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All of the talks from KA Connect 2025 are now available.
For folks who are new to our community, KA Connect is our annual knowledge and learning management conference for the AEC industry.
We had a great time sharing knowledge, building connections, and getting smarter together as a community around the theme of "Unlocking the Promise of Knowledge Management with AI” in the fresh mountain air of Sundance, Utah.
Please feel free to share these talks with your friends and colleagues.
Enjoy!
We’re about ten weeks into the private beta for Synthesis LMS and the biggest lessons we’ve learned so far aren’t really about technology at all.
At first, there was a flurry of activity in the LMS. Firms jumped in, created content, uploaded videos, and built out their first courses. It was exciting to watch. But what happened next was just as important. Across both beta cohorts, people paused and said, “Oh, I see — if we really want to take advantage of this new technology, if we really want to maximize the opportunity here, it’s going to take more than just building content. We’re going to need to level up as learning organizations.”
And by that I don’t mean throwing away what firms have already been doing. Quite the opposite. These are some of the smartest firms in our community, and they’ve been investing in knowledge sharing and informal learning for years. They have lunch & learns, peer-to-peer mentoring, recorded talks from subject-matter experts, even entire libraries with hundreds of videos.
Those are strengths, and they’ve served firms well. But what we’re realizing together is this moment calls for something more. It’s not just about uploading content into a new tool. It’s about taking the next step, rising to the next level, and moving toward becoming modern AEC learning organizations.
That means going beyond volunteer-driven knowledge sharing into something more curated, something built around adult learning principles and intentional knowledge transfer. Because while serendipitous learning is valuable, firms are starting to recognize that it won’t be enough — not on its own — to prepare people for the challenges in front of them.
Read moreOn September 9th, Christopher Parsons joined Chris Shafer of Guardian and Nick Bower and Bryan Payne of Moody Nolan to explore how Moody Nolan integrates Synthesis and Guardian to foster a culture of continuous learning and excellence.
During the live session, Moody Nolan showcased how their commitment to education and training comes to life through innovative technology integration — empowering their team, elevating project quality, and driving consistent success.
They explored:
The Synthesis LMS
Using Guardian for real-time training in Revit
How Moody Nolan uses Synthesis and Guardian together
Enjoy!
I recently joined Josh Miles on the Bold Brand Show for an episode called The Secrets to Unlocking Your Firm’s Knowledge.
In our conversation, we explored how AEC firms can use knowledge strategy not just to organize information, but to win work, grow stronger, and future-proof their business. We talked about how smarter collaboration, better content, and emerging tools like AI are helping firms tackle real challenges today while building long-term advantage for tomorrow.
Here’s a guide to the conversation:
4:18 – What does knowledge management look like in an AEC firm?
9:21 – How KM solves the real problems AEC firms care about
11:54 – What every AEC firm should know about critical knowledge transfer
16:14 – How AI agents are becoming part of the AEC workforce
19:04 – How AEC firms know it’s time to invest in knowledge management
24:00 – What AEC firms should expect when implementing a Synthesis intranet
26:56 – Why intranet projects in AEC are really about change management
32:27 – Do AEC firms still need to organize information in the AI era?
47:30 – Why video is supercharging knowledge management in AEC firms
52:41 – Why AEC firms “built to sell” are just better firms—even if you never sell
I hope you enjoy it!
Best,
Chris
📺 YouTube
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In my view, Katie Robinson, Chief Marketing Officer at LS3P, has built one of the most inspiring knowledge management programs in the AEC industry. What began as a creative solution to gather project data for proposals over a decade ago has grown into a firmwide practice where knowledge management truly is everybody’s job.
Today, Katie leads a small but mighty KM team—while also orchestrating the contributions of over 120 LS3P employees who capture and share project data as part of the firm’s Data Manager program. It’s a remarkable model for scaling KM beyond a single department.
In this episode of Welcome to KM 3.0, Katie shares how LS3P’s Data Manager program empowers emerging professionals to make project data collection both sustainable and developmental, giving them mentorship opportunities while providing the firm with reliable information.
She also describes how Expert Hours—casual, live, recorded conversations with subject-matter experts—have become a powerful way to transform everyday storytelling into searchable knowledge that fuels marketing, mentorship, and practice alike.
Along the way, we explore how LS3P is driving business value with AI, preparing to fold learning and development into their KM program, and experimenting with innovative new ways to capture and expand project data. Katie’s story is full of practical wisdom on how to start small, solve real problems, and build momentum for KM in AEC.
I hope you enjoy this conversation as much as I did.
Best,
Chris
Lately, I’ve been thinking a lot about the relationship between AI and firmwide knowledge—not just how AEC firms use knowledge to power AI, but how AI is pushing them to care for their knowledge more intentionally.
When employees use AI-powered tools like Synthesis AI Search to ask questions, they’re finding useful answers from knowledge distributed across content silos and content types, including video. But these benefits are also revealing something else: the quality of those answers depends entirely on the quality of the content behind them.
Outdated content leads to outdated answers. Gaps in documentation mean missed opportunities. Conflicting versions create confusion.
As a response, AEC firms are becoming much more attuned to the importance of maintaining high-quality, up-to-date knowledge across the business. They’re not just investing in AI. They’re investing in the knowledge powering the AI—acquiring it, updating it, and retiring it when it no longer serves the firm.
This raises an old but important question:
How do you keep a large intranet from decaying over time?
Instead of treating a new intranet launch as a one-time project, it may be more helpful to think of it like painting the Golden Gate Bridge. Crews begin at one end, make their way across, and by the time they reach the other side, it’s time to start again. The goal isn’t to finish, but to stay in motion—a continuous cycle of proactive care. And the earlier you can establish that rhythm, the healthier your knowledge base will remain.
That’s why I want to revisit a story from the KA community that feels even more relevant today than when it was first shared at KA Connect back in 2019. It’s the story of how AKF Group, at the time a 500-person multidisciplinary engineering firm with nine offices in the U.S. and two in Mexico, built a simple but powerful process for keeping their knowledge fresh—and how that process became the foundation for what we now call Essential Content Reviews.
You can read more about the Essential Content Review Framework on our website, under Intranet Best Practices. But what I want to share here is the origin story—how one firm, led by a thoughtful and practical knowledge manager named Shannon Kaplan, created a rhythm of content care that’s still shaping how our community maintains knowledge today.
Read more
Every day, on every project, lessons are happening inside AEC firms. But without the right infrastructure, those insights often remain tucked away in meeting notes or siloed with project teams—making it likely that future teams will repeat the same mistakes on their projects.
It doesn’t have to be this way. With the right infrastructure in place, AEC firms can learn faster than one project at a time and turn individual insights into organizational knowledge.
At Affiliated Engineers, Inc. (AEI), Company Wide Teams (CWTs) provide that infrastructure. For more than 25 years, these peer-led, cross-office teams have served as the scaffolding for firmwide learning, continuous improvement, and leadership development. The idea is simple but powerful: Don’t just share lessons, learn from them—and not just as a project team, as an organization.
The structure is clear and repeatable. Project lessons are identified and prioritized during monthly CWT meetings. From there, lessons are shared across the firm through a variety of lightweight formats: curated presentations, short-form write-ups, and open technical forums. When a lesson points to a deeper need, it’s operationalized—transformed into templates, toolkits, or shared guidelines—improving how the whole firm works.
Of course, none of that happens without trust. AEI has also invested deeply in building a culture where people feel safe naming their mistakes, confident their insights will help others grow.
What follows is a look at one of the most durable and dynamic knowledge-sharing programs in the AEC industry—what it looks like in action, and what other firms can learn from it.
Read moreYears ago, Corey Squire told me he believed that knowledge management was the secret to unlocking sustainability in architectural practice. At the time, that insight struck me as bold and prescient. Now, after watching Corey apply that philosophy across his roles at Lake Flato, through his consulting work, and most recently as Director of Sustainability at Bora Architecture & Interiors, I believe it’s something much more: a model.
In this episode, Corey walks us through how Bora is transforming sustainability from a siloed department into a shared operating system—powered by a thoughtful culture, a living knowledge base, and now, AI Search. He shares how their Synthesis intranet (Chaco) helps capture institutional knowledge from experts and make it accessible to the entire firm, freeing up time for deeper innovation and mentorship. We talk about the importance of pairing sustainable knowledge with a supportive culture, and the flywheel effect that happens when you give people not just facts, but context and clarity about why design choices matter.
Corey’s insights are grounded, generous, and deeply practical—shaped by his own experience building firmwide programs, writing the AIA Framework for Design Excellence, and publishing People, Planet, Design, a book that blends design philosophy, actionable strategies, and an entire chapter on knowledge management as the foundation for sustainable practice.
Whether you're trying to scale sustainability, upskill your teams, or figure out how AI fits into your firm’s future, this is a conversation full of takeaways you can borrow, adapt, and implement.
Enjoy!
Read moreJeanette Parker, Director of Knowledge Management
Wendy Gomoll, Manager, Knowledge Management
Sam Horton, Learning and Development Manager
In this webinar, you’ll see how Diamond Schmitt is strategically evolving their knowledge platform to capitalize on emerging capabilities in AI-powered search and learning management.
Read more
Over the past year, much of the conversation around AI and knowledge management in AEC has rightly focused on technology. Generative AI platforms, AI search offering, and emerging capabilities like AI agents are transforming how firms surface and share what they know.
We’ve also spent a lot of time exploring the benefits: how AI can support emerging professionals, elevate subject matter experts, improve onboarding, streamline marketing, and accelerate learning and development, to name a few.
But one deceptively simple question from the Q&A session at the end of our KM 3.0: Connecting People to Knowledge and Expertise in the Flow of Work webinar has stayed with me:
“How is the work of AEC knowledge management teams changing because of AI?”
In many ways, that question became the organizing impulse for this issue—because KM 3.0, this new era of AI-powered knowledge management, isn’t just about technology. KM 3.0 is also about people, process, and culture, and how AI is reshaping the work of knowledge management teams.
Over the past few months, I’ve spoken with some of the most thoughtful and forward-thinking KM leaders in our community—members of Knowledge Architecture’s Research Council and others leading mature programs across firms of all sizes.
And to be clear, not everyone doing this work has “knowledge” in their title. Across the AEC industry, we see knowledge management being led by a diverse mix of roles—knowledge managers, design technology leaders, operations directors, IT leaders, marketing and communications professionals, learning and development leads, innovation strategists, practice leaders, quality assurance directors, and even CEOs.
Regardless of their title or department, what they share is a deep investment in how knowledge flows across the firm and a commitment to making it more usable, accessible, and strategic.
What follows is a synthesis of 12 key trends—emergent patterns in how the smartest KM teams are evolving their work to thrive in this new era of AI-powered knowledge management.
We are excited to introduce Stock Icons 2.0, our latest update to the stock icon feature in Synthesis.
This new feature allows users to:
Filter Stock Icon Results by Style – Use the new style and weight filters to adjust the look of your stock icons for visually consistent results.
Set the Default Stock Icon Style – Set sitewide defaults in the branding settings to maintain a cohesive look across your intranet site.
Show or Hide Stock Icon Filter in the UI – Choose whether contributors see style filters in the stock icon interface—or hide them to preserve consistency.
Stock Icons 2.0 makes it easier to stay on brand and quickly find the icons you need.
We’ll release this update after the close of business on Friday, July 18th to all Knowledge Architecture clients.
Enjoy!
Read more
The idea behind Shive-Hattery’s Plus One program is disarmingly simple: when you’re heading into a client meeting, proposal interview, or project kickoff, don’t go alone. Bring someone with you. Someone earlier in their career. Someone who wouldn’t normally be in the room. Have them observe. Encourage them to ask questions. Invite them to lead a small part of the meeting.
That’s it.
But inside that simple idea lives something incredibly powerful.
Shive-Hattery is a 600-person architecture and engineering consulting firm based in Cedar Rapids, Iowa, with roots dating back to 1895.
Plus One is both a knowledge strategy and an employee engagement strategy. It helps the firm transfer wisdom from senior staff, build client continuity, and develop future leaders in real time. At the same time, it helps early-career professionals feel seen, valued, and included in the real work of the firm, years before they might otherwise have had the chance.
It’s one of those rare practices that builds both business resilience and human connection.
In fact, I’d argue that’s part of why it works so well. It sits at the intersection of what firms need and what people want. Firms need succession planning, leadership development, and client coverage. People want mentorship, growth, and visibility. Plus One delivers both, and it’s exactly the kind of habit that helps a firm become a learning organization.
And because it’s lightweight, repeatable, and aligned with the natural rhythms of project work, it scales easily.
Read moreI’m excited to share the second episode in our Welcome to KM 3.0 podcast series, a collaboration between Knowledge Architecture and the TRXL Podcast.
This week’s guest is Ellen Bensky, CEO of Turner Fleischer Architects.
We titled this episode “CEO as Knowledge Architect” because that’s exactly what Ellen models in practice. Over the past decade, she’s helped Turner Fleischer grow from 60 to 250 people—not just by adding headcount, but by connecting people, process, technology, and culture in ways that support smarter, more sustainable growth.
In short, she’s doing the work of knowledge management—or KM—but from the CEO’s chair.
Ellen shares how KM became a strategic priority at Turner Fleischer, how her team embedded it into roles and workflows, and why AI is now playing a central role in simplifying and scaling the firm’s institutional knowledge. From employee onboarding to digital practice, project management to culture building, she shows how KM, done well, can become both an operational advantage and a leadership philosophy.
It’s one of the clearest, most thoughtful conversations on modern KM in AEC that I’ve ever been part of and we’re so happy to share it with you.
Enjoy!
Over the past month, I’ve been researching how the role of the AEC knowledge manager is evolving in the age of AI. One theme has come up again and again in surveys and interviews: AI literacy is quickly becoming a core responsibility of KM teams. In many firms, knowledge managers are stepping into a new role as AI educators, guides, and shepherds.
They’re the ones helping colleagues understand the art of the possible. Teaching prompting techniques. Introducing good habits like verifying sources. Navigating the messy intersections of internal data, external tools, and firm-specific workflows.
But a question keeps tugging at me:
Do we need to elevate everyone to the same level of AI fluency? Or will the future of AI learning look more jagged, role-based, and use case specific?
Read more
Nine months ago we released Synthesis AI Search for AEC Firms to our client community. Since then, we’ve seen some remarkable things.
Firms are surfacing knowledge that was previously buried across intranets and databases. They’re connecting employees with internal experts more easily, helping marketing teams find project precedents and draft communication, and using AI Search to support digital design practices, scale expert knowledge, upskill emerging professionals, and make onboarding more effective.
Our clients are making significant improvements to how their firms work and learn.
And yet, alongside all this momentum, I’ve also heard a growing concern:
“I’m worried that our employees are going to accept whatever AI tells them at face value and run with it.”
This concern isn’t new. We’ve long tried to teach people to question what they read online, to check sources, to verify claims. But something about this moment—maybe it’s the polish, maybe it’s the speed, maybe it’s the aura of intelligence that clings to anything branded AI—feels different.
Which brings me to a word I didn’t learn until later in my career, but which now feels central to this moment: epistemology, and its practical counterpart, epistemic humility.
If you’ve never heard the word epistemology, you’re not alone. I didn’t encounter it until around 2017, when I met Larry Prusak, a mentor and pioneer in the knowledge management field.
Epistemology is the study of knowledge: how we know what we know, how knowledge is formed and validated, how it evolves or gets distorted over time. It’s a field that touches everything from philosophy to science to journalism, and increasingly, AI.
Larry introduced me to a related concept that’s stuck with me ever since: epistemic humility. The idea that we should be humble about what we know, cautious about what we claim, and curious enough to keep questioning even our most cherished assumptions as well as the assertions of others.
It’s one of those phrases that’s quietly shaped how I lead, how we build products at KA, and how I think about the future of knowledge work.
Read moreWe’re excited to announce a new limited podcast series, Welcome to KM 3.0, a partnership between Knowledge Architecture and Evan Troxel of the TRXL Podcast.
Knowledge Management has always evolved alongside technology and today, powered by AI, a new golden era of KM is emerging — KM 3.0.
In this series we’ll profile a range of firms—each with a distinct approach to knowledge management. From program structure to measurable impact, we’ll explore how AEC firms are using knowledge management to get smarter in an AI-driven world.
You’ll hear from a CEO, a marketing director, a technology leader, a sustainability expert, and a dedicated knowledge manager. Each will bring a different lens—showing us how knowledge leadership can emerge from different corners of an organization and take shape in distinct ways.
In every episode, we’ll aim to get to the heart of how AEC knowledge management functions in practice—what’s working, what’s changing, and what others can learn.
The series kicked off with a conversation between Christopher Parsons, our Founder and CEO, and Evan, where they talked about his journey into knowledge management, what knowledge management looks like in an AEC practice, how it’s evolved, and why AI is poised to reshape what is possible.
We hope you’ll join us as we explore.
In this episode of the TRXL Podcast, Christopher Parsons, Founder and CEO, Knowledge Architecture, joins host Evan Troxel to explore the evolution of knowledge management in AEC—from the early days of digitizing and capturing firm knowledge (KM 1.0), through the rise of collaboration and social intranets (KM 2.0), to today’s emerging era of AI-powered answers delivered in the flow of work (KM 3.0).
Christopher shares how leading AEC firms are preparing for this shift by operationalizing knowledge in practical, high-impact ways—such as upskilling emerging professionals, scaling expert knowledge, driving technology adoption, and improving onboarding effectiveness. These firms are beginning to unlock the full value of the knowledge they already have by leveraging AI-powered knowledge management approaches that make content more accessible, discoverable, and actionable across the firm.
Later in the episode, Christopher explains how this KM 3.0 transformation is made possible through new technologies like retrieval augmented generation (RAG), semantic search, domain-specific AI tuning, and intelligent search agents that know how to route queries to the right sources using tools and reasoning. But more importantly, he emphasizes that AI alone isn’t the solution—people, process, and culture, working alongside AI, are what truly unlock value.
This transition to KM 3.0 is helping AEC firms connect their people to the knowledge and expertise they need—right in the flow of work.
If you're leading innovation, knowledge management, or AI initiatives in your firm, or just trying to make your people smarter, this episode is for you.
▶ Watch or Listen:
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The TRXL podcast is a leading voice at the intersection of architecture and emerging technology, hosted by Evan Troxel. Each episode features thoughtful conversations with architects, technologists, and industry leaders who are shaping the future of the built environment. With a focus on innovation, practice, and the people behind the work, TRXL offers listeners an inside look at how architecture is evolving—one insight at a time.
In addition to the free weekly show, TRXL+ offers an extended experience with bonus content, early access, behind-the-scenes commentary for subscribers who want to go deeper, ad-free episodes, and the Leadership Edge newsletter. You can explore the full archive and learn more about TRXL+ at https://trxl.co.
If you didn’t have the good fortune of meeting Ed Friedrichs before his passing in 2021, here are a few high-level facts: Ed was a visionary architect and firm leader. He played a pivotal role in shaping Gensler into the global design practice it is today. He joined the firm in 1969, founded the Los Angeles office in 1976, and served as Gensler’s President and CEO from 1995 to 2003. Under his leadership, the firm grew significantly in scale, sophistication, and ambition—while also codifying many of the cultural principles that still define it.
But for me, Ed’s legacy began long before I launched Knowledge Architecture—before I even knew what knowledge management was.
I first met Ed in 2005 at a conference called Firm of the Future, hosted by ZweigWhite. The conference brought together forward-thinking leaders to explore where the AEC industry was headed in the next 10, 15, 20 years. It was a fantastic premise, and it launched me on the path I’ve been walking ever since.
That event introduced me to firms that were being intentional about how they managed knowledge. These firms were investing in research, building systems for innovation, sharing what they learned internally, and connecting people across offices and disciplines. No one at the conference was using the term “knowledge management”—at least not that I can recall—but that’s exactly what they were doing. They were trying to make better use of what they knew.
Ed was one of the speakers at that conference. I attended his talk, then stayed afterward to ask questions. I later found him at a meal and sat next to him, eager to learn more. He was generous with his time—patient, encouraging, and deeply thoughtful.
What I didn’t fully realize until recently—when I went back and reviewed the old conference program—is that Ed didn’t just speak at the event. He chaired and designed it. He was the one who brought those people together. He shaped the experience that set me on this path.
Looking back, it all makes sense. The connecting thread running through the entire conference—the idea that architects and engineers shouldn’t only design buildings and infrastructure, but should also design their firms to be smarter—was Ed’s idea. His point of view gave the event its energy, its distinctiveness, and its sense of possibility.
That conference was the moment I first began to see knowledge management as a tool you could use to design a better business.
Read moreFinding the right person with the right expertise at the right time is one of the most persistent challenges in AEC firms.
That’s why we built Advanced Employee Search—a powerful new AI search feature in our Synthesis intranet platform that helps employees find the experts they need, when they need them, whether they’re searching by role, skills, certifications, committees, or experience.
Advanced Employee Search combines structured employee data from integrations with AEC software like Deltek, Unanet, aec360, and OpenAsset, with unstructured employee data from intranet pages, documents, videos, and posts. The result: AI-powered answers that connect your team directly to the experts they need.
In this short video, you’ll see how Synthesis can answer questions like:
Who are our registered architects in California?
Who’s on the sustainability committee?
Who can help me plan a flexible wet lab?
Who is our mass timber expert?
Who can I ask about reclaimed structural steel?
You’ll also get a behind-the-scenes look at how Advanced Employee Search uses Agentic RAG (retrieval augmented generation with reasoning and tools), and a preview of the next Synthesis AI Search feature we’re working on: Advanced Project Search.
If your firm is curious about how Synthesis can support knowledge sharing, expertise discovery, and intranet search, we’d love to show you how it works.
Shepley Bulfinch is a 200-person architecture, planning, and interior design firm with offices in Boston, Hartford, Houston, and Phoenix. Like every AEC firm, they face the same universal challenge:
How do you give new hires the right amount of information—without overwhelming them or leaving them stranded?
The tension is familiar. Too much information, too early, and it becomes a blur. Too little, too late, and new employees are left guessing. But Shepley has found a way to strike a better balance—one that goes beyond orientation and delivers support when it’s needed most.
In this 8-minute clip from my “KM 3.0” webinar, I share how Shepley is reimagining onboarding not as a one-time event, but as an ongoing knowledge experience.
They’ve built a rich onboarding ecosystem within Finch, their Synthesis intranet, including:
An “I’m New Here” page that puts all key resources in one place: office groups, firm standards, tech setup, and more.
A Benefits Guide and Shepley Standards manual that go beyond policies to explain the thinking and philosophy behind how the firm works.
A Ropes Course Guide—a seven-part series of discussion prompts introducing new hires to Shepley’s approach to design, project phases, client engagement, and team roles.
A Working Groups directory so employees can join voluntary communities around Revit, interiors, sustainability, and more.
A course catalog for BirdFeeder, their internal learning and development program covering project management, technical skills, professional development, and more.
All of this forms a powerful foundation. But Shepley didn’t stop there.
They’ve paired great onboarding content with intelligent AI Search—so employees can find the right answers not just in week one, but in week twenty or week fifty.
Need to know if gym memberships are covered? Just ask.
Wondering about the work-from-home policy after a life change? Ask.
First time submitting expenses? Ask.
Trying to understand how project assignments work—or who decides them? Ask.
Even more impressive, AI Search surfaces precise responses, citing the source and often pointing directly to relevant documents, videos, or even the person responsible. For example:
“Who’s on the staffing responsible body?” returns the current roster, filtered from the employee directory.
“Who knows Affinity Photo in Houston?” surfaces a colleague you can reach out to directly for help.
This is where KM 3.0 shines.
Shepley isn’t just onboarding people more thoughtfully—they’re extending the learning journey into daily work. They’ve built a system where the right information (or the right person) is always within reach, long after the orientation ends.
It’s onboarding designed not just for day one, but for year one.
Turner Fleischer is a 250-person architecture firm based in Toronto with a long-standing commitment to design technology. Over the past decade, they’ve not only adopted new tools—they’ve built them, structured a robust DT department, and established themselves as leaders in technical innovation.
But as anyone in change management knows, building great tools is one thing. Getting people across the firm to actually use them—that’s the real challenge.
Turner Fleischer’s approach to driving tech adoption is layered, thoughtful, and grounded in a progression from KM 1.0 to KM 2.0 and now KM 3.0.
In this 8-minute clip from my “KM 3.0” webinar, I walk through how they’ve built a solid knowledge foundation and then used AI to scale learning and support at the moment of need.
They’ve created:
A deep, well-structured intranet (named Newton) with curated documentation, from Revit standards to computational design guides—complete with subject matter experts listed on every page.
A series of monthly Tech Talks that spotlight emerging tools, trends, and internal innovations—recorded and posted to the intranet so learning becomes part of the firm’s knowledge fabric.
A microlearning video library called eTutor, with over 370 short videos (most under 10 minutes), each laser-focused on specific tools or tasks—from Bluebeam to Autodesk Construction Cloud.
A formal L&D program called TF Academy offering cohort-based courses to deepen team expertise.
This multi-pronged strategy meets people where they are—whether they want to skim a summary, attend a course, or watch a short video before jumping into a task.
But what makes this KM 3.0 is how it all comes together at the moment of need.
Let’s say you’re new to the firm and keep hearing about “BXP”—but aren’t quite sure what it means. Rather than asking around, you simply search “What is BXP?” and instantly get a clear answer: it’s a BIM Execution Plan, here’s how we use it at Turner Fleischer, and if you want to learn more, go talk to Brent Mauti.
Or maybe you need to create a door schedule. A quick search pulls up a structured page plus a relevant microlearning video from the eTutor library.
Need to request a laser scan? Search the question, get the steps, and click directly to the form.
Curious who knows Grasshopper or how to operate the laser cutter? Search the tool name and Synthesis points you to the right people instantly.
This is the heart of KM 3.0.
Turner Fleischer isn’t just educating their team—they’re delivering knowledge in the flow of work. They’ve moved from “just in case” training to “just in time” answers. From centralized expertise to distributed access.
The result? A more empowered, more confident, and more capable team—ready to adopt and apply new technology when it matters most.
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