A decision guide for Structural Engineer

Practical AI and automation workflows for Structural Engineers

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

11 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?

  • Keep engineering calcs organized, checkable and reusable in a calc platform

    Calculation management tools put calcs in a shared, versioned workspace; an AI assistant can draft the narrative and check units.

    Conventional automation AI must never be the source of design values. The engineer of record signs and is responsible.

    Open the workflow →
  • Check model data against project rules before it reaches drawings

    Design data platforms connect Revit, Rhino and IFC, validate each model version, and let you ask questions of live model data.

    Conventional automation Validation only checks the rules you write. It does not check structural adequacy.

    Open the workflow →
  • Query a Revit model in plain language through an MCP connector (read-only first)

    The Model Context Protocol (MCP) lets AI assistants connect to tools. Open-source Revit MCP servers expose Revit actions to an agent.

    Agent executes Community software, not vendor supported. Never run on a live central model.

    Open the workflow →
  • Run non-standard steel connection checks in connection design software

    Connection design software checks steel connections and concrete details against AISC, Eurocode and other standards.

    Conventional automation Software results need engineering judgment and a check. The engineer of record is responsible.

    Open the workflow →
  • Run quick structural analysis in browser-based software

    Browser-based structural analysis and design software covers frames, beams and member design.

    Conventional automation Check combinations and boundary conditions yourself. Output is only as good as the model.

    Open the workflow →
  • Size simple beams, joists and posts in member calc software

    Calculation platforms provide reviewable, traceable member calcs with standards built in.

    Conventional automation Templates assume conditions that may not match yours. Read the assumptions.

    Open the workflow →
  • Extract connection data from steel shop drawings into a spreadsheet with an AI skill

    Write a step-by-step extraction skill, run an AI model over the shop drawing set, and verify every cell with cross-checks such as plate weight from geometry vs. the bill of materials. In our own trial on 21 connections (273 values), the best model run matched 268 of 273 values (98%) against the verified answers; verification rules made the biggest difference.

    AI assists Extraction only. Models confused gross BOM plate sizes with effective dimensions shown in details; flange plate widths caused the most errors. The engineer reviews every value and makes all design decisions.

    Open the workflow →
  • Build a transparent, tested Excel calc for a repeatable connection check

    Generate an unlocked spreadsheet from a script, cite spec section numbers next to every formula, and test it against an independent hand calc so the workbook can be reviewed instead of trusted as a black box.

    Conventional automation A tested spreadsheet is still a calculation aid. Users must own the current specification and verify results; it does not replace the engineer of record.

    Open the workflow →
  • Watch official code and standard publisher pages and get a weekly change digest

    A scheduled job checks official publisher pages (ICC, ASCE/SEI, AISC, ACI, AWC, AWS, state code agency) for new errata, supplements and adoption notices, and an AI drafts a weekly digest that separates fact from implication.

    AI assists Digests point to sources; read the actual errata and your jurisdiction's adopted edition before acting.

    Open the workflow →
  • Turn a PDF calc package into a working, checkable spreadsheet

    Use an AI coding assistant to rebuild a PDF calculation package (for example a connection plate redesign) as a spreadsheet: inputs in highlighted cells, then one check per block (gross yielding, rupture, combined axial and bending, buckling, block shear), each matched to the PDF value.

    AI assists The spreadsheet reproduces a calc; it does not validate it. Adequacy is the engineer of record's call.

    Open the workflow →
  • Plan a study of a tank wall where an opening was added after design

    When an access opening is cut into a tank shell after design and the shell deforms near it, use AI research to gather reinforcement approaches, then plan a shell finite element comparison (no opening, as-built opening, proposed reinforcement) checked against hand hoop-stress calcs.

    AI assists This is a study plan, not a design. Unknown liquid levels or material data can change everything; the engineer of record decides.

    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 Structural Engineer 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.