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

The problem in interior design studios

A design studio’s inquiries arrive the way its work is discovered: through 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 and overnight when nobody is watching the inbox, and a studio owner answering between site visits and client meetings cannot close that gap reliably.

The second problem is matching. A design studio’s strongest sales tool is its own past work, but finding the right three photos to send - the ones closest to what this specific person is asking about - takes time a designer does not have between calls, so the easy answer is a generic “here’s our Instagram, take a look,” which loses the specificity that actually convinces someone to book a consultation.

The third is qualification that never happens at all. Style, room count, rough budget and timeline decide whether a project fits the studio’s capacity and price point, but asking these questions by text, consistently, for every inquiry, is tedious enough that most studios skip straight to “let’s hop on a call” and find out the mismatch twenty minutes into a free consultation.

A fourth, quieter problem shows up over months rather than in any single conversation: without a record of what each inquiry actually asked for, a studio cannot tell which style of work, which room type, or which price range brings in the inquiries that turn into signed projects. The same handful of portfolio pieces get reused for every outreach post, because nobody has the data to know which ones are actually doing the convincing.

What we build for interior design studios

An AI agent that reads every inbound Instagram DM and WhatsApp message and treats a new inquiry the same way a well-trained studio coordinator would. It asks what the client is imagining - style, which rooms, roughly what budget range, when they want to start - and pulls matching pieces from your actual portfolio by style and project type, rather than sending the same three photos to everyone.

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, and what information the studio needs before it can scope anything properly. When an inquiry is ready, the agent checks the studio’s calendar and books a consultation slot directly. When someone asks something the agent should not answer on its own - a firm price for a specific project, a negotiation on scope - it hands off to the designer with the full conversation attached, so nobody has to ask “what were you originally looking for” a second time.

Typical integrations: Instagram Messaging API and WhatsApp Business API for the two channels studios rely on most, a portfolio tagged by style and room type as the agent’s lookup source, Google Calendar or the studio’s booking tool for consultations, and amoCRM, HubSpot or a Google Sheets pipeline for smaller studios.

Every conversation gets logged with the style, room type and budget range the inquiry mentioned, so the studio finally has a real record of what its audience is actually asking for, not just a feeling about which posts “do well.” Over a few months that record usually shows which project types are worth featuring more and which price range the studio’s actual pipeline sits in, which is useful input for the studio’s own content and portfolio decisions even outside the agent itself.

How it works in 2 to 3 weeks

1. Audit of real inquiries. We read a sample of your actual Instagram and WhatsApp conversations and 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, 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 the agent is built and tested 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 and 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.

Typical results

Industry benchmarks for visual, consultation-led services put 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 in the 20 to 35 percent range, and 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, since a studio’s price point and local market move the number. Our own numbers are in the case studies linked below: a seven-channel multi-channel sales agent with a 3,665-line playbook is detailed in the AI sales agent case study, and a five-language real estate site built around the same lead-capture logic is in the Montenegro real estate site case study.

Why Senator Media

We build these agents the way we build our own: a closed list of tools, a portfolio and pricing structure checked against your real data on every answer, and a human approving anything that touches a firm quote. The price is fixed once the plan is agreed, you get a working demo every week during the build, and the conversation logs and any CRM access stay in your name. We have built the same kind of multi-channel qualification logic for other visually driven and relationship-led businesses before, so the playbook format and the guardrails are not a first attempt, they are a refinement of something already running in production elsewhere.

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.