AI implementation
AI implementation for architecture and engineering firms
AI works in a firm as a layer over the systems you already run: your ERP, your project mail, your models, your standards. We help firms build that layer one workflow at a time, and we write down what we learn here.
How we think about it
Three ideas that decide whether AI works in a firm.
The layer, not the platform
AI works in a firm as a layer over the ERP, the project mail, the models, and the standards you already have. You replace nothing, and the assistant gets useful the moment it can read what your firm knows.
Read the thesisData and permissions first
An assistant answering firm questions needs project data it can trust and permissions that decide what it may see. Most pilots fail here, not at the model. We start with the data layer and the labels.
How one firm built itOne workflow, measured
Pick a workflow that runs every week, put a person on every output, and compare what the assistant produced to what people actually used. Fold the differences back into the documents, not the model.
Four projects that fitUse cases
Concrete examples.
AEC Hub tool
An intelligence layer over firm knowledge
Aané connects a firm's construction details, sections, elevations, specs, and photos into one searchable knowledge base, deployed inside a national engineering firm today.
See the Aané review* Built by Akhil Hemanth
Built for a client
Weeks of manual takeoff, done in minutes
A plumbing takeoff tool built for an engineering client who was scanning plans by hand for pipe lengths and sizes. Every segment stays reviewable: the engineer can inspect, verify, and reclassify anything on the plan. Never a black box.
Ask about custom builds* Built by AEC Hub
See more examples of practical AI built for AEC work.
View case studiesWhere firms start
Six workflows that fit the pattern.
Proposal and RFP first drafts
From an RFP to a structured outline in your firm's voice, with a person editing before it goes out.
Try the proposal generatorFirm knowledge search
Details, sections, specs, and photos from past projects, searchable by what they do rather than where they are filed.
See the Aané reviewDrawing review
Cross-sheet checks that flag coordination conflicts and scope gaps with sheet references, at the level your firm is ready for.
The five levelsProject financial signals
Budget hours against billed hours against schedule elapsed, per phase, from ERP data joined into one clean table.
What one firm builtClient and RFI inboxes
Reply drafts written from your standards and past responses, with the project manager sending every one.
See the case studyMeeting notes to commitments
Decisions, owners, and dates pulled from transcripts into a list your team actually checks.
Audit a workflowCase study
A reply-draft assistant built in two days and tuned over two weeks.
A customer-facing business with one support inbox answered the same questions by hand every day. We built an assistant that reads each incoming email, checks the calendar, looks up the real prices and policies, and writes a reply draft in the company's voice into Gmail Drafts. A person reads and sends every one, so nothing goes out on its own.
The code took one to two days. The knowledge took longer: six Google Docs the client edits themselves, covering hard facts, judgment rules, response playbooks copied from real emails, escalation triggers, the voice derived from about 600 sent emails, and a plain-English overview. A nightly job rebuilds the search index, so a price change made today is live tomorrow.
A weekly report compares every draft to what was actually sent and shows the lines that changed. Each change goes back into a document: a wrong number to hard facts, a missing offer to judgment rules, a tone problem to the voice file. That loop is what keeps the output improving after we leave, and it is the same loop we run for an RFI log or a client inquiry address inside a firm.
Learn
The guides we use with firms.
Everything below is free to read. The platform learn page adds four visual guides on models, harnesses, workflows, and the operating layer.
AI implementation for A/E firms
Clean data, permissions, one workflow, a 90-day plan.
How should my architecture firm use AI?
Where AI pays back first and what to avoid.
One-month AI implementation
Four projects with a named owner and a working pilot at the end.
Verifiable AI architecture
How an assistant shows its work so a firm can trust it on fees and liability.
The 4Es technology strategy
Exploration, effort, efficiency, and expense: a way to decide what to build or buy.
AI systems for AEC firms
Interactive study guide on models, harnesses, and workflows.
How we make AI useful for AEC firms
Visual guides and the firm AI operating model, on the AEC Hub platform.
Work with us
Your AI technology implementation consultant, on retainer.
The AI Strategy Retainer gives your firm one accountable advisor for AI decisions: a working session with leadership each month, next-business-day answers on any tool or vendor question, and hands-on help getting one workflow into production each quarter. Month to month, $1,000 a month. Firms that want a fixed build first start with the AI Implementation Sprint.