Join Pavan Birdi, Senior Associate at Pascall + Watson, as he discusses the strategic integration of AI in architecture, particularly in high-risk sectors like aviation and defense. He emphasizes a deliberate approach, highlighting how AI tools like Omnichat can enhance productivity without sacrificing human judgment. Pavan reveals his success in reducing fee proposal creation time from days to mere hours. The conversation explores how firms can differentiate themselves by implementing AI thoughtfully, balancing innovation with practicality and creativity.
42:14
forum Ask episode
web_stories AI Snips
view_agenda Chapters
auto_awesome Transcript
info_circle Episode notes
volunteer_activism ADVICE
Adopt AI Deliberately
Be strategic and deliberate when adopting AI, weighing risk, cost, and environmental impact.
Delay major investments until models and infrastructure maturity justify the expense.
question_answer ANECDOTE
Fee Proposals Cut From Days To Hours
Pavan used ChatGPT to reduce fee proposal time from 3–4 days to a single afternoon by iterating with the model.
He primed a custom ChatGPT channel to produce realistic scopes, fees, and resource profiles quickly.
volunteer_activism ADVICE
Phase Rollouts With Department Champions
Pilot AI tools with a phased rollout and select early users across departments for feedback.
Use champions in each team to surface real workflows before broad deployment.
Get the Snipd Podcast app to discover more snips from this episode
What happens when a leading architectural firm takes a methodical approach to AI adoption? In this thought-provoking conversation with Pavan Birdi, Senior Associate at Pascall + Watson, we explore the strategic implementation of artificial intelligence in architectural practice—particularly within risk-sensitive sectors like aviation and defense.
Pavan reveals why Pascall + Watson chose a more cautious and strategic approach than many competitors in embracing AI, carefully weighing environmental impacts, cost considerations, and risk factors. "We've been quite deliberate in our adoption because we've just been looking at the landscape, reviewing what's worked, what hasn't worked," he explains. This measured approach has now led them to implement Omnichat, an expert multi-model platform leveraging various AI models, with a phased rollout starting with key individuals across departments.
The discussion moves beyond superficial applications of AI in architecture to explore genuine productivity improvements. Pavan shares how he reduced fee proposal creation from 3-4 days to a single afternoon using AI tools, while still maintaining the critical human judgment necessary for realistic project planning. This pragmatic approach stands in stark contrast to firms primarily using AI for generating visually impressive but often impractical design concepts.
We delve into how architectural practices can differentiate themselves through their unique implementation of AI, with Pavan suggesting that "the quality of your service will be all based on your data that you're putting into your LLM." Each firm's specialized knowledge—whether in aviation, workplace design, or other sectors—creates opportunities for competitive advantage when properly integrated with AI systems.
Perhaps most compelling is Pavan's perspective on the human element in architectural practice. With his experience working on complex projects across multiple stakeholders, he argues that AI will struggle with "the irrational behaviors of humans and the unpredictability of us," ensuring that while roles may change, AI won't fully replace architects and project managers. Instead, he envisions a future where professionals manage both human teams and AI agents, focusing their human attention on relationship-building and creative problem-solving.
Ready to rethink how AI fits into architectural practice? Listen now to gain insights from someone at the forefront of implementing these technologies in meaningful, strategic ways rather than simply chasing the latest trend.
Project Flux