The AI Revolution Happening in Interior Design Studios Right Now - and It's Not What You Think

Ask most designers what they think of when they hear "AI and interior design" and the answer is usually some version of the same thing: generated images of rooms, most of them slightly wrong, with furniture that doesn't exist and light sources that defy physics. This is understandable. The visual tools are the ones that get written about, demonstrated on Instagram, and debated at industry events. They are also, for a significant proportion of working designers, the least useful application of the technology.

The more interesting story is happening in the back office.

Across professional design practices, from sole traders to mid-sized studios, more nuanced and arguably more powerful applications are being integrated. Of course designers are using AI to imagine spaces. But more powerfully, they are using it to run businesses: to draft proposals, manage client communications, process site visit notes, summarise contracts, and build the operational infrastructure that distinguishes a well-run practice from a talented but exhausting one.

Research published in 2025 found that 85% of architecture and design tasks are technically AI-ready, yet fewer than 10% of designers are currently using the technology in any systematic way. That gap is not explained by the tools being inadequate. It is explained by designers not knowing where to start, and, perhaps more importantly, starting in the wrong place. 

Where the real gains are 

The designers finding the most consistent value from AI are not using it to generate visuals. They are using it as a document engine, a tireless, patient assistant that can hold the entire context of a studio's voice, process, and standards, and produce output accordingly.

The use cases are more varied than immediately meets the eye. At the straightforward end: drafting client communications, structuring weekly project update emails, pulling action items from meeting transcripts, and summarising long builder quotes or contracts into plain English. These are tasks that consume disproportionate time relative to their creative content, and they are precisely the kind of work AI handles without complaint.

At the more sophisticated end: extracting a scope of works directly from a design consultation recording; conducting research on a client's property before a pitch; producing cost breakdowns and project debriefs; checking planning and building regulation compliance; analysing time allocation - billable/non-billable - and calculating where studio hours are being wasted. These are tasks that typically require either dedicated staff time or don't get done at all. AI makes them accessible to practices of any size.

These are useful gains. But the most significant opportunity lies one level deeper, and it requires a different way of thinking about what AI is actually for.

 The difference between using AI and building a system 

There is a meaningful distinction between reaching for an AI tool when you need it and constructing something that works reliably every time.

Once you start to map the full arc of a design commission (from first contact through feasibility, briefing, concept design, technical design, construction, and handover) a pattern becomes visible. At almost every stage, there are documents and processes that share two characteristics:

1. They follow a consistent structure, there is a standard format each time they are produced, and

2. They must flex significantly with each client, each project, and each brief.

These documents and processes are the same task each time, but they must be rewritten from first principles to meet the specific variables each time they are produced. 

These are the AI systemisation opportunities. Not the tasks that are purely routine (a standard email signature, a fixed invoice template), and not the tasks that are entirely bespoke (a creative concept, a spatial solution). The valuable territory is in between, the documents that are:

• too important to dash off
• too repetitive to justify rebuilding from scratch
• too variable to be handled by a fixed template

Consider how many of these exist across a typical design project. In the feasibility stage alone: the welcome pack and design process overview must convey consistent information about how the studio works, but the register and emphasis should shift meaningfully between a first-time residential client and an experienced developer. Briefing prep needs to cover the same logical ground each time, but the depth and direction of questioning should differ depending on what you already know about the project.

The definitive brief presents a particular challenge: it requires synthesising everything gathered across multiple briefing meetings, sometimes contradictory, sometimes incomplete, into a coherent, agreed statement of intent. The structure of that document does not change; the intellectual work of producing it is substantial every time. The design timeline, roles and responsibilities, and onboarding pack follow similar logic.

Further into the project: the indicative and full investment presentations, the materials and finishes guide, the schedules and specifications, the site visit reports, the installation and styling packs, the project closure documentation. Every one of these has:

• fixed architecture
• variable content

Every one of them is currently being rebuilt, to some degree, from scratch.

The AI systemisation model

 A system, in this context, has three components.

First: a permanent layer of studio context - the design philosophy, the typical client profile, the fee structure logic, the voice and register of the studio's communications. This is written once and held in place so that every document the AI produces sounds like the studio, not like a generic template.

Second: a minimal set of project-specific variables - the information that changes with each commission, provided in structured form so that no writing is required, only answers to clear questions.

Third: output instructions - what the document should contain, section by section, and what each section should accomplish.

The result is not just faster documents. It is consistently better ones, produced without the procrastination and anxiety that tend to accompany the blank page. And because the system holds the studio's standards rather than relying on the individual to reproduce them from memory under pressure, it scales - across projects, and across team members:

A junior designer working within a well-constructed AI system produces output that meets the studio's standards.

A sole trader who has built these systems works, in effect, with the operational infrastructure of a larger practice.

What this means for your practice 

The designers who are ahead of this are not necessarily the most technologically sophisticated. They are the ones who have thought clearly about how their studio operates - what their standards are, what their process is, what their voice sounds like - and have translated that clarity into a system that AI can work within. That thinking requires time set aside to work on your business rather than in it: time that feels hard to spare, but that you cannot afford not to invest.

If you still think of AI as a search engine or an image generator (regularly useful but not transformative, not integrated into how your practice runs) you’ll be amazed at the new worlds of opportunity opening up, and, at how easy they are to access.

If you would like to understand how this works in practice - and specifically how to apply it to client communications, and studio operations - I am presenting two webinars on AI in the interior design practice for the BIID in the coming months.

The first session, AI Foundations for Interior Designers: Working Confidently from First Principles on Thursday 21 May at 10.30am. This session is entry level, for designers just starting out with AI. We’ll cover simple applications without delving deeply into workflows.

The second session, AI in Practice: How Interior Designers are Integrating AI into Studio Workflows covers more advanced applications (for designers already using AI) and is scheduled for 18th June at the same time.

Booking is through the BIID directly.

BIID booking link -  21 May

BIID booking link - 18 June