CPD - AI in Architectural Practice: Integration, Diversification and Future Forecasting
Description
Date: Thursday 19 March 2026
Time: 10am - 12pm
Location: Zoom
CPD Points: 2 Formal
CPD - AI in Architectural Practice: Integration, Diversification and Future Forecasting
AI in Practice
(This blurb was drafted by AI, curated by a human)
AI in Architectural Practice: Integration, Diversification and Future Forecasting
This CPD session provides architects with a strategic overview of how artificial intelligence is reshaping professional practice, focusing on business integration, new service opportunities, and future industry trajectories.
Delivered across three focused presentations, the workshop examines AI not as a single tool, but as an emerging operational layer that impacts practice management, project delivery, risk, staffing, and professional positioning.
Speakers:
Paul Cooksey - Northern Edge Studio - ArchiTeam CPD committee chair
Michael Smith - Andever
Hamza Khan - HKlabs and Cox Architecture
Session
1. AI Integration into Business Practice
An overview of how AI is currently being adopted within architectural offices, including applications in workflow automation, documentation, research, communication, and decision support.
The "Cheat Sheet": This breakdown of various systems, tools, and approaches will assist any practice looking to introduce AI to their workflows.
2. AI Opportunities for Diversification and New Services
This segment highlights how AI can be used across the architectural knowledge base to empower our generalist skill set.
Case Study: Michael Smith explores how he is leveraging AI to expand beyond traditional fee structures with the establishment of Spec Rep Help Desk building systems to streamline the approvals process and build better buildings.
3. AI Future Forecasting
A forward-looking analysis of how AI is likely to impact procurement models, client expectations, staffing structures, and the designs of architects over the next 5–10 years.
Hamza Khan of HKlabs and Cox Architecture shows how he is using AI in his workflows and integrating AI into his design and documentation.
Learning Outcomes
Participants will be able to:
Understand current and emerging roles of AI within architectural practice.
Identify opportunities to integrate AI into business systems and workflows.
Recognise potential new service models enabled by AI.
Develop informed perspectives on future risks, opportunities, and professional responsibilities.
AACA 2021 NSCA Performance Criteria:
🔹 Practice Management and Professional Conduct (PC1–PC16)
Relevant PCs:
PC Number | Associated Competency (2021 NSCA) | How Your Session Addresses It |
PC1 | Regulatory requirements & professional obligations | Understanding evolving roles and responsibilities in practice, including AI impacts on regulation and codes. |
PC2 | Quality assurance systems | AI adoption for workflow and process improvement in practice management. |
PC3 | Project planning principles | Strategic inclusion of AI in planning practice workflows and project delivery. |
PC7 | Communication with clients & stakeholders | AI-enabled communication, documentation and decision support. |
PC8 | Culturally responsive engagement | AI approaches that involve stakeholder communication and inclusive design considerations. |
PC9/PC10 | Procurement methods & whole life carbon considerations | AI impacts on procurement models and environmental performance evaluation. |
PC12 | How codes, standards and planning controls apply across practice | AI integration relating to compliance and regulatory interpretation. |
PC16 | Risk management and mitigation strategies | Identifying risks/opportunities with AI adoption in architectural services. |
These PCs reflect the business and professional contexts where AI tools, systems, and future forecasting shape practice strategy and risk management.
🔹 Project Initiation & Conceptual Design (PC17–PC35)
Relevant PCs:
PC Number | Associated Competency (2021 NSCA) | How Your Session Addresses It |
PC17 | Caring for Country | Contextual thinking and cultural awareness; AI tools used responsibly within design contexts. |
PC18 | Creative design processes & critical evaluation | AI impact on creative, iterative conceptual design and research methods. |
PC19 | Project feasibility & site/constraint research | AI-supported research and early analysis workflows. |
PC24 | Evaluation of project development options | Using AI to explore alternative design solutions and business models. |
PC26 | Site, cultural & contextual analysis | AI tools augmenting analysis of site/context in early project stages. |
PC28 | Preliminary design research | AI as a research and analysis tool in conceptual design. |
PC29 | Evaluation of design options | AI-informed evaluation of alternatives and outcomes. |
PC31 | Environmental sustainability | AI’s potential to support sustainability analysis and design responses. |
PC33/PC35 | Integration of sustainable systems & carbon impacts | AI uses for environmental system analysis and carbon considerations. |
PC34 | Communication with stakeholders | AI for visualisation and communication of concepts to clients and teams. |
These PCs directly tie into design initiation, research, iterative thinking, evaluation and communication — exactly where AI influences architectural work.
🟡 Summary — PCs Your CPD Session Covers
➡️ Practice Management & Professional Conduct
PC1, PC2, PC3, PC7, PC8, PC9/10, PC12, PC16
➡️ Project Initiation & Conceptual Design
PC17, PC18, PC19, PC24, PC26, PC28, PC29, PC31, PC33/35, PC34
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