A decision guide for Architect

Practical AI and automation workflows for Architects

Pick the architect task in front of you. Each workflow is labeled by what actually does the work: an AI agent, AI assisting you, or conventional software.

7 workflows · Workflow guides; no independent tool testing claimed

Start here

Start with the task that costs you the most time each week, and try it on a small, non-confidential sample first.

Which workflow fits?

  • Build a building-code research checklist with AI, then verify every section

    Use a code search platform plus a general AI assistant to pull applicable IBC and local amendment sections, then verify each citation.

    AI assists AI assistants misquote section numbers. The adopted code and local amendments govern. The design professional of record is responsible for compliance.

    Open the workflow →
  • Restyle a massing model into AI concept images for early client talks

    AI visualization plugins restyle a SketchUp, Revit or Rhino view into photoreal options in minutes for early design conversations.

    AI assists Outputs can invent details that are not in the model. Do not use them for permit or construction documents.

    Open the workflow →
  • Test unit yield on a site with feasibility software before buying it

    Feasibility software generates site plans and yield options from zoning and parking inputs so you can compare scenarios quickly.

    Conventional automation Results depend on the zoning inputs you enter. Confirm with the zoning official or a zoning consultant.

    Open the workflow →
  • Lay out program and space plans with generative layout software

    Cloud space-planning tools import site and Revit data and measure automatically as you edit.

    Conventional automation Early-stage tool. Code compliance and egress still need a full review.

    Open the workflow →
  • Cut repetitive Revit documentation work with scripts and plugins

    BIM automation products aim to generate documentation using a firm's own standards.

    Conventional automation Always test scripts on a copy of the model. AI-written code can break models.

    Open the workflow →
  • File project email so decisions are not lost

    Project information management platforms centralize files, emails and conversations.

    Conventional automation Only captures what gets filed.

    Open the workflow →
  • Take Revit geometry into Unreal Engine for cinematic visualization with an AI agent

    With MCP connectors to both Revit and Unreal Engine, an agent reads the Revit 3D view as the source of truth and sets up the Unreal level and sequencer for stills and fly-through video.

    Agent executes Large models are slow and connectors are early-stage. Check geometry against Revit before presenting.

    Open the workflow →

Get ready once

  • Tool access and a confirmed license.
  • A sample project file you are allowed to share.
  • A reviewer for anything that leaves your desk.

Know when to stop

  • Stop if inputs, units or code editions are unclear.
  • AI output and clean software reports do not establish adequacy; the professional of record is responsible.

A practical sequence

  1. Pick one workflow.
  2. Run it on a sample.
  3. Check the result against the source.
  4. Adopt it on a live project with review.

All Architect workflows

Know what does the work.

Agent executes
An AI agent calls connected tools to carry out bounded actions. You set permissions and review the result.
AI assists
AI drafts or analyzes. A person operates the tools, checks the work, and takes action.
Conventional automation
Rules or specialist software perform the task. No AI agent is required.