AI in AEC Toolkit

Where does your team stand on AI?

Your team's AI maturity level, what unlocks the next one, and the workflow to start with.

FreeNo loginArchitects, engineers, contractors, owners, firm leaders

The processStep 0 + 9
0The DecisionStart here
1Policy & Guardrails
2AI Education
3Tech Stack Assessment
4Process & Pain-Point Mapping
5AI Task Force
6App Testing
7Piloting on Real Projects
8ROI Analysis
9Firm-Wide Rollout
6AI maturity levels
0+9Steps in the process
9Departments
53Workflows, tagged by fit and effort
Where you stand

Your level and your next move

AI changes one department at a time. Answer for one.

AI maturity levels

Six levels. Each one has to be unlocked.

Every level says what has to be true before you use it, what you gain, what breaks, and who signs. Nobody in AEC runs Level 6 yet.

The process

One decision and nine steps

The process we run inside firms and teach in Mastering AI in AEC. Policy and education come before tools. Each step produces one artifact.

How AI fits a workflow: the Fit Ladder

Every workflow sits on one rung. The rung says what the human still does and how much checking the output needs. Examples for Architecture.

RungExampleBest for

Verify, then sign: what the person who sends it checks, Architecture

    If the assistant cannot say where a claim came from, the claim does not ship.

    Step 1 comes first

    Write the policy first

    Clients ask for it before they sign. Your people already use AI. One page covers both. It is the step firms skip on the way to buying licences.

    01

    Approved tools, on which accounts

    Business or enterprise accounts with model training off. No personal free accounts for client work. Anything not on the list needs approval before first use.

    02

    What never goes in

    Client-confidential material, anything under NDA, government or restricted project data, personal data of staff or clients, unpublished financials. Structure without identity when the work is sensitive.

    03

    Verify, then sign

    AI output is a draft. A qualified person checks every number, standard reference and contract clause against the source before it leaves the firm. The sender owns it.

    04

    Disclosure

    Where AI materially produced client-facing work, you disclose when asked and always answer honestly. Label AI-generated imagery in presentations.

    05

    Who approves new tools

    One named person, after a sandbox test on non-client material, with a response time you write down. Not a committee.

    06

    Review

    Quarterly. Tools change monthly; a policy that stands still is already wrong. Name the next review date today.

    The eight questions (answer them out loud)

    1. Which AI tools do your people already use for work, officially or not?
    2. Which of those will the firm pay for and stand behind, on proper business accounts?
    3. What data never leaves your network?
    4. Who checks AI-assisted work before it goes to a client, and do they know it is their job?
    5. Your position on AI-generated imagery in client presentations: allowed, labelled, or banned?
    6. Who is the one person who approves a new tool, and how fast must they answer?
    7. What happens when someone breaks the policy the first time? Retraining beats punishment; scared people hide their AI use.
    8. When will you review this policy next? Name the date now.

    Get the Policy Kit

    Template, our filled example, the eight questions and the drafting prompt. One PDF. Firms over fifty people add the long form: tool register, data classes, sign-off table, incident handling. Not legal advice; your counsel reviews before adoption.

    Then: read the [CONFIRM] marks, have leadership react, counsel reviews, circulate with a fifteen-minute team walkthrough, and calendar the quarterly review now.
    5 to 5,000

    The process does not change with size. The artifacts do.

    What changes: who owns each step, which assistant tier is safe, how learning runs and how long rollout takes. It still moves one department at a time.

    What we see

    What we see in firms of 5 to 5,000

    01

    Firms want to start at the demo. The demo is Step 6. The firms that move start with a sentence about why, and a page about what is allowed.

    02

    Publishing a one-page policy increases AI use. People were holding back because nobody had said what was allowed.

    03

    One owner beats a committee. A single gatekeeper through whom every request routes is the near-death pattern.

    04

    Meaningful adoption takes one to three years. Department by department works. Everyone at once does not.

    Do one thing this week

    Firm
    Write the Step 0 sentence and the one-page policy.
    You
    Map one workflow as it really moves. Steps, hours, who does it. Pick the step AI drafts.
    Team
    Run one pilot on a live project with a deadline. Count the hours before and after.

    Where this comes from

    Everything on this page comes from implementation work inside architecture, engineering, interiors, modular and construction firms, and from teaching it to more than a thousand professionals.

    Know where you stand. Know what is next.

    Find your level. Start the right workflow. Write the policy this week.

    Start