Choosing the Right Technology for Revit Automation: Dynamo or AI?

Revit automation is evolving, but more automation options do not always make the right choice easier. A workflow that works well with traditional scripting may require a very different approach when the rules become more complex or variable. So, when should you use Dynamo, when does AI make sense, and when is a combination of technologies the better option? The answer starts with understanding the workflow itself.

What Actually Needs to Be Automated?

Before choosing between Dynamo, AI, or another automation approach, it is useful to look at what actually happens inside a Revit workflow. Not every automation task requires the same level of logic. Some tasks simply need to execute an action, while others require the system to apply rules or interpret information before taking action.

Execution: Performing a Defined Action

At the most basic level, automation simply performs an action that a user would otherwise have to repeat manually. In Revit, this could mean creating views or sheets, renaming elements, applying view templates, updating parameters, or placing views on sheets.

For example, instead of manually creating and configuring 50 sheets, an automation workflow can perform the same sequence automatically. The task is relatively straightforward because the action itself is already known.

Rules: Deciding What Action to Take

The workflow becomes more sophisticated when the system needs to make decisions based on predefined conditions. Instead of simply performing an action, it needs to determine which action should be performed and under what conditions.

For example, a company may require a different view template depending on the discipline, apply specific filters during the construction phase, or exclude temporary levels from sheet creation. These requirements can be translated into explicit rules that the automation follows consistently.

Interpretation: Understanding Before Acting

Some workflows go beyond predefined rules. The system may first need to understand project information, company standards, or user requirements before determining what should happen.

For example, a workflow might need to interpret project documentation, identify which views are required for a particular project, classify project information, or determine which predefined automation workflow should be executed. In these cases, the challenge is not simply executing a rule, but understanding the information that comes before the rule.

These three levels — execution, rules, and interpretation — provide a useful way to look at Revit automation. They also help explain why different workflows may require different technologies, rather than assuming that one automation approach is suitable for every situation.

Three Approaches to Revit Automation

Dynamo and AI are often compared as if a company has to choose one over the other. In practice, Revit automation is more flexible than that. Different technologies can address different parts of the same workflow, from executing repetitive tasks to handling complex logic and interpreting project requirements.

Rule-Based Automation with Dynamo

Dynamo is well suited to workflows where the required actions and rules can be clearly defined in advance. The basic logic is straightforward: the automation takes structured project information, applies a predefined set of rules, and performs the required actions in Revit.

Input → Rules → Revit Action

For example, a Dynamo workflow can create views for selected levels, generate sheets, rename elements according to a naming convention, apply filters or view templates, update parameters, or extract data from the model. When the same conditions should consistently produce the same result, this type of rule-based automation can be highly effective.

The main strength of Dynamo is predictability. Once the workflow logic has been defined, it can repeatedly execute the same process without requiring users to perform each step manually.

Custom Revit Automation with API and Plugin Development

Not every automation workflow fits neatly into a visual scripting environment. As requirements become more integrated with Revit or involve larger and more complex processes, custom development using the Revit API, C#, or custom plugins can provide greater control.

Custom development can support more sophisticated workflows, including dedicated user interfaces, complex processing logic, deeper Revit integration, connections with external systems, and solutions designed for broader organizational deployment.

This makes custom development an important part of the technology decision. The choice is not simply between Dynamo and AI. Depending on the workflow, a company may need Dynamo, a custom Revit solution, or a combination of technologies.

AI-Assisted Automation: Adding an Interpretation Layer

AI introduces a different capability into the automation workflow. Instead of simply executing predefined rules, it can help process and interpret information before the automation is executed.

A typical architecture could look like:

Information → AI Interpretation → Automation Logic → Revit

For example, AI can help interpret natural-language requirements, classify project information, identify relevant project conditions, or determine which predefined workflow should be used for a particular situation. This can be particularly useful when requirements vary between projects or are not easily represented as a fixed sequence of rules.

However, AI does not necessarily need to perform the Revit operations itself. In a well-designed solution, AI can act as the interpretation or decision layer, while Dynamo, the Revit API, C#, or custom plugins handle the actual execution inside Revit.

This separation allows companies to combine the flexibility of AI with the predictable execution of established Revit automation technologies.

Revit Sheet Automation: Dynamo vs. AI in a Real Workflow

The Requirement

A BIM team is working on a 20-story residential project and needs to generate its architectural documentation sheets automatically.

The project has three types of levels:

Typical floors: Levels 03–16
Amenity floors: Levels 01–02 and 17
Temporary levels: Levels 18–20, which should not generate documentation sheets

The company also has different standards for each level type:

Typical floors → Standard Floor Plan Template
Amenity floors → Enlarged Plan Template
Different title blocks are required for the two groups
Sheet numbers must follow the company's naming convention
Each sheet must contain the corresponding floor plan view

The goal is to go from the Revit model to a complete, correctly configured sheet package without manually creating and configuring every sheet.

How Dynamo Solves It

Dynamo can automate this workflow by turning the requirements into explicit rules.

The script can read the levels from the Revit model and classify them based on predefined parameters or level names. It can then apply the corresponding logic:

Level 03–16 → Standard Template → Standard Title Block → Create Sheet

Level 01–02, 17 → Enlarged Plan Template → Amenity Title Block → Create Sheet

Level 18–20 → Exclude

Dynamo can then create the sheets, place the corresponding floor plan views, apply the required templates and title blocks, and generate the sheet numbers according to the predefined naming convention.

For this particular requirement, Dynamo can handle the entire process because every decision has already been defined as a rule.

The important point is that the BIM team has to translate the company's requirements into those rules first. If the project uses a new level category, a different naming convention, or another exception, the Dynamo logic needs to be updated accordingly.

How AI Solves It

Now change the way the requirement is provided.

Instead of giving the automation developer a structured list of rules, the BIM team provides a project brief such as:

“For the residential documentation package, use the standard floor plan setup for typical residential levels. Amenity areas should use the enlarged-plan configuration. Construction-only levels should not be included. The podium and upper amenity floor follow the special documentation standard.”

A human BIM coordinator can read this requirement and translate it into the necessary rules.

An AI-assisted workflow can perform part of this interpretation automatically.

The workflow could be:

Project Brief → AI → Identify Level Categories & Requirements → Structured Instructions → Revit Automation

AI can determine which project requirements apply to which levels and convert the less-structured instructions into information that the Revit automation can use.

For example, it could identify:

Typical residential → Standard Floor Plan

Amenity → Enlarged Plan

Construction-only → Exclude

The actual creation of sheets can still be performed by Dynamo. AI is not necessarily replacing the Revit automation layer; it is handling the step that comes before it — understanding the requirement and determining which rules should be applied.

This becomes particularly valuable when the company works across projects where documentation requirements vary and cannot always be reduced to one fixed set of Dynamo rules.

How to Choose Between Dynamo and AI for Revit Automation

The choice largely comes down to one question: Does the workflow already have clear rules, or does it require interpretation before those rules can be applied?

Choose Dynamo When the Rules Are Clear

Choose Dynamo when the workflow is repetitive, the input data is structured, and the required actions can be defined in advance.

Clear rules → Dynamo

This is usually the most practical option when company standards are stable and predictable output is important.

Choose AI When the Requirements Need Interpretation

Consider AI when the workflow starts with information that needs to be understood, classified, or interpreted before the automation can determine what to do.

Unstructured requirements → AI

This is particularly useful when requirements vary between projects or are difficult to express as fixed rules.

Use Both When You Need Interpretation + Execution

If the workflow requires both flexible decision-making and reliable Revit execution, combining the two may be the better approach:

AI → Determine What to Do → Dynamo → Execute It

In simple terms:

Dynamo automates defined rules. AI helps handle requirements that cannot be fully defined upfront.

Every Revit workflow has its own level of complexity, so the right automation approach depends on what the workflow actually requires. Some processes can be efficiently automated with predefined Dynamo rules, while others benefit from AI when requirements need to be interpreted or adapted. For companies looking to move beyond one-size-fits-all automation, Harmony AT provides customized Revit automation solutions using Dynamo, AI, or a combination of both — tailored to the way each company works.