AI for Architects and Engineers: Becoming an Agentic Firm

Architecture and engineering firms are becoming agentic. You'll watch an agent work, live. The real question is how to use the technology well: what an agent actually is, how to put your firm's expertise to work through it, and how to prepare for what's next. An agent isn't a smarter chatbot — it's a system you give instructions, skills, tools, and context, then trust to do real work. The firms that move deliberately will set the pace. The most practical place to start is your own expertise: capture what your best people know as skills, then share them across the firm so one person's knowledge becomes everyone's. We'll cover what a skill is, how agents connect to your firm's real systems — project files, specs, models, email — through MCP (the Model Context Protocol), the open standard that has quickly become the common connector between agents and software, and when to build agents versus buy them as vendors enter the market. We'll also cover how an agentic future, where the model itself does the orchestrating, shifts your job to giving agents good skills, clear permissions, and real oversight. You'll leave with a clear way to think about agents and a concrete plan.

Upon completion of this course, the Learner should be able to:

• Describe what an AI agent is and how it differs from a chatbot, including its building blocks — instructions, skills, tools, and context — and how MCP (the Model Context Protocol) connects those tools to a firm's systems and data.
• Explain how capturing expertise as reusable skills and sharing them across a firm scales one person's knowledge to the whole organization.
• Evaluate when to build agents internally and when to buy them from vendors.
• Anticipate how an agentic future, with the model as orchestrator, reshapes firm roles, governance, and permissions.

Approximately 1 hour. Delivered via webinar or face-to-face presentation. Available sessions shown below.

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This course is registered with: 1 Industry Association(s)