Artificial Intelligence is becoming a powerful tool for AEC and manufacturing firms to improve efficiency, safety, and project outcomes. Recently, we hosted an executive-focused webcast, The AI Journey: From Foundations to Real-World Impact, where industry leaders explored how organizations can move from AI strategy to execution. The session covered global adoption trends, real-world use cases, and practical steps to assess data and process readiness.
Following the webcast, we received a wide range of thoughtful questions from attendees. We’ve rounded up some of the top questions and answers to help guide your own AI journey.
Is AI just about large language models?
Not at all. While large language models (LLMs) like ChatGPT get the most attention, AI spans far beyond that. For some organizations, the opportunity may be as simple as automating workflows or using rules-based engines for specific tasks.
What type of data matters most?
Data means much more than design files. It includes:
• Customer and product masters
• Design palettes, specifications, and object libraries
• RFIs, sales orders, and change documents
• As-built versus as-designed records
In other words, every interaction across your business, from AutoCAD blocks to construction firm communications - is data.
Does IMAGINiT offer AI assessment services?
Yes. IMAGINiT consultants can evaluate your current processes and data readiness, then build a roadmap that makes sense for your business.
Will AI be built into Clarity?
Yes, the Clarity product team is actively exploring ways to embed AI capabilities into the platform. Early evaluations are already underway.
How do you choose the right AI engine?
It depends on your processes and objectives. Different engines are designed for different use cases - for example, site safety versus regulatory compliance. Start by defining your processes and use cases, then evaluate engines based on whether they can support those specific needs.
How do you manage variability in human inputs?
It comes down to process controls, data literacy, and structured data models. Businesses are always evolving, and so is their data. Establishing strong governance helps AI interpret and act on information effectively.
Are architects using AI tools beyond chatbots?
Most adoption so far has centered around chatbot-style tools like ChatGPT and Gemini, with growing interest in predictive design. While the design-focused tools are still in early stages, they are advancing quickly.
What about unique designs - can AI help?
Yes, if rules and patterns can be defined. Even if AI can only take you 60% of the way, that’s still a significant head start compared to starting from scratch.
What’s the biggest barrier to getting started?
Time. Deciding to begin is the first step, but organizations must also allocate time to plan, engage staff, and execute without disrupting day-to-day operations.
How should organizations address data security and compliance?
Data location and controls are critical, especially for government projects. Ensure AI solutions are deployed within secure tenancies that keep your data private. Compliance frameworks like FedRAMP and CMMC are also on the roadmap for consideration.
Should AI be embedded in software or run externally?
Both options are valid. The right choice depends on your data integration needs and how you want AI to be accessed by your teams.
How can organizations adopt AI in manageable steps?
Break the journey into phases. IMAGINiT often helps clients develop roadmaps with small, sequential projects that deliver value along the way. This phased approach makes it easier to adapt AI adoption to business cycles and available resources.
How do you train staff to use AI responsibly?
Success depends on people. Organizations should:
• Clearly explain objectives and expectations
• Provide training on AI fundamentals
• Leverage learning management systems for ongoing education
• Reinforce best practices around accuracy and AI “hallucinations”
When employees understand both the vision and the tools, adoption is smoother and more effective.
Final Thoughts
AI adoption isn’t just about the technology. It’s about aligning data, processes, governance, and people to unlock real-world impact. Whether you’re just starting to explore AI or considering how to scale existing efforts, IMAGINiT can help you chart the right course.
Want to dive deeper into audience questions? Watch the Q&A portion of the webcast.
Prefer the full session? Watch the on-demand webcast.
