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AI Productivity

5 AEC Workflows to Automate Before 2027

Arvaya 4 min read
Construction worker in a white hard hat and high-visibility vest walking across a large grid of steel rebar on a foundation site

Ask a senior project manager where their week went, and you’ll hear about RFIs and meeting recaps long before you hear about design or engineering. For most architecture, engineering and construction firms, the biggest drag on productivity is admin work that follows the same steps every time and sits well below the skill level of the people doing it.

That work is where AI and automation should go first. Below are the five AEC workflows we see pay off fastest, along with what to check before you automate each one.

1. Meeting Notes Into Action Items

Every project runs on meetings, and the follow-ups from those meetings are easy to lose. An AI assistant can take your notes or a transcript and pull out the decisions made and the action items, each with an owner and a due date.

Check first: your AI use policy says what can be pasted into the tool, and someone reviews the recap before it goes out.

2. RFI and Submittal Logging and Routing

RFIs and submittals usually arrive by email and get logged and chased by hand. Automation can log each one as it arrives and send it to the right reviewer. When something sits too long, it gets flagged automatically.

Check first: your naming and numbering conventions are consistent. Automation follows whatever rules you give it, including the bad ones.

3. Daily and Weekly Field Reports

Superintendents and field teams already capture what happens on site. AI can take their rough notes and voice memos and turn them into a daily report that matches your format every time.

Check first: you have a standard report template. If every project formats reports differently, standardize before you automate.

4. Proposal First Drafts

Your past proposals and project sheets hold years of usable material. With the right setup, AI can find the past projects most relevant to a new pursuit and draft a first version of a proposal section in minutes. Your BD team then starts from a working draft and spends its time tailoring it to the client.

Check first: your past project data is organized and findable. This is often where a data cleanup pays for itself.

5. One Project Dashboard Instead of Five Spreadsheets

When leadership asks how a project is doing, getting the answer shouldn’t take two days. Connecting your project management system with your financial data gives leadership the same numbers in one place.

Check first: you know which system is the source of truth for each number, and who owns it.

How to Pick Your First One

Don’t try all five at once. Start with the workflow your most expensive people repeat every week. Time how long it takes now, then time it again after you automate it. The difference is a real number you can bring into your 2027 planning.

Where to Start

Starting with one workflow is the easiest way to learn what AI can do for your firm. When you’re ready to go further, Arvaya can help you pick the right workflow and build it around how your team already works. We also train your people on the tools, because AI can only be as good as the person who knows how and when to use it. Talk to our team to get started.

Tell us what you’re trying to solve.

Whether you’re trying to help your workforce adopt AI, connect disconnected systems, or clean and migrate critical business data, we’ll help you determine the right next step.

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