AI for Engineering
How AI Handles Project Inquiries for Engineering Firms
When a new project inquiry arrives, AI conducts a short intake conversation to collect the preliminary project brief: engineering discipline needed, project type and location, approximate scope, timeline, and client type (owner, GC, architect). The engineer receives this brief before any discovery call rather than discovering the project scope during it.
The intake conversation for an engineering inquiry follows a structured sequence. The AI introduces the firm and asks what type of engineering the client needs help with. Based on the answer, it asks relevant follow-up questions: for structural, it asks about the project type, size, and construction type. For civil, it asks about site size and project type. For mechanical, it asks about building type and systems scope.
This targeted questioning collects the information that engineers actually need before a discovery call: enough context to assess fit, determine scope, and prepare preliminary questions. An engineer who receives a brief ('Structural review for a 4-storey wood-frame residential building in Edmonton, currently at schematic design stage, with a site permit expected in 6 months') can assess in 2 minutes whether it's a fit and what they need to discuss in the discovery call.
For inquiries that clearly fall outside the firm's scope (discipline not offered, project too small or too large, jurisdiction not served), the AI can politely decline with a referral — saving everyone time.
Common questions
For engineering consulting engagements, budget discussions are often premature at intake — the client may not know the engineering cost and the engineer can't estimate it without understanding the scope. The intake should focus on project type, scope, and timeline. Fee discussions happen after the scope is understood.
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