An AI agent for interior design studios
that answers inquiries with the right portfolio piece

Where design inquiries actually start

A design studio’s inquiries arrive the way its work is discovered. An Instagram post someone scrolled past at 11 p.m. A WhatsApp number pulled from a portfolio site. A referral forwarded in a group chat. The person writing rarely says “I have a $40,000 renovation starting in March.” They say “love this, how much would something like this cost,” and then wait.

Industry benchmarks for visually driven service businesses put first-response time on social inquiries at several hours during the day, longer overnight. A studio owner answering between site visits and client meetings cannot close that gap reliably.

Matching is the next problem. A studio’s strongest sales tool is its own past work. But finding the right three photos to send, the ones closest to what this person actually asked about, takes time a designer does not have between calls. The easy answer is a generic “here’s our Instagram, take a look.” That loses the specificity that actually books a consultation.

Qualification often never happens at all. Style, room count, rough budget and timeline decide whether a project fits the studio’s capacity and price point. Asking these questions by text, for every single inquiry, is tedious. Most studios skip straight to a call instead, and find the mismatch twenty minutes into a free consultation.

There is a quieter problem too, visible only over months. Without a record of what each inquiry asked for, a studio cannot tell which style, room type or price range actually brings in signed projects. The same handful of portfolio pieces get reused for every outreach post, because nobody has the data to know which ones are doing the convincing.

The agent we build for design studios

The agent reads every inbound Instagram DM and WhatsApp message, and treats a new inquiry the way a well-trained studio coordinator would. It asks what the client is imagining: style, which rooms, roughly what budget, when they want to start. Then it pulls matching pieces from your actual portfolio by style and project type. Nobody gets the same three photos as everyone else.

It answers from your real pricing structure and process: how a project typically starts, what a consultation covers, rough timelines for a kitchen versus a full apartment. When an inquiry is ready, the agent checks the studio’s calendar and books a consultation slot directly.

Some things stay with the designer on purpose: a firm price for a specific project, a negotiation on scope. The agent hands those off with the full conversation attached, so nobody has to ask what the client was originally looking for a second time.

Typical integrations: the Instagram and WhatsApp APIs for the channels, and a portfolio tagged by style and room type as the agent’s lookup source. For booking, that is Google Calendar or the studio’s own tool. For smaller studios, amoCRM, HubSpot or a Google Sheets pipeline.

Every conversation gets logged with the style, room type and budget range the inquiry mentioned. The studio finally has a real record of what its audience is asking for, not a guess about which posts do well. Over a few months that record usually shows which project types are worth featuring more. That is useful input for the studio’s own content choices, beyond the agent itself.

Two to three weeks, step by step

1. Audit of real inquiries. We read a sample of your actual Instagram and WhatsApp conversations. We map which questions come up, what a good answer looks like, and where leads currently go quiet.
2. Playbook. Qualification questions, pricing and process answers, and what the agent may and may not promise, written with the studio’s lead designer and reviewed before any code.
3. Portfolio tagging and build. Your portfolio gets tagged by style and project type so the agent can match it to inquiries. Then we build and test it on recorded real conversations.
4. Launch with guards. Rate limits per channel, a review queue for anything about firm pricing, full conversation logging from day one.
5. Tuning. Two weeks of reviewing real conversations with the studio, adjusting the script and the portfolio matching.

What it costs

Running cost is separate and usually $20 to $100 a month in model usage for a studio’s typical inquiry volume, with a budget cap set before launch.

What usually moves after launch

Industry benchmarks for visual, consultation-led services treat response speed and portfolio relevance as the two biggest levers on whether an inquiry turns into a booked consultation. Cutting response time from hours to minutes typically lifts consultation bookings by 20 to 35 percent. Sending work that actually matches the inquiry’s style usually raises the share of consultations that turn into a signed project.

These are typical ranges reported across design and other portfolio-led services, not a promise. A studio’s price point and local market move the number. Our own numbers sit in the case studies below. A seven-channel sales agent with a detailed multi-channel playbook is in the AI sales agent case study. A five-language real estate site built around the same lead-capture logic is in the Montenegro real estate site case study.

Why work with us

We build these agents the way we build our own. A closed list of tools. Portfolio and pricing checked against your real data on every answer. A person approves anything that touches a firm quote. The price is fixed once we agree the plan. You get a working demo every week during the build, and the conversation logs and any CRM access stay in your name.

If inquiries sit unanswered after a site visit or over a weekend, that gap is costing consultations every week. Pair this with paid acquisition on the Meta Ads for interior design studios page. See the full package breakdown on the AI agents service page, or get a written plan with a fixed price for your studio.