Construction Technology Podcast

This episode features Chris Reeder, Project Planning Technology Manager at Brasfield & Gorrie, on what construction software providers need to understand before building for the industry.

The conversation covers data standardization, planning technology, technology adoption, and the tradeoffs between building software in-house versus working with vendors. Chris shares how contractors evaluate new tools, where AI and custom development fit, and why change management is often harder than the technology itself.

The episode also explores how early customers shape construction applications, why data governance matters for adoption, and how apprenticeship-style learning in construction affects the way teams use new technology.

Takeaways

Data standardization is foundational to better construction technology

Contractors need to balance in-house development with vendor partnerships

Early customers can materially shape product direction

Data governance is a major driver of adoption

AI tools may change how construction teams access and apply information

Change management is often the real bottleneck

Chapters

00:00 Balancing Early Adoption and Piloting Solutions

32:02 Data Governance and Adoption

47:18 AI Tools and Information Accessibility

The conversation covers the topics of construction technology, change orders, pre-construction processes, and the impact of technology on the construction industry. It also delves into the challenges of design rework, the role of architects, and the integration of construction management software. The conversation delves into the unique value proposition of ClearStory in the construction industry, focusing on change orders, subcontractor engagement, and the impact of AI on change order workflows. It also highlights the challenges of evangelizing a new tool in an established industry.

Takeaways

• Change orders are a critical aspect of the construction industry, and technology plays a significant role in streamlining the change order process.
• The pre-construction phase is evolving, with a focus on incremental GMPs and the release of smaller portions of the job under contract.
• Architectural firms are adapting to changes in project design and are increasingly involved in construction administration to maintain revenue streams.
• The conversation highlights the importance of collaboration and network architecture in construction management software, as well as the need for privacy in project financials.
• The impact of technology on reducing rework and improving decision-making in construction projects is a key area of focus for the industry. Subcontractor engagement
• Change order workflows
• Challenges of evangelizing new tools

Chapters

• 00:00 Integration of ClearStory with Procore and Construction Management Software
• 30:21 Building a Network and Addressing Trade-Specific Challenges
• 36:30 Impact of AI on Change Order Process and Decision-Making
• 48:33 Evangelism and Unique Perspective on Change Orders

The conversation covers a range of topics related to AI in pre-construction, challenges with scope generation, data quality and standardization, and workflow integration and efficiency. The discussion delves into the Consigli connection, estimator training, internal system development, takeoff solutions, historical cost database, and the future of takeoff and workflow efficiency. Additionally, the conversation explores centralized information and workflow improvement, as well as AI in pre-construction and risk trade-offs. The conversation delves into the impact of AI and technology in construction, exploring the use of advanced tools and the challenges of building vs buying software solutions. It also touches on the evolving landscape of construction technology and the considerations involved in software development.

Takeaways

• AI in pre-construction
• Challenges with scope generation
• Data quality and standardization
• Workflow integration and efficiency AI and technology in construction
• Building vs buying software

Chapters

• 00:00 AI in Pre-Construction and Risk Trade-Offs

The conversation covers the company background, targeting midsize contractors, understanding their needs, challenges with existing tools, positioning against competitors, sales and customer adoption, and technical challenges and overcoming obstacles. The key takeaways include the unique needs of midsize contractors and the importance of ease of use and collaboration. The conversation delves into the customer-centric approach of Constructable, highlighting the importance of addressing customer needs and providing seamless transitions. It also explores the product differentiation and value proposition, emphasizing the significance of offering a unique and compelling product. Additionally, the discussion touches on market positioning and the future outlook for Constructable, shedding light on the company's growth strategy and market differentiation.

Takeaways

• Midsize contractors have unique needs
• Ease of use and collaboration are key needs for midsize contractors Customer focus
• Product differentiation

Chapters

• 00:00 Introduction and Company Background
• 11:03 Positioning Against Competitors
• 19:27 Sales and Customer Adoption
• 32:00 Technical Challenges and Overcoming Obstacles
• 51:28 Market Positioning and Future Outlook

Episode summary

In this episode we sit down with Josh to talk about why construction technology is so hard to get adopted on real projects, and what changed for him when he moved from selling a product to delivering value inside contractors' operations. We get into outcome-based pricing, the labor problem it addresses, and why a clear scope of work is worth more than most teams treat it as. Josh walks through how risk transfer varies across general contractors, the difference between how estimators and project managers write scope, and where AI fits in construction today versus where it's heading.

Takeaways

• Construction technology usually fails on adoption, not capability. Getting a tool used on an active project is the hard part.
• Outcome-based pricing ties cost to delivered value, which makes it a fit for labor-driven problems.
• Risk transfer is not uniform across general contractors. Each one draws the line in a different place.
• A clear scope of work is one of the highest-leverage documents on a project, and most scope gaps trace back to it.
• AI adoption in construction is constrained by process and project complexity, not just the state of the technology.

Chapters

• 00:00 Introduction and Guest Introductions
• 07:05 Implementation and Adoption of Construction Technology
• 13:29 Outcome-Based Pricing and Labor Solutions
• 26:10 Scope Gaps and Outcome-Based Pricing
• 33:06 The Spectrum of Risk Transfer in Construction
• 38:26 Estimator vs. Project Manager in Scope Writing
• 43:34 The Role of AI in Construction
• 49:22 The Future of AI in Construction
• 57:54 Challenges in AI Adoption

Takeaways

• Challenges with adoption of construction technology
• Outcome-based pricing and labor solutions Risk transfer varies among GCs
• Scope clarity is crucial for value
• AI adoption presents challenges

Chapters

• 00:00 Introduction and Guest Introductions
• 07:05 Implementation and Adoption of Construction Technology
• 13:29 Outcome-Based Pricing and Labor Solutions
• 26:10 Scope Gaps and Outcome-Based Pricing
• 33:06 The Spectrum of Risk Transfer in Construction
• 38:26 Estimator vs. Project Manager in Scope Writing
• 43:34 The Role of AI in Construction
• 49:22 The Future of AI in Construction
• 57:54 Challenges in AI Adoption

The conversation delves into the challenges and dynamics of the AEC software industry, the role of venture capital in the AEC space, AI-enabled architectural projects, the future prospects of BIM 2.0 tools, expanding business scope in AEC, the shift in general contractor dynamics, and the impact of people and processes in construction.

Takeaways

• AEC software industry faces challenges in revenue growth and fee structures
• Venture capital allocation in the AEC space requires consideration of growth potential and value creation
• AI-enabled architectural projects have venture scale potential and back-end software integration
• BIM 2.0 tools need to focus on integration with contractors and venture scale value creation
• Expanding business scope in AEC involves equity value capture and risk aversion
• Shift in general contractor dynamics includes concentration of revenue growth and ancillary product businesses
• The impact of people and processes is significant in construction, influencing firm reputation and regional and national contractor dynamics

Chapters

• 00:00 The AEC Software Industry
• 09:09 AI-Enabled Architectural Projects
• 14:53 BIM 2.0 Tools and Future Prospects
• 19:56 Expanding Business Scope in AEC
• 27:08 Shift in General Contractor Dynamics
• 34:09 Impact of People and Processes in Construction

This episode covers Nomic's pivot to verticalized AI for construction, and the broader question of how to build useful AI products in AEC. The conversation works through two paths: training custom models, or harnessing foundational ones. We get into Rich Sutton's Bitter Lesson, why the harness around the model does most of the heavy lifting in construction use cases, how to benchmark the full harness, the change management work that determines whether a rollout sticks, and why outcome-based billing becomes more plausible as these systems embed deeper into preconstruction workflows.

Takeaways

• Domain-specific harnesses drive most of the performance gains in verticalized AI
• Benchmarks should measure the full harness, including retrieval, prompting, and tool use
• Change management is typically the binding constraint on AI adoption in construction
• Outcome-based pricing becomes viable once AI owns the deliverable end to end
• The biggest win for estimators and PMs is reduced mental load on repetitive review work

Chapters

• 00:00 Introduction and pivot to AEC
• 04:58 Debate on LLMs in construction
• 10:50 Building custom models
• 15:57 Harnessing foundational models
• 21:01 Rich Sutton's Bitter Lesson
• 26:01 Scaling compute and harnesses
• 31:56 Why the harness matters
• 41:50 Efficiency and time savings
• 56:28 Impact on professional workflows

The conversation covers the challenges faced by the construction industry and the impact of technology on addressing these challenges. It delves into the inspiration and backstory of Trayd, the complexities of construction back offices, the value proposition of Trayd, and the impact of automation on back office operations. Additionally, it explores the complexity of construction payroll, the value for mid-market contractors, the integration with project management software, the transition from paper timecards to digital, the role of strategic investors and Y Combinator, misunderstandings and critiques, and the issue of predatory lending in construction. Finally, it discusses the impact of financial tools on workers and the upstream benefits for general contractors and owners in construction projects.

Takeaways

• Construction industry challenges
• Impact of technology on construction industry Efficiency in payroll processing
• Impact of technology on construction industry

Chapters

• 00:00 Introduction and Series A Congratulations
• 05:00 Impact on Back Office Operations
• 10:31 Multi-Jurisdictional Payroll Complexity
• 17:05 YC's Approach and Construction Industry
• 24:24 Transition to Digital Payroll
• 31:17 Complexity of Construction Industry
• 38:09 Trade Agnostic Approach
• 44:37 Exciting Developments in Construction

The conversation covers a range of topics including the introduction of AEC Foundry, foundational models, industry trends, quality assessment, transparency in AI workflows, defining success in QAQC, benchmarking and training models, ROI and impact of AI technologies, limitless intelligence, and AI adoption for small, medium, and large firms.

Takeaways

• AI adoption in the AEC industry is driven by efficiency gains and outcome-based pricing is seen as the future of the industry.
• Small and medium firms can benefit from AI tools in a meaningful way, while large enterprises need to focus on making their data AI-readable and building foundational infrastructure.
• The impact of AI technologies on AEC firms will result in a transition period where firms can capitalize on efficiency gains before the industry evolves to outcome-based pricing. Challenges and opportunities in outcome-based pricing for AEC
• The need for benchmarking and value creation in AI companies

Chapters

• 00:00 Introducing AEC Foundry
• 07:13 Quality Assessment and Benchmarking
• 12:14 Accuracy and Bifurcation in Products and Services
• 18:01 Benchmarking and Training Models
• 25:35 Limitless Intelligence and Structural Advantages
• 31:27 Outcome-Based Pricing in AEC
• 40:08 AI and Data in AEC Startups
• 46:16 Value of AI in AEC
• 52:09 AI Companies in AEC

The conversation primarily explores the concept of ontologies in construction technology, exploring the distinction between custom workflows and off-the-shelf solutions. It also addresses the challenges and considerations associated with ontologies, the scale of implementation by companies like Palantir, and the role of payment software in custom workflows. Additionally, it discusses the decision-making process for choosing between off-the-shelf and custom solutions, as well as the potential for custom workflows to drive revenue generation in the construction industry. We also talk about AI implementation, and the value of onboarding and education. It explores the complexity of construction projects and the role of last-mile implementation, customization, and revenue drivers in construction tech solutions. Additionally, it discusses the value creation and monetization challenges in construction tech, as well as the impact of AI on staffing and project management. The importance of employee training and education, as well as the role of pre-construction as a revenue team, are also highlighted.

Takeaways

• Ontologies in construction technology
• Custom workflows and off-the-shelf solutions Construction tech revenue drivers
• Challenges of AI implementation in construction
• Value of onboarding and education in construction

Chapters

• 00:00 Introduction and Ontologies in Construction
• 05:56 Ontology vs. ERP Implementation
• 11:56 Challenges and Considerations with Ontologies
• 18:04 Payment Software and Custom Workflows
• 23:48 Custom Workflows for Revenue Generation
• 29:14 Consultants and Custom Software in Construction
• 36:04 Efficiency and Staffing in Construction Projects
• 43:59 Tying Construction Tech to Revenue Drivers