From 1888’s simple world of stone and wood to today’s stadiums, hospitals, schools, and high-rise skylines, every building carries a different set of operational realities. Josh and Nic explore how decades of evolving construction methods, added technologies, climate conditions, and occupancy needs have made facility management anything but one-size-fits-all.

They dig into why condition assessments, asset inventories, maintenance priorities, and data standards must adapt to the building and its purpose—from infection-control risks in healthcare to learning environments in schools. The conversation also looks at the growing need for practical, field-friendly standards—and a better way to translate between them—so facility teams can turn institutional knowledge into accessible, actionable guidance.

• (00:00:07) - Welcome Back and a 1888 Building Book
• (00:00:45) - A Full Circle Moment with Historic Architecture
• (00:02:49) - Stadiums, Skylines, and Varied Build Types
• (00:04:10) - The Challenge of Managing Diverse Building Ages
• (00:05:30) - Why Standards Are So Hard to Define
• (00:07:33) - Stadium Asset Naming and Specialization
• (00:08:29) - Environmental Factors and Local Variance
• (00:11:22) - Hyperlocal Issues in Climate and Construction
• (00:13:52) - Use Types and Industry-Specific Standards
• (00:15:10) - ARMS Standard and Healthcare Example
• (00:17:43) - Education, Lighting, and Color Psychology
• (00:20:03) - The Yellow Building Story
• (00:21:21) - Need for Consistency Across Standards
• (00:23:31) - A Rosetta Stone for Standards Translation
• (00:25:27) - AI's Potential Role in Unifying Standards
• (00:26:46) - Building Standards Into Plans and Practice
• (00:28:59) - Keeping Standards Simple and Field-Friendly

Josh and Nic welcome back Brian Carlin of Integrated Facilities Solutions to unpack why “smart data pilots” are the fastest way to turn messy, inconsistent asset inventories into something teams can actually trust, use, and scale.

They dig into what makes facility data reliable (unique identifiers, location hierarchy, and maintenance history that’s truly asset-specific), why “more fields” can create noise instead of insight, and how to structure a pilot so it earns real acceptance from executives, FMs, boots-on-the-ground techs, and even your software provider. You’ll also hear practical advice on avoiding common traps—scope creep, rushed timelines, and getting stuck in never-ending pilot mode—so your data effort doesn’t end up on a shelf, but becomes a repeatable process where every dollar spent is a decision you can defend.

FM software has been around a lot longer than most of us think—nearly 60 years—starting with preventive maintenance schedules on mainframes and punch cards. In this episode, Josh and Nic trace the surprising evolution from early CMMS roots through CAFM, EAM, and IWMS, and into today’s world of BIM, digital twins, IoT, and AI. Along the way, they unpack why the industry’s “alphabet soup” can be both genuinely useful and, at times, pure marketing noise—and why many tools still feel like work-order spreadsheets with extras bolted on.

They dig into why CMMS implementations so often stall out (people/process, change management, and unrealistic expectations like “inventory management will just happen”), how bad asset records create PM backlogs and misleading performance metrics, and why a visual, contextual source of truth can change the game. If you’re wrestling with software fatigue, debating best-in-class integrations vs. “all-in-one,” or wondering what AI will actually do with messy facilities data, this conversation will hit home.

• (00:00:07) - Facilities Unfiltered: How Long Has FM Software Been Around
• (00:08:17) - Work Order Management: Overlooking the Issues
• (00:12:13) - Inventory Management Systems
• (00:16:40) - Familiar Issues with CMMS
• (00:22:34) - Rallying Around Data-driven Facilities

Facility Condition Assessments (FCAs) can be the difference between clear, fact-based capital planning—and endless “political harangues” over who gets what. In Episode 27, Josh and Nic sit down with architect and FCA/PCA specialist Kyle Christiansen (and fellow ASTM committee member) to unpack what actually makes an assessment reliable, defensible, and technically accurate—and when it makes sense to keep FCA work in-house versus bringing in outside experts.

They dig into the unglamorous but mission-critical side of the work: data hygiene. Kyle explains why portfolios get buried in duplication errors, mismatched inventories, and “assessor’s best guess” assumptions—and why the future looks a lot more like a “living FCA,” supported by dedicated data ownership, smarter document transfer, and real interviews with the people who know the building history. Along the way, the conversation tackles consistency across assessors, the role of pilot projects before scaling to hundreds of buildings, and how emerging standards can help owners compare scope, pricing, and deliverables without being misled by apples-to-oranges proposals—all through a memorable “buildings as healthcare” analogy that reframes how to think about preventative maintenance and long-term risk.

• (00:00:23) - Facility Condition Insights with Kyle Christiansen
• (00:01:22) - In-House vs Outsourcing: Capital Planning
• (00:03:55) - Facility and Data Management
• (00:10:27) - MR: Prepping the Client for Standards
• (00:18:45) - Healthcare in the Nursing Home
• (00:21:19) - Building Safety in the Healthcare Industry

Why do so many Facility Condition Assessments (FCAs) miss the mark—before anyone even steps on site? In Episode 26 of Facilities Unfiltered, Josh and Nic sit down with Shay Rankhorn (Partner at Facility Diagnostics, former healthcare facilities leader, and 2022 ASHE President) to unpack the most common failure point: unclear expectations. The conversation starts where great FCAs actually begin—asking “What are you trying to do with the information?”—and follows the ripple effects that show up later as mismatched deliverables, wildly different bids, and owners forced to hire a second firm to get what they thought they were buying.

From writing better RFPs (and using RFIs and shared Q&A to get true apples-to-apples comparisons) to navigating budget realities without gutting the outcome, Shay breaks down the practical choices that shape results: Uniformat vs. internal naming structures, PCA vs. FCA vs. partial scopes, and the critical decision between a static PDF “snapshot” and a dynamic, software-driven tool that stays live and supports real what-if planning. Along the way, the team gets real about why organizations keep rolling the dice until something breaks—and how better data, FCI-based storytelling, and risk framing can finally move facilities from “boy who cried wolf” to trusted advisor in the boardroom.

• (00:00:00) - The #1 reason facility condition assessments fail
• (00:01:04) - Questions for Facility Condition Assessment FCA
• (00:05:02) - The FCA RFP
• (00:13:01) - PCA vs FCA: What's the Difference?
• (00:18:56) - Facilities Financing: The Risk of Infrastructure
• (00:23:47) - Do Facilities Nightmares Get More Attention Than Business Nightmares?
• (00:25:04) - Getting Your First FCA
• (00:27:20) - What is the Worst Disconnect You've Seen?

In celebration of our 25th episode, we're going back to one of our most popular episodes "The Value Engineering Hangover."

We'll be back with a new episode next week!

• (00:00:00) - The VE Hangover
• (00:00:33) - Facilities Unfiltered
• (00:01:27) - Facility Management: The Need for Value Engineering
• (00:10:53) - The Value of a Design Specs
• (00:13:40) - A Moment of Silence

Facilities teams often lose budget battles because the message is too complicated. In Episode 24 of Facilities Unfiltered, Josh and Nic make the case for keeping facility condition assessments and capital planning “first-grade simple,” especially when the audience is a board, a CFO, or the general public who just wants to know: What’s broken, what’s at risk, and what do we need to fund?

They unpack how deep classification standards (Uniformat, CSI, D-levels) and overly technical language can create misclassification, long training ramps, and reports that aren’t truly usable—then explore how AI can flip the script by handling the filing, translating complexity into plain language, and helping stakeholders ask better questions without wading through 300-page documents. Along the way, they touch on why system identification matters more than perfect labels, how prioritization and risk scoring can be communicated without a seminar, and why metrics like FCI vs. “facility condition score” (FCS) are a step toward clarity and trust.

• (00:08:32) - On the Classification of Facility Data
• (00:16:34) - Keep it First-Grade
• (00:23:08) - On the Future of Auto Classification

Josh and Nic tackle the elephant in the room for both building owners and AEC firms: the traditional FCA deliverable report is eating up engineering hours, killing profitability, and producing a product that goes stale the moment it's delivered.

This episode isn't about dismissing the value of expert assessments — far from it. It's about questioning where those expensive engineering hours should actually go. Should your architect or engineer spend a third of the project timeline copying photos into Word documents and writing methodology sections? Or should they be sitting across from you as a strategy consultant, drilling into live data, running what-if scenarios, and helping you make real capital planning decisions together? Josh and Nic explore the shift from static deliverables to dynamic, interactive data — and why it's a win for owners who want actionable insights and AEC firms who want to stop watching their profits disappear into report assembly.

Whether you're an owner wondering if there's a better way to consume assessment data, or a service provider tired of the report-building slog, this conversation lays out the case for reimagining how we deliver, receive, and actually use facility data.

• (00:00:50) - The Print Report vs. PDF Report
• (00:07:01) - A huge amount of time is spent on reports
• (00:14:30) - AEC Technology: Digital Reports vs. Print Reports