Ep 41: How Interior Designers Are Using AI Today
Listen to the Podcast Episode for a deeper dive
How Interior Designers Are Using AI Today
A practical survey of the seven areas where AI is already making a measurable difference in design workflows — from client onboarding to procurement — with the specific tools designers are using in each one.
- AI is proving most valuable in the parts of design work that are not design — client documentation, scheduling, procurement tracking, email drafting, and project setup. These are the tasks that consume designer hours without producing design value.
- Notetakers (Fathom, Lindy, Plaud) combined with LLMs (ChatGPT, Perplexity) form the backbone of the most effective AI workflows — capturing what was said, then turning it into something usable.
- AI for ideation and visualization is genuinely useful as a starting point — not a finished product. Generative tools like Midjourney and Visual Electric accelerate concept development and client communication; they do not replace the design decisions that follow.
- Procurement automation is one of the highest-value, lowest-profile AI applications in design. Meti AI's ability to scan inboxes and track shipments without manual follow-up addresses one of the most time-consuming administrative burdens in the profession.
- The full tool stack for a designer integrating AI is smaller than most people expect. A notetaker, a large language model, an image generation tool, a project management platform, and a scheduling tool covers the majority of high-impact use cases.
Seven Areas Where AI Is Actually Working in Design Workflows
This episode is a practical survey — not a theoretical overview of what AI might eventually do, but what designers are using right now. The seven categories below cover the full arc of a design project, from the first client conversation through procurement and delivery.
The Bigger Point — What This Actually Frees Up
The seven areas above have something in common: none of them are the reason someone becomes an interior designer. They are the infrastructure that keeps a design business running. They are necessary. They are not the work.
When AI handles client transcript processing, proposal drafting, procurement follow-up, scheduling coordination, and email management, what does the designer get back? The hours that were previously spent on those tasks. Hours that can go toward site visits, material sourcing, creative development, client relationship building — the parts of design work that require a designer and that clients actually pay for.
"AI enhances efficiency, improves workflow, and saves designers time — without replacing the creative expertise that makes each project unique."
— Jenna GaidusekThe common thread across all seven categories: AI excels at tasks that are repetitive, structured, and language-based. It is not yet capable of replacing spatial judgment, material expertise, client empathy, or the creative decisions that define good design. The best workflow is one that deploys AI against the former so the designer has more capacity for the latter.
For designers just getting started: pick one category from the seven above — ideally the one that is currently taking the most time — and implement one tool. Do not try to overhaul the entire workflow at once. One tool, used consistently, compounds over time.
Jenna is the go-to educator for design professionals who want to use technology without losing their creative edge. A designer turned tech advocate, she's a nationally recognized speaker, podcast host, community builder, and custom app builder based in Charleston, SC.
Disclaimer: This blog was written using AI as a recap from the recording then edited by the author for accuracy and details.
