Dynamo workflow automation
Turn a well-defined repeated task into a reusable graph. Discuss element selection, input data, parameter operations and the checks your project needs.
From task to tool
Have a repeated Revit task, a model data challenge or an idea for a custom tool? Let's define the right automation approach.
Inputs. Conditions. Expected output.
Collect → Filter → Process
Check the result. Keep the logic.
Designed around the actual task
Tell us what you repeat, what data you have, and what a successful result should look like.
Our services
Dynamo, Python, C# and AI are tools. Your workflow decides how to use them.
Turn a well-defined repeated task into a reusable graph. Discuss element selection, input data, parameter operations and the checks your project needs.
Use Python and the Revit API to collect elements, combine conditions and apply deliberate data updates. Build the logic around your model and expected output.
Bring a repeated workflow into the Revit interface with purpose-built commands, tools and ribbon buttons. Define the audience, Revit version and deployment requirements.
Discuss useful prompting, supported tool connections, AI agents and MCP concepts in the context of a Revit task. Keep review and model verification part of the workflow.
Develop a training discussion around your team's starting point and daily project tasks. Explore Dynamo, Python, C# add-in creation or AI for Revit with BIM Era.
Scope repeated parameter checks, schedule preparation and discipline-specific model review. Define the data rules first, then choose the appropriate graph, script or tool.
A clear development process
01 /
Define the task, current process, model context and the result your team needs.
02 /
Build an initial graph, script or tool around a representative input.
03 /
Review the output, handle exceptions and check behaviour in the target Revit environment.
04 /
Agree the deliverables, instructions and any follow-up requirements for your team.
Project pricing depends on the task, inputs, complexity and agreed deliverables. Share a brief so the team can discuss the scope with you.
Send a project briefMake the first conversation useful
A short explanation is enough to start. You can discuss representative model data with our expert once the requirement is clear.
Make your next move