Artificial intelligence is reshaping Revit framing software—not by replacing automation, but by making it easier to configure, customize, and scale. As off-site construction continues to grow, manufacturers are looking beyond simple automation toward intelligent assistants that accelerate BIM workflows while preserving engineering expertise.
Meet the Experts
This article is based on interviews with Product Manager Thaïs Blinovas and Solutions Technical Specialist Burhan Bustillos-Francis. Together, they have supported numerous framing automation implementations for manufacturers using Revit-based workflows across North America.
Thaïs Blinovas
Product Manager (7 years)
Burhan Bustillos-Francis
Solutions Technician
Rather than discussing automation in theory, they share what they’ve observed across years of customer implementations—from companies just beginning their BIM journey to manufacturers producing thousands of prefabricated wall panels every year.
In Brief
According to Strucsoft’s Product and Technical team, artificial intelligence is not replacing framing automation—it is making it more accessible, flexible, and easier to customize. While rules-based automation remains the foundation for generating framing, shop drawings, and manufacturing-ready outputs, AI is helping users configure workflows faster, reduce repetitive setup, and simplify highly customized framing requirements.
As AI continues to evolve, its greatest impact will likely come from improving how professionals interact with framing software rather than replacing engineering expertise. For manufacturers, BIM managers, and VDC teams, the future lies in combining proven automation with AI-assisted workflows to accelerate implementation, improve productivity, and support increasingly complex prefabrication projects.
Why is AI becoming important for Revit framing and BIM automation?
AI is becoming essential because today’s framing workflows require more than automation alone. As projects become increasingly detailed and prefabrication continues to grow, companies need software that can not only automate repetitive tasks but also adapt quickly to unique project requirements.
Two years ago, many companies were simply looking for software capable of automating wall panel creation. That alone represented a significant productivity improvement. Today, expectations are completely different.
According to Thaïs Blinovas, Product Manager at Strucsoft, customers are no longer impressed simply because automation exists—they expect automation to be:
- Faster
- Smarter
- Easier to customize
- Easier to learn
- Profitable from the first project
This shift is largely driven by the rapid adoption of off-site construction and prefabrication, where every delay directly impacts manufacturing schedules and project profitability. As fabrication workflows mature, firms require higher-quality BIM models, faster QA processes, and more reliable production outputs than ever before.
Consider a manufacturer producing several hundred wall panels every week. Even a small change to a framing standard—such as updating stud spacing, adding a new reinforcement detail, or modifying opening conditions—can require significant template adjustments before production can continue.
Rather than manually reconfiguring multiple templates, AI could help generate or update those configurations in minutes, allowing engineering teams to validate the changes and keep production moving.
As Burhan summarizes:
Automation solved repetitive framing. AI is now solving the configuration and decision-making layers that previously required extensive experience.’’
Evolution Timeline:
Where AI creates the most value today
One of the challenges with applying AI to framing software is that many of the problems that need solving are inherently deterministic, requiring solutions that deliver consistent, accurate, and reliable results. While AI is not yet capable of handling generative design tasks with the level of precision these applications demand, it can provide significant value today by enhancing existing automation. The greatest opportunities lie in reducing repetitive configuration work, simplifying software adoption, and helping manufacturers adapt automated workflows to their own production standards, ultimately streamlining processes that are currently manual and time-consuming.
As Thaïs explains:
AI shouldn’t replace engineering expertise. It should remove the repetitive configuration work that slows projects down, enabling teams to focus on constructability, coordination, and production.”
Based on Strucsoft’s Product and Technical team’s experience, AI is expected to have the greatest impact in the following areas:
| Workflow task | Traditional approach | AI-assisted approach |
|---|---|---|
| Template creation | Manual configuration | Generate templates from natural language or sketches |
| Software onboarding | Extensive training | AI-guided learning and recommendations |
| Custom framing requirements | Manual customization | AI-assisted rule generation |
| Workflow configuration | Technical menus and settings | Conversational configuration |
Unlike traditional automation, which executes predefined rules, with the help of AI Skills users can build, modify, and optimize those rules more efficiently. This allows teams to spend less time configuring software and more time delivering production-ready framing models.
Where traditional automation reaches its limits
Rules-based automation performs exceptionally well when workflows are standardized. However, highly customized projects still require manual intervention because every manufacturer follows different design standards, fabrication methods, and engineering practices.
Traditional automation relies on predefined rules.
For example:
- Stud spacing
- Opening reinforcement
- Blocking locations
- Panel configurations
- Framing templates
The challenge appears when a customer requests something that falls outside these predefined rules.
Consider a real-world example. A hospital project may include hundreds of unique wall conditions to accommodate medical equipment, mechanical systems, fire ratings, and varying room layouts. It is nearly impossible to anticipate every one of these scenarios with predefined framing rules alone. This is where AI can help generate or adapt templates more efficiently while engineers maintain control over the final design.
As Thaïs Blinovas explains, some manufacturers require extremely specific framing details that cannot realistically be anticipated within traditional automation logic. Trying to account for every possible variation would require thousands of unique scenarios. This is precisely where AI capabilities such as function tools and skills become valuable.
Instead of replacing existing automation, AI can help users create new rules, generate templates, and configure complex framing requirements using natural language rather than navigating multiple software menus.
In other words:
- Automation executes established rules.
- AI helps create and adapt those rules.
From hand sketches to automated panel templates
One of the most exciting developments discussed by the Strucsoft team is the ability to generate framing templates directly from simple sketches—a concept that could significantly reduce software setup time.
Interestingly, this capability was discovered almost by accident.
During an internal proof of concept, the team drew a basic wall panel, specified stud size and spacing, and submitted the sketch to their AI assistant. Instead of requiring manual configuration, the AI successfully generated the corresponding panel template.
Although still in development, the demonstration revealed an entirely new direction for framing software.
Rather than asking users to master dozens of configuration tools, future workflows may simply allow them to describe—or even sketch—the framing system they need.
Imagine telling your software:
“Create a wall panel using 600 mm stud spacing with double king studs around openings.”
Instead of manually configuring every parameter, the AI assistant could prepare the template automatically before the automation engine completes the framing.
For BIM teams, this represents a significant reduction in setup time while making advanced framing workflows more accessible to new users.
As Thaïs Blinovas explains :
The long-term objective is not to replace engineers. It is to eliminate repetitive configuration work so teams can focus on design decisions that require professional judgment.”
AI is making customization easier—not replacing engineering
One of AI’s greatest strengths is its ability to simplify highly customized workflows without removing engineering judgment. Rather than replacing engineers, AI reduces the time spent configuring software so professionals can focus on design decisions that create value.
A common misconception surrounding AI is that it will eventually automate the entire framing process.
The Strucsoft team doesn’t see it that way. Instead, they see AI as an intelligent assistant that helps engineers and BIM specialists reach automation faster.
For example, today a customer requesting a unique framing configuration often requires either:
- manual template creation,
- software customization,
- or additional development.
Tomorrow, many of those requests could simply become AI-generated scripts or reusable “skills.” Instead of waiting for an entirely new software feature, companies may receive an AI-generated customization that fits their own production standards.
This approach offers two important benefits:
- faster implementation;
- greater flexibility for manufacturers with unique production methods.
As Thaïs explains:
AI should remove repetitive configuration—not engineering responsibility. Professional judgment will always remain essential for code compliance, structural design, and constructability.”
Why AI could dramatically reduce the learning curve
Learning advanced framing software takes time. AI has the potential to shorten onboarding by making complex tools easier to configure and understand through natural language instead of technical menus.
According to Thaïs, becoming proficient with advanced framing software can take several months. Basic training teaches users where the tools are located, but real production projects require experience that only comes with practice.
This is one reason implementation projects often extend beyond the initial software purchase.
Many companies underestimate the transition process.
They expect to install the software, complete a few days of training, and immediately produce fabrication-ready projects.
In reality, successful implementation requires:
- A clean Revit model.
- Standardized framing rules.
- Proper template configuration.
- Pilot projects before production.
- Ongoing collaboration between the customer and the Strucsoft implementation team.
AI cannot eliminate these steps, but it can significantly simplify them by helping users configure templates, understand workflows, and automate repetitive setup tasks.
Key Takeaways
The greatest productivity gain from AI may not come from faster framing—it may come from dramatically reducing the time required to learn and configure the software.
Automation plus AI: the future of BIM-to-manufacturing
The future of framing software is not AI alone. It is the combination of mature automation, BIM data, and AI-assisted workflows that accelerates the entire path from design to manufacturing.
Traditional automation already handles many repetitive production tasks, including:
- generating wall panels;
- placing framing members;
- creating schedules;
- producing shop drawings;
- preparing fabrication data.
AI builds on top of that foundation.
Instead of replacing proven automation rules, it makes them easier to create, modify, and adapt to customer-specific requirements.
This layered approach is particularly valuable for manufacturers because no two production facilities operate exactly the same way.
Different companies may have different:
- framing standards;
- CNC equipment;
- fabrication sequences;
- engineering preferences;
- quality control procedures.
Rather than forcing every manufacturer into a single workflow, AI opens the door to more personalized automation while preserving standardized production outputs.
| Capability | Traditional automation | AI-enhanced automation |
|---|---|---|
| Generate framing members | ✔ | ✔ |
| Create shop drawings | ✔ | ✔ |
| Configure templates | Manual | Assisted by AI |
| Handle unique customer requests | Limited | Significantly improved |
| Natural language interaction | ✘ | ✔ |
| Sketch-to-template workflow | ✘ | Emerging capability |
| Reduce training time | Limited | Strong potential |
Looking ahead: what will Revit framing look like in five years?
The long-term vision is a framing workflow where users interact with software conversationally rather than through complex configuration menus. AI will simplify software interaction while automation continues to execute production-ready framing.
When asked about the future, Thaïs Blinovas described a vision where users communicate directly with an intelligent assistant instead of manually navigating every tool.
Rather than clicking through multiple dialogs, users could simply describe the framing system they need and allow the assistant to build the appropriate configuration.
Future AI assistants may also recommend:
- more efficient framing strategies;
- material optimization opportunities;
- improved panel layouts;
- workflow improvements;
- project-specific automation suggestions;
- pre-manufacturing project validation.
The goal isn’t to replace engineers.
The goal is to let engineers spend less time configuring software and more time solving construction challenges.
As Thaïs explains:
The companies that gain the greatest competitive advantage will be those that combine standardized BIM workflows with intelligent AI assistance—not those that rely on AI alone.’’
Frequently Asked Questions
Is AI replacing framing automation?
No. AI complements automation rather than replacing it. Rules-based automation remains the most efficient way to generate framing members, schedules, and shop drawings. AI improves the workflow by helping users create templates, configure custom rules, and simplify software interaction.
Can AI create framing templates from a sketch?
Graitec has successfully demonstrated a proof of concept where a simple hand-drawn panel sketch generated a working panel template within Strucsoft. Although this capability is still evolving, it illustrates how AI may significantly simplify future framing workflows by reducing manual template setup.
Will AI reduce the learning curve for BIM teams?
Yes. One of the biggest opportunities identified by the Graitec team is helping users configure complex workflows using natural language rather than navigating multiple technical tools. While training and implementation will always remain important, AI has the potential to make advanced framing software much more accessible to new users.
Should manufacturers wait for AI before investing in framing automation?
No. Organizations already using mature automation platforms will be best positioned to benefit as AI capabilities are introduced. A strong automation foundation provides the structured data and workflows that allow AI to deliver meaningful productivity improvements rather than starting from scratch.
Final Thoughts
Artificial intelligence represents the next evolution of Revit framing software—not because it replaces automation, but because it enhances it.
Rules-based automation remains the engine that generates accurate framing, shop drawings, and fabrication data. AI builds on that foundation by simplifying setup, accelerating customization, and reducing the learning curve for BIM professionals.
For manufacturers, VDC teams, and structural engineers, the future is not about choosing between automation and AI. It is about combining both to create faster, smarter, and more adaptable BIM-to-manufacturing workflows.
As these technologies continue to mature, companies that invest in standardized automation today will be best positioned to take advantage of AI-assisted framing tomorrow.
