MIA

A premium brand with 50+ products and an audience that wants expert dialogue, not 'available with a discount'. The team was losing time on the same questions — where's my order, what should I take, for which skin. A site with a large catalog where visitors left without choosing. Leads slipping away at night and on weekends.

We built MIA — a separate voice for the brand. Not a 'bot,' but a persona that answers in 2 seconds, walks the customer from the first question to the cart, and knows every product deeper than most managers.

One voice across three channels. Telegram, web quiz, and any free text outside the script — one persona, one tone, one memory everywhere. The customer writes in TG, continues on the site — MIA remembers the context.

Three languages natively. Ukrainian, Russian, English with auto-detection from the message. No machine translation and no calques — the brand voice sounds equally premium in every language.

Support that does not lose leads. MIA replies in 2 seconds, 24/7, handling 80%+ of requests on her own — order info, shipping, returns. A manager steps in only when a human is truly required.

Quiz as a salesperson. Eight questions become a personal bundle of 2–4 products with reasoning. One click — cart assembled, promo applied. Quiz-to-purchase conversion runs many times higher than a static catalog.

Discounts no longer leak. Under pressure 'give me 30%', MIA does not cave: she offers one promo by brand rules or explains the premium positioning. The margin is protected.

The brand owns the voice and the data. Not a subscription to someone else's SaaS that rents out your voice. Code, database, dialog history — all on the brand's side. Decide to evolve further — the material is yours, not the vendor's.

Vendor-portable stack. When our LLM provider's billing died, we moved MIA to another provider in one working day. The customers never noticed. That is what 'production-grade' means — the system is not tied to one company that can raise prices tomorrow or shut down.

Every dialog is an asset. All customer conversations accumulate in a secure database. In half a year to a year, that becomes a dataset on which the model can be tuned even more precisely to the brand. Every month MIA works — she gets smarter specifically about this brand.

Instagram Direct and WhatsApp — so that customers living in IG and WA do not have to leave for the site. Email channel — so the same MIA with the same tone answers support@. Photo diagnostic — the customer sends a selfie, MIA gives a visual recommendation (we do not store the image, it streams).

Each step is added iteratively, on top of the same persona and the same data. The brand is not building 'yet another bot' — it expands an already-working system. That is what accumulating compound looks like: every month the AI understands the brand better and serves a higher-value customer.

MIA is the first production case. The format repeats for skincare, dental, nutri, hospitality, luxury wine, fashion, wellness, premium real estate. The bigger the brand, the more expensive one lost lead — and the faster this AI pays back.

Discovery sprint — two weeks, €3,500, fix. We look at your numbers — revenue, AOV, support load, site conversion — and tell you straight: pays back or not. The amount is credited toward build if we go forward.