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AI Readiness for Construction

September 22 - 23, 2026 Online :: Central Time

Construction organizations are rapidly investing in artificial intelligence, yet many are struggling to move beyond isolated pilots, disconnected tools, and unrealistic expectations. While AI technologies continue to advance, most implementation failures are not caused by the technology itself — they stem from poor data quality, siloed workflows, weak governance structures, and organizations attempting adoption before they are operationally prepared.

At the same time, many construction leaders are being pressured to “move quickly” on AI initiatives without a clear understanding of what successful implementation actually requires. The result is growing confusion around where AI creates real operational value, what foundational systems must exist first, and how organizations can scale adoption without creating additional risk, inefficiency, or organizational resistance.

This 1.5-day course provides a practical framework for evaluating and improving AI readiness within construction organizations. Through a structured approach to data modernization, workflow alignment, governance, operational integration, and organizational change management, attendees will gain the tools needed to assess current maturity, avoid common implementation pitfalls, and develop a realistic roadmap for scalable AI adoption. Register now to move beyond AI hype and build the operational foundation required for long-term success.

Learning Outcomes

  • Assess organizational AI readiness across data, workflows, governance, people, and operational processes using practical maturity frameworks
  • Evaluate common barriers to AI implementation in construction organizations and identify strategies to improve adoption success
  • Differentiate between structured and unstructured construction data and analyze how data quality impacts AI performance and reliability
  • Analyze workflow integration challenges and determine when AI should augment existing processes versus require operational redesign
  • Evaluate construction AI tools and vendor claims using practical frameworks focused on implementation feasibility, operational fit, and long-term scalability
  • Identify governance, security, validation, and risk management considerations associated with AI-enabled construction operations
  • Develop strategies for building organizational alignment, operational discipline, and workforce readiness to support sustainable AI adoption
  • Create a prioritized roadmap for improving AI readiness and scaling implementation efforts across construction organizations

Register

Please Note: This event is being conducted entirely online. All attendees will connect and attend from their computer, one connection per purchase. For details please see our FAQ

If you are unable to attend at the scheduled date and time, we make recordings available to all attendees for 7 days after the event

REGISTER NOW FOR THIS EVENT:

Individual attendee(s)$ 1295.00 each(early bird rate)
(price after September 11, 2026 is $ 1,495.00)
Volume pricing also available

Individual attendee tickets can be mixed with ticket packs for complete flexibility

Pack of 5 attendees$ 5,500.00 (15% discount)(early bird rate)
(price after September 11, 2026 is $ 6,350.00)
Pack of 10 attendees$ 10,360.00 (20% discount)(early bird rate)
(price after September 11, 2026 is $ 11,960.00)
Pack of 20 attendees$ 19,425.00 (25% discount)(early bird rate)
(price after September 11, 2026 is $ 22,425.00)

Your registration may be transferred to a member of your organization up to 24 hours in advance of the event. Cancellations must be received on or before August 21, 2026 in order to be refunded and will be subject to a US $195.00 processing fee per registrant. No refunds will be made after this date. Cancellations received after this date will create a credit of the tuition (less processing fee) good toward any other EUCI event. This credit will be good for six months from the cancellation date. In the event of non-attendance, all registration fees will be forfeited. In case of conference cancellation, EUCIs liability is limited to refund of the event registration fee only. For more information regarding administrative policies, such as complaints and refunds, please contact our offices at 303-770-8800

Day one

Tuesday, September 22, 2026

Day two

Wednesday, September 23, 2026

Agenda

Tuesday, September 22, 2026
Central Time

Online

Log In & Welcome

8:45 AM

Lunch Break

12:00 - 12:30 PM

Adjourn for the day

4:00 PM

8:45 AM - 9:00 AM

Log In & Welcome

9:00 - 10:00 AM

The AI Inflection Point: What Construction Leaders Must Understand Now

AI adoption in construction is accelerating rapidly, but many organizations are still struggling to separate meaningful operational opportunities from hype-driven noise. This opening session establishes the current landscape and explores why AI implementation must be treated as a business transformation initiative rather than simply a technology deployment.

This session covers:

  • AI & agentic technology in construction: the landscape today
  • Separating signal from noise: hype cycles vs. operational reality
  • Myths of AI for construction leaders: the beliefs that derail strategy
  • Why many AI implementations never reach production
  • The leadership imperative: why AI is a business transformation, not just a technology project
10:00 - 10:15 AM

Morning Break

10:15 - 11:15 AM

Are You Actually Ready? Diagnosing Organizational AI Maturity

Many organizations are pursuing AI initiatives without fully understanding what operational readiness actually requires. This session introduces practical frameworks for assessing maturity across people, process, data, and technology.

Key topics include:

  • What “AI-ready” actually means across people, process, data, and technology
  • The AI maturity model: where most construction organizations currently sit
  • Unrealistic expectations leaders must unlearn before investing
  • What AI cannot do (yet) - and why vendors often overlook those limitations
  • Running your own readiness diagnostic using practical self-assessment frameworks
11:15 AM - 12:00 PM

Data Modernization & AI-Ready Infrastructure (Part 1)

AI systems are only as effective as the data and infrastructure supporting them. This session introduces the foundational data architecture and governance structures required for scalable implementation.

Discussion includes:

  • Structured vs. unstructured data: what AI actually needs from your systems
  • Data quality, usability, and the semantic layer challenge
  • Common infrastructure gaps impacting AI readiness
  • The operational impact of fragmented systems and disconnected workflows
12:00 - 12:30 PM

Lunch Break

12:30 - 1:45 PM

Data Modernization & AI-Ready Infrastructure (Part 2)

Continue building a framework for sustainable AI readiness through governance, operational discipline, and integrated systems thinking.

Topics:

  • Governance, ownership, and operational discipline
  • Building AI-ready infrastructure without requiring a full system overhaul
  • Common data readiness mistakes construction organizations make
  • Long-term considerations for scalable implementation
  • Aligning systems, data, and operational workflows
1:45 - 2:00 PM

Afternoon Break

2:00 - 3:15 PM

Integrating AI Agents into Construction Workflows

AI adoption fails when tools are introduced without alignment to operational workflows and organizational realities. This session explores systems thinking, workflow integration, and practical implementation strategies.

Topics covered include:

  • Systems thinking for operational alignment: mapping AI to real workflows
  • Agentic AI in construction operations: what agents can and cannot autonomously manage
  • Cross-functional integration and breaking down organizational silos
  • Workflow redesign vs. workflow augmentation: selecting the right approach
  • Avoiding the “pilot purgatory” trap and moving toward operational deployment
3:15 - 4:00 PM

Day 1 Review, Open Discussion & Q&A

Agenda

Wednesday, September 23, 2026
Central Time

Online

Log In

8:45 AM

Adjourn for the day

12:00 PM

8:45 AM - 9:00 AM

Log In

9:00 - 9:45 AM

AI-Powered Construction Operations: Real Use Cases & Honest Assessments

This session explores where AI is delivering measurable operational value today — and where limitations still exist. Attendees will examine practical applications while developing frameworks for evaluating vendors and implementation opportunities realistically.

Key topics include:

  • Estimation, scheduling, documentation, RFIs, submittals, and project controls
  • LLMs in practice: examples of value creation in construction operations
  • Where AI delivers ROI today vs. where it still falls short
  • Vendor evaluation frameworks: what to ask, pressure-test, and walk away from
  • Non-realistic expectations to be cautious about when evaluating AI tools
9:45 - 10:00 AM

Morning Break

10:00 - 10:30 AM

Responsible AI Adoption: Risk, Governance & Validation

As organizations scale AI initiatives, governance, validation, and risk management become increasingly critical. This session focuses on building responsible implementation frameworks that support operational reliability and long-term sustainability.

This session covers:

  • Hallucinations, errors, and verification protocols in operational environments
  • Security, data privacy, and governance guardrails for construction organizations
  • Managing implementation expectations with executives and project teams
  • Legal, contractual, and liability considerations in AI-assisted construction
  • Building a risk-aware AI adoption culture without creating fear-based resistance
10:30 - 11:00 AM

Building the Right Team & Culture for AI Transformation

Successful AI adoption requires organizational alignment, operational discipline, and leadership support. This session examines the cultural and workforce changes necessary to sustain long-term transformation.

Topics include:

  • The roles and skillsets needed for successful AI implementation
  • The build vs. hire vs. partner decision
  • The AI-ready mindset and preparing teams for changing workflows
  • Cultural patterns that accelerate or silently kill AI adoption
  • Leadership behaviors that support successful organizational transformation
11:00 - 11:30 AM

Scaling AI Across Your Organization: Risks, Requirements & Roadmap

challenges. This session focuses on long-term implementation planning and sustainable organizational growth.

Key discussion points:

  • Scaling from pilot programs to enterprise deployment
  • Scaling risks: technical debt, model drift, and governance gaps
  • Infrastructure, talent, process, and budget requirements for long-term scaling
  • Building practical prioritization frameworks and AI implementation roadmaps
  • The organizational mindset shift required for sustainable AI adoption
11:30 AM - 12:00 PM

Applied Workshop: AI Readiness Diagnostic

In this interactive workshop, attendees will apply the frameworks discussed throughout the course to evaluate their own organizational readiness and identify practical next steps.

Workshop activities include:

  • Map your organization against the readiness framework from Modules 2–4
  • Identify your top data, workflow, and cultural gaps
  • Pressure-test assumptions and implementation priorities
  • Develop a prioritized list of blockers and quick wins
  • Build a realistic next-step roadmap for AI readiness and adoption

Instructor

Hadis Bergman

(AI + Data) Product Lead

Burns & McDonnell

Hadis Nabavi brings an end-to-end technical foundation to AI strategy, started from database architecture, full-stack development, and advanced in data science to modern AI agents, and automation. At Burns & McDonnell, one of the largest engineering and construction firms in the US, she leads AI and data product strategy focused on helping organizations move past the myths and marketing around AI and build the data infrastructure, workflows, strategy and team structures that make intelligent automation actually function at scale. She brings a builder's perspective as someone who has worked at every layer of the stack and knows exactly where AI initiatives break down and how to prevent it.

Continuing Education Credits

IACET

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EUCI is accredited by the International Accreditors for Continuing Education and Training (IACET) and offers IACET CEUs for its learning events that comply with the ANSI/IACET Continuing Education and Training Standard. IACET is recognized internationally as a standard development organization and accrediting body that promotes quality of continuing education and training.

EUCI is authorized by IACET to offer 0.9 CEUs for this event

Verify our IACET accreditation

 

Who recognizes IACET Credits?

Requirements for Successful Completion of Program

Participants must log on each day and be in attendance for the entirety of the course.

 

Instructional Methods

PowerPoint presentations and open discussion will be used

CPEs

Upon successful completion of this event, program participants interested in receiving CPE credits will receive a certificate of completion.

Course CPE Credits: 10.5
There is no prerequisite for this Course.
Program field of study: Specialized Knowledge
Program Level: Basic
Delivery Method: Group Internet Based
Advanced Preparation: None

CpeEUCI is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org

CLE

Only registered attendees can request CLE credits for an EUCI course/event. Please email [email protected] prior to the course start date and list the state where you are licensed and your bar# as well as the name and date of your course/event in your request, and someone will be in contact.

Who Should Attend

  • Construction technology leaders
  • Operations and project controls professionals
  • VDC / BIM managers
  • Innovation and digital transformation teams
  • Project managers and construction managers
  • Construction IT and data professionals
  • Executives evaluating AI initiatives within construction organizations
  • Mid-sized contractors and construction firms preparing for AI adoption