually matter.

They also share a simple set of questions owners should ask any vendor claiming AI capabilities—plus a look at the bigger prize: moving from stale point-in-time assessments to “living data” and predictive signals that can trigger diagnostics before failures happen.

]]> 00:26:40 <![CDATA[AI Across the Lifecycle Series #4 - Lifecycle, Costing, & Capital Planning | Facilities Unfiltered Episode 12]]> Wed, 29 Apr 2026 03:23:00 +0000 AkitaBox https://permalink.castos.com/podcast/69194/episode/2427608 https://facilitiesunfiltered.com Capital planning has always asked facilities teams to “predict the future” with tools that weren’t built to be maintained—binders, spreadsheets, PDFs, and one-time assessments that quickly go stale. In this installment of the AI Across the Lifecycle series, Josh Lowe and Nic Guedenet get candid about why traditional lifecycle costing models erode trust (when the model says four panels but the building has 22) and why the real bottleneck isn’t technology—it’s culture, workflow, and how consistently teams capture the right data.

They dig into what AI can actually change when the fundamentals are in place: more realistic, variable-aware cost forecasting (labor type, prevailing wage impacts, permitting, rigging, disposal, contingencies), continuously updating ROM estimates that reflect market shifts, and scenario planning that helps leaders understand the true cost of underfunding.

Along the way, they unpack practical steps you can take now—even in an “old crappy system”—from tying work to the actual asset, to building a site-specific useful life table, to tapping purchasing history, so you’re not waiting for a “magic button” to start getting better outcomes.

]]> full 12 false Capital planning has always asked facilities teams to “predict the future” with tools that weren’t built to be maintained—binders, spreadsheets, PDFs, and one-time assessments that quickly go stale. In this installment of the AI Across the Lifecycle series, Josh Lowe and Nic Guedenet get candid about why traditional lifecycle costing models erode trust (when the model says four panels but the building has 22) and why the real bottleneck isn’t technology—it’s culture, workflow, and how consistently teams capture the right data.

They dig into what AI can actually change when the fundamentals are in place: more realistic, variable-aware cost forecasting (labor type, prevailing wage impacts, permitting, rigging, disposal, contingencies), continuously updating ROM estimates that reflect market shifts, and scenario planning that helps leaders understand the true cost of underfunding.

Along the way, they unpack practical steps you can take now—even in an “old crappy system”—from tying work to the actual asset, to building a site-specific useful life table, to tapping purchasing history, so you’re not waiting for a “magic button” to start getting better outcomes.

]]> 00:33:25 <![CDATA[AI Across the Lifecycle Series #3 - Development of Preventive Maintenance with AI | Facilities Unfiltered Episode 11]]> Wed, 22 Apr 2026 03:23:00 +0000 AkitaBox https://permalink.castos.com/podcast/69194/episode/2424662 https://facilitiesunfiltered.com In this AI Across the Lifecycle Series installment, Josh Lowe and Nic Guedenet unpack where AI can genuinely help PM teams right now: accelerating calendar-based schedules by pulling from trusted sources like manufacturer O&M manuals and industry standards, while avoiding the “bad data faster” trap that comes from poorly constrained tools and questionable inputs.

From there, the conversation moves into the real-world complexity: how to balance manufacturer-prescriptive recommendations with what’s actually worth the squeeze, how to rethink “preventive vs. reactive” KPIs in a world of sensors and BMS alarms, and why the biggest opportunity may be AI acting as the brain layer—prioritizing work when staffing and time are constrained. They also dig into practical, high-impact possibilities like dynamically adjusting PM plans when staffing changes, bundling tasks when a tech is already on-site, and using AI to reinforce safety procedures and SOPs so efficiency never comes at the expense of people.

Chapters

  • (00:00:06) - Unfiltered: The Built Reality
  • (00:00:33) - What Do We Need For AI in Preventative Maintenance?
  • (00:07:18) - Reactive PMs: Is the AI Good for Business?
  • (00:13:53) - Preventative Maintenance: Culture Shift
  • (00:21:19) - Is AI Integrating With BMS Systems?
  • (00:28:14) - A Week in the AI Wars
]]> full 11 false In this AI Across the Lifecycle Series installment, Josh Lowe and Nic Guedenet unpack where AI can genuinely help PM teams right now: accelerating calendar-based schedules by pulling from trusted sources like manufacturer O&M manuals and industry standards, while avoiding the “bad data faster” trap that comes from poorly constrained tools and questionable inputs.

From there, the conversation moves into the real-world complexity: how to balance manufacturer-prescriptive recommendations with what’s actually worth the squeeze, how to rethink “preventive vs. reactive” KPIs in a world of sensors and BMS alarms, and why the biggest opportunity may be AI acting as the brain layer—prioritizing work when staffing and time are constrained. They also dig into practical, high-impact possibilities like dynamically adjusting PM plans when staffing changes, bundling tasks when a tech is already on-site, and using AI to reinforce safety procedures and SOPs so efficiency never comes at the expense of people.

]]> 00:28:33 <![CDATA[AI Across the Lifecycle Series #2 - The Foundation: Data Collection & Cleanliness | Facilities Unfiltered Episode 10]]> Wed, 15 Apr 2026 03:23:00 +0000 AkitaBox https://permalink.castos.com/podcast/69194/episode/2417796 https://facilitiesunfiltered.com AI promises to help facilities teams do more with less—but only if the foundation is solid. In this second episode of the AI Across the Lifecycle series, Josh and Nic sit down with AkitaBox Director of Product Geoff Baron to unpack the unglamorous (and absolutely essential) reality behind successful AI in the built environment: data collection, structure, and cleanliness. From “garbage in, garbage out” to why AI will confidently fill gaps when your data model is broken, they break down what facilities leaders should do before they ever “push the go button.”

You’ll hear practical perspective on why so many AI projects miss expectations, how to think about AI as an “exoskeleton” rather than a replacement for human judgment, and where early wins can show up once your data is in shape. If you’re curious about AI but wary of hype, privacy concerns, or messy reality on the ground, this episode maps the path from hesitation to readiness—without pretending the hard parts don’t exist.

Chapters

  • (00:00:05) - Facilities Unfiltered: The Built Environment
  • (00:08:19) - What's the Next Quagmire for AI in Business?
  • (00:12:45) - What Should FMs Expect From AI?
  • (00:18:22) - What are the Easy Wins for AI in the Data Industry?
  • (00:23:10) - A Week in the Life of AI
]]> full 10 false AI promises to help facilities teams do more with less—but only if the foundation is solid. In this second episode of the AI Across the Lifecycle series, Josh and Nic sit down with AkitaBox Director of Product Geoff Baron to unpack the unglamorous (and absolutely essential) reality behind successful AI in the built environment: data collection, structure, and cleanliness. From “garbage in, garbage out” to why AI will confidently fill gaps when your data model is broken, they break down what facilities leaders should do before they ever “push the go button.”

You’ll hear practical perspective on why so many AI projects miss expectations, how to think about AI as an “exoskeleton” rather than a replacement for human judgment, and where early wins can show up once your data is in shape. If you’re curious about AI but wary of hype, privacy concerns, or messy reality on the ground, this episode maps the path from hesitation to readiness—without pretending the hard parts don’t exist.

]]> 00:25:46 <![CDATA[AI Across the Lifecycle Series #1 - What AI Can’t Do | Facilities Unfiltered Episode 9]]> Wed, 08 Apr 2026 03:23:00 +0000 AkitaBox https://permalink.castos.com/podcast/69194/episode/2411769 https://facilitiesunfiltered.com AI is everywhere in facility management right now—but hype doesn’t equal reality. In the kickoff of our “AI Across the Lifecycle” series, Josh Lowe and Nic Guedenet cut through the buzzwords to talk about what AI can’t do in FM, and why that matters if you’re trying to adopt it without wasting time, budget, or trust.

They unpack the rapid acceleration of AI adoption, why so many AI projects still fall short, and the biggest constraints most teams run into—starting with foundational data. You’ll also hear why AI can’t “walk the floor,” can’t replace relationships and on-the-ground judgment, and struggles with truly novel facility problems. The takeaway: AI isn’t a magic button, but it is a powerful force multiplier—especially for understaffed, underfunded teams—if you start small, pick a use case, prove value, and keep building momentum.

]]> full 9 false AI is everywhere in facility management right now—but hype doesn’t equal reality. In the kickoff of our “AI Across the Lifecycle” series, Josh Lowe and Nic Guedenet cut through the buzzwords to talk about what AI can’t do in FM, and why that matters if you’re trying to adopt it without wasting time, budget, or trust.

They unpack the rapid acceleration of AI adoption, why so many AI projects still fall short, and the biggest constraints most teams run into—starting with foundational data. You’ll also hear why AI can’t “walk the floor,” can’t replace relationships and on-the-ground judgment, and struggles with truly novel facility problems. The takeaway: AI isn’t a magic button, but it is a powerful force multiplier—especially for understaffed, underfunded teams—if you start small, pick a use case, prove value, and keep building momentum.

]]> 00:29:49 <![CDATA[From the Navy to the Future of FM | Facilities Unfiltered Episode 8]]> Wed, 01 Apr 2026 03:23:00 +0000 AkitaBox https://permalink.castos.com/podcast/69194/episode/2405625 https://facilitiesunfiltered.com What does a Navy public works officer’s toolkit—whiteboards, logbooks, and mission-first decision making—teach us about the future of facility management?

In this episode of Facilities Unfiltered - The Built Reality, Josh and Nic sit down with Kris Stoddard, CEO of GoldenWolf, to trace her path from military installations to global operations and unpack how FM has evolved from institutional knowledge and reactive “firefighting” into a data-driven discipline. Kris shares hard-earned lessons on why technology alone won’t fix a reactive maintenance culture (it only amplifies what’s already there), how to define and defend “mission critical” in the face of competing priorities, and why owners keep “admiring the backlog” instead of building a sustainable program.

They also look ahead to what’s next—interoperability, resiliency and climate frameworks, human-centric operations, smarter buildings, and the promise (and data overwhelm) of sensors and digital twins—ending with practical career advice for the next generation.

Chapters

  • (00:00:05) - Facilities Unfiltered
  • (00:00:53) - Golden Wolf CEO on the Need for Predictive Maintenance
  • (00:07:41) - What Is the Military Facility Management Different Than Private Sector Facilities?
  • (00:10:31) - Planning for the Future: The Role of Technology in Organizations
  • (00:16:33) - Facility Management Standards for the Future
  • (00:21:33) - Facilities Management Lecture
]]> full 8 false What does a Navy public works officer’s toolkit—whiteboards, logbooks, and mission-first decision making—teach us about the future of facility management?

In this episode of Facilities Unfiltered - The Built Reality, Josh and Nic sit down with Kris Stoddard, CEO of GoldenWolf, to trace her path from military installations to global operations and unpack how FM has evolved from institutional knowledge and reactive “firefighting” into a data-driven discipline. Kris shares hard-earned lessons on why technology alone won’t fix a reactive maintenance culture (it only amplifies what’s already there), how to define and defend “mission critical” in the face of competing priorities, and why owners keep “admiring the backlog” instead of building a sustainable program.

They also look ahead to what’s next—interoperability, resiliency and climate frameworks, human-centric operations, smarter buildings, and the promise (and data overwhelm) of sensors and digital twins—ending with practical career advice for the next generation.

]]> 00:23:41 <![CDATA[95% Accuracy, 5-Cent Budgets: Clarifying The Great FCA Delusion | Episode7]]> Wed, 25 Mar 2026 03:23:00 +0000 AkitaBox https://permalink.castos.com/podcast/69194/episode/2401200 https://facilitiesunfiltered.com You want an FCA. But have you asked yourself why?

Josh and Nic are joined by Brian Carlin from Partner Engineering — a mechanical engineer with 20 years and 10 million square feet of building assessments behind him. Together, they dig into the gap between what owners think they're buying and what they actually need, why chasing blanket accuracy misses the point, and what really determines whether an FCA delivers value or just another binder for the shelf.

Plus: the awkward reality of being escorted through a building by someone who'd rather be doing literally anything else — and how to change that dynamic.

Facilities Unfiltered is sponsored by AkitaBox.

]]> full 7 false You want an FCA. But have you asked yourself why?

Josh and Nic are joined by Brian Carlin from Partner Engineering — a mechanical engineer with 20 years and 10 million square feet of building assessments behind him. Together, they dig into the gap between what owners think they're buying and what they actually need, why chasing blanket accuracy misses the point, and what really determines whether an FCA delivers value or just another binder for the shelf.

Plus: the awkward reality of being escorted through a building by someone who'd rather be doing literally anything else — and how to change that dynamic.

Facilities Unfiltered is sponsored by AkitaBox.

]]> 00:21:51 <![CDATA[You Need More Than Data; You Need a Strategy]]> Wed, 18 Mar 2026 03:23:00 +0000 AkitaBox https://permalink.castos.com/podcast/69194/episode/2397671 https://facilitiesunfiltered.com Ever wonder why a building that hasn't been touched in five years suddenly looks better on paper in a new assessment? Spoiler: it's not magic—it's a strategy problem. In this episode of Facilities Unfiltered the Built Reality, hosts Josh Lowe and Nic Guedenet dig into the messy reality of facility condition assessments and why having data isn't the same as having a plan. They break down what happens when different firms use different methodologies, why owners shouldn't just hand the keys to the professionals and hope for the best, and the uncomfortable truth that even your data needs maintenance.

From scoring inconsistencies to the chaos of competitive bidding, Josh and Nic explore the gap between expectations and reality—and why establishing your own prioritization standards might be the smartest move you make. Whether you're preparing for a referendum, managing a portfolio, or just trying to make sense of conflicting reports, this conversation is a must-listen for anyone who wants their facility data to actually mean something. Stop fighting the fires and start managing the heat.

Chapters

  • (00:00:00) - Facilities Unfiltered: Data, Strategy and Condition Assessment
  • (00:05:00) - The Need for a Standardization of Infrastructure Priorities
  • (00:12:08) - On Maintenance & Budgeting
]]> full 6 false Ever wonder why a building that hasn't been touched in five years suddenly looks better on paper in a new assessment? Spoiler: it's not magic—it's a strategy problem. In this episode of Facilities Unfiltered the Built Reality, hosts Josh Lowe and Nic Guedenet dig into the messy reality of facility condition assessments and why having data isn't the same as having a plan. They break down what happens when different firms use different methodologies, why owners shouldn't just hand the keys to the professionals and hope for the best, and the uncomfortable truth that even your data needs maintenance.

From scoring inconsistencies to the chaos of competitive bidding, Josh and Nic explore the gap between expectations and reality—and why establishing your own prioritization standards might be the smartest move you make. Whether you're preparing for a referendum, managing a portfolio, or just trying to make sense of conflicting reports, this conversation is a must-listen for anyone who wants their facility data to actually mean something. Stop fighting the fires and start managing the heat.

]]> 00:17:37 <![CDATA[Hard, Soft, and the Data In Between]]> Wed, 11 Mar 2026 03:23:00 +0000 AkitaBox https://permalink.castos.com/podcast/69194/episode/2388633 https://facilitiesunfiltered.com When your irrigation system turns an athletic field into a mud pit, your janitorial team becomes collateral damage. In this episode of Facilities Unfiltered, hosts Josh Lowe and Nic Guedenet sit down with Dave Scroggins, a 15-year facilities veteran who manages 250,000 square feet across two San Francisco Bay Area sites for Cushman and Wakefield. Dave shares war stories about chasing leaks with 20-year-old as-builts (spoiler: it's not fun), explains why clean is both subjective AND objective, and makes a compelling case for being a soft services person in a hard services world. Plus, the team tackles AI's role in facilities—from tracking occupancy to writing better surveys that people might actually fill out. Because let's be honest, nobody wants another open complaint box.

Don't Miss These Key Moments:

  • How poor data management creates cascading problems across hard and soft services
  • The art of communicating with everyone from the C-suite to the custodial crew
  • Making the case for prioritizing conference room AV upgrades with usage data
  • Why Dave wipes down the sink every single time (and why you should too)

Stop fighting fires and start managing the heat.

]]> full 5 false When your irrigation system turns an athletic field into a mud pit, your janitorial team becomes collateral damage. In this episode of Facilities Unfiltered, hosts Josh Lowe and Nic Guedenet sit down with Dave Scroggins, a 15-year facilities veteran who manages 250,000 square feet across two San Francisco Bay Area sites for Cushman and Wakefield. Dave shares war stories about chasing leaks with 20-year-old as-builts (spoiler: it's not fun), explains why clean is both subjective AND objective, and makes a compelling case for being a soft services person in a hard services world. Plus, the team tackles AI's role in facilities—from tracking occupancy to writing better surveys that people might actually fill out. Because let's be honest, nobody wants another open complaint box.

Don't Miss These Key Moments:

  • How poor data management creates cascading problems across hard and soft services
  • The art of communicating with everyone from the C-suite to the custodial crew
  • Making the case for prioritizing conference room AV upgrades with usage data
  • Why Dave wipes down the sink every single time (and why you should too)

Stop fighting fires and start managing the heat.

]]> 00:18:23 <![CDATA[The Art of Guessing When the Chiller Dies]]> Tue, 03 Mar 2026 20:23:00 +0000 AkitaBox https://permalink.castos.com/podcast/69194/episode/2376668 https://home.akitabox.com/facilities-unfiltered-podcast/ Capital planning sounds great on paper—data-driven forecasts, estimated useful life calculations, and impressive spreadsheets for the board. But what happens when theory meets reality? In this episode, Josh and Nic dig into the messy truth behind facility condition assessments and why that 20-year EUL on your chiller might be more fiction than forecast.

From a 45-year-old furnace that literally caught fire during operations to a zombie chiller that finally died the day after the budget was spent elsewhere, they share real-world horror stories that illustrate why blind faith in estimated useful life can backfire spectacularly. They explore why older equipment was often over-engineered to last forever (and still running in some cases), while newer systems are precisely engineered to the point of being almost under-engineered.

The takeaway? Capital forecasting isn't about predicting the future—it's about being prepared for the inevitable. You can't control when that chiller dies, but you can control whether you're surprised by it.

Stop fighting fires and start managing the heat.

Facilities Unfiltered is sponsored by AkitaBox.

Chapters

  • (00:00:00) - Facilities Unfiltered: When Will a Chiller Die?
  • (00:06:32) - Uplead Life Cycle Certification
  • (00:09:28) - Common Cost-benefit calculations in capital planning
  • (00:14:03) - Capital Forecasting: The Process
]]> full 4 false Capital planning sounds great on paper—data-driven forecasts, estimated useful life calculations, and impressive spreadsheets for the board. But what happens when theory meets reality? In this episode, Josh and Nic dig into the messy truth behind facility condition assessments and why that 20-year EUL on your chiller might be more fiction than forecast.

From a 45-year-old furnace that literally caught fire during operations to a zombie chiller that finally died the day after the budget was spent elsewhere, they share real-world horror stories that illustrate why blind faith in estimated useful life can backfire spectacularly. They explore why older equipment was often over-engineered to last forever (and still running in some cases), while newer systems are precisely engineered to the point of being almost under-engineered.

The takeaway? Capital forecasting isn't about predicting the future—it's about being prepared for the inevitable. You can't control when that chiller dies, but you can control whether you're surprised by it.

Stop fighting fires and start managing the heat.

Facilities Unfiltered is sponsored by AkitaBox.

]]> 00:15:50 <![CDATA[Run-to-Fail -- Oversight or Strategy?]]> Wed, 25 Feb 2026 18:32:06 +0000 AkitaBox https://permalink.castos.com/podcast/69194/episode/2373708 https://home.akitabox.com/facilities-unfiltered-podcast/ Run to Fail: Oversight or Strategy?


Is Run-to-fail a failure of planning or a smart, resource-driven choice? Nic and Josh debate the controversial practice of letting equipment run until it breaks, tackling how to strike the right balance by focusing on asset criticality, staffing realities, and the power of data. 

]]> full 3 false Run to Fail: Oversight or Strategy?


Is Run-to-fail a failure of planning or a smart, resource-driven choice? Nic and Josh debate the controversial practice of letting equipment run until it breaks, tackling how to strike the right balance by focusing on asset criticality, staffing realities, and the power of data. 

]]> 00:13:22 <![CDATA[The Value Engineering Hangover]]> Tue, 17 Feb 2026 20:36:00 +0000 AkitaBox https://permalink.castos.com/podcast/69194/episode/2372975 https://home.akitabox.com/facilities-unfiltered-podcast/ Why 'Value Engineering' is Creating Your Future Maintenance Nightmare

In this episode, we dive into the dirty secret of value engineering—how cutting corners in capital expenditure creates future operational debt—and why facility managers are constantly left holding the work orders. More importantly, we outline the FM's Survival Guide to fighting back: how to demand a seat at the table, calculate the true total cost of ownership, build your own specifications playbook, and weaponize your maintenance data to prevent maintenance nightmares before they're ever installed.

Chapters

  • (00:00:06) - Unfiltered: The Built Reality Podcast
  • (00:00:31) - The VE Hangover...
  • (00:08:26) - Teak
]]> full 2 false Why 'Value Engineering' is Creating Your Future Maintenance Nightmare

In this episode, we dive into the dirty secret of value engineering—how cutting corners in capital expenditure creates future operational debt—and why facility managers are constantly left holding the work orders. More importantly, we outline the FM's Survival Guide to fighting back: how to demand a seat at the table, calculate the true total cost of ownership, build your own specifications playbook, and weaponize your maintenance data to prevent maintenance nightmares before they're ever installed.

]]> 00:14:01 <![CDATA[Welcome to Facilities Unfiltered]]> Tue, 10 Feb 2026 20:23:00 +0000 AkitaBox https://permalink.castos.com/podcast/69194/episode/2372896 https://home.akitabox.com/facilities-unfiltered-podcast/ Meet Facilities Unfiltered - The Built Reality

What does "best practice" facility management actually look like—and why does it rarely match reality? In this podcast, meet Josh Lowe and Nic Guedenet as they introduce the theme of this podcast. We'll give you a hint: there's a gap between the FM lifecycle as it's taught in textbooks and how it actually plays out on the ground.

Join us for candid discussions about how emerging technologies and smarter practices can help bridge the gap between FM theory and FM reality—before it's too late.

]]> full 1 false Meet Facilities Unfiltered - The Built Reality

What does "best practice" facility management actually look like—and why does it rarely match reality? In this podcast, meet Josh Lowe and Nic Guedenet as they introduce the theme of this podcast. We'll give you a hint: there's a gap between the FM lifecycle as it's taught in textbooks and how it actually plays out on the ground.

Join us for candid discussions about how emerging technologies and smarter practices can help bridge the gap between FM theory and FM reality—before it's too late.

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