Neat AI

How AI helps spirits brands and the venues that pour them.

Neat AI sets up AI tools for spirits brands, importers and distributors, and for hotels, restaurants and bars. Each tool works from the brand’s or venue’s own materials — specs, serves, sell sheets, menus, SOPs — and is handed over so your team owns it.

It does not replace staff. It takes the repeat questions and first drafts, and when it is not sure, it hands off to a person.

01 · Spirits brands, importers and distributors

How it helps brands.

This part is for brand managers, sales and commercial leads, and brand ambassadors. The common problems are familiar: trade follow-up falls through, reps and distributors tell the brand story in different ways, and ambassador content takes time to write.

The work comes from the trade side of the bar. Andreas has run bars on the World’s 50 Best lists, and has worked on brand advocacy and RTD and white-label products.

Trade Sales Assistant

After the visit

A rep leaves a tasting with notes in their head and three more accounts to see. By the evening, half the detail is gone.

The assistant turns a quick voice note or a few typed lines into account notes and a visit or tasting recap. It drafts the follow-up email and reminds the rep when an account is due to reorder. The rep checks it and sends it.

What it uses: your own account list, price lists and product information. What it changes: follow-ups go out the same week, and the next rep to visit an account knows what was said.

Brand Knowledge Copilot

Answers from your own materials

A distributor rep is standing at a bar and gets asked for the spec of the signature serve, or the case price for a new size. Today that is a text to the brand manager and a wait.

The copilot answers from your specs, signature serves, brand story, sell sheets and price lists. Reps, distributors and bartenders ask in plain words and get the brand’s own answer. If the answer is not in your materials, it says so and points them to a person.

What it changes: fewer repeat questions to the brand team, and the same story told the same way in every market.

Advocacy Content Engine

Drafts for ambassadors

Ambassadors write the same kinds of things every week: activation briefs, menu serves for an account, social captions, event recaps.

The engine drafts these in the brand’s voice, from your brand guidelines, serves and past approved content. The ambassador edits and approves. Nothing is posted on its own.

What it changes: less time on first drafts, and copy that stays on brand across ambassadors and markets.

Distributor & Account Comms

Inbox and DMs, sorted

Trade inquiries arrive everywhere: the general inbox, Instagram DMs, a distributor’s forwarded email. Some sit for days because nobody knows whose they are.

This module reads incoming messages, sorts them and routes each one to the right person: a sample request to the local rep, a listing question to sales, a press note to the brand team. Simple questions get a draft reply from your materials.

What it changes: fewer missed trade inquiries, and a clear owner for each message.

Market Readout

Once a week, short

A short weekly report built from what the other modules see: what accounts asked, what reps needed to look up, and where sell-through is stalling.

It is written to be read in a few minutes. The point is to show the brand team where the story, the materials or the follow-up need work.

An example: a spirits brand

Anonymous

A rep-facing copilot answers serve and spec questions from the brand’s own materials, and tasting follow-ups go out automatically after each visit.

02 · Hotels, restaurants and bars

How it helps venues.

For venues, the same idea applies to guests and staff. A guest DMs at midnight to ask whether a dish has nuts. A new bartender needs the house spec for a martini. The answers already exist; the tools put them where people ask.

Guest Communication

The inbox, answered

Most rooms lose guests in the gap between a message and a reply. Hours, menus, amenities, dietary notes, “are you open on Monday” — the questions are predictable, and the answers already exist in someone’s head or a buried PDF.

Guest Communication answers those questions on the channels guests already use, in the house voice, from your own menus, hours and allergen notes. A complaint, a VIP or anything it is unsure of goes to a person. It does not guess on allergens.

What it changes: guests get an answer at midnight, and staff stop typing the same reply.

Booking & Inquiry

Holds, routes, follow-ups

A table for six on Saturday, a private dining request, a room-plus-dinner package. When the reply is slow, the guest often books elsewhere, and nobody records why.

This module captures the request, routes it to the right desk, and follows up on holds. It works alongside your reservations system, not instead of it. What it changes: fewer inquiries lost between channels.

Staff Knowledge Copilot

Specs at the shoulder

The best bartender on the team is also the wiki. Specs, allergen notes, 86s, the way this house builds a martini — it lives in one person’s head until that person calls out.

The copilot is trained on your specs, SOPs, and standards, not a generic cocktail encyclopedia. New hires get the house answer, not a guess. It is the same instinct as a spec book, built for a phone in the well rather than a binder in the office.

Hotel Upsell

One timely suggestion

Guests tend to ignore banner offers. A useful suggestion is timed to the stay: a dinner table when they have none, a late checkout when the flight is late, a note from the bar that reads like the concierge wrote it.

Hotel Upsell works from your real inventory and your voice. It suggests once and does not repeat itself. If the front desk could not stand behind an offer, it does not go out.

Loyalty & Feedback

Before the review

A short message after a stay or a visit asks how it went. It gives the team a chance to hear about a problem while it can still be fixed, and to notice when a regular stops coming.

This is not a points program. It is a disciplined follow-up: who came, what they asked, whether they would come back, and who on the floor should know.

Analytics

A GM can read it in five minutes

What guests asked. What staff needed to look up. Where the menu and the service fall short. The report is short on purpose: a weekly readout rather than a dashboard.

Analytics is only useful if it changes a decision: a spec that confuses the team, a question the website should already answer, a day-part that is quietly dying. The numbers sit next to the floor, not above it.

An example: a boutique hotel

A concierge inbox that passes complaints and VIPs to a person, and sends timed upsell suggestions.

An example: a cocktail bar

An Instagram DM guest bot that answers common questions and hands the conversation to a person when needed.

How it works

Four steps.

1. Your materials

We gather what you already have: specs, serves, sell sheets, menus, SOPs, price lists, past messages.

2. Build

The tool is set up on those materials, in your voice, inside the channels your team already uses where possible.

3. Test with your team

Your people use it and flag wrong or off-voice answers before guests or accounts see it.

4. Hand-off and monitoring

You get the documentation and own the system. With Monthly Care, it is tuned and updated as your materials change.

How to work with us

Four ways in.

1. Start free

The Bartender’s AI Prompt Book, a free set of prompts to try on your own. Get the free Prompt Book.

2. AI Audit & Roadmap

Two weeks. We map channels, SOPs, repeat questions and the sales flow, and deliver a prioritized build plan.

3. Launch Build

Fixed scope, trained on your materials, handed over with documentation. Typically 4–8 weeks.

4. Monthly Care

Ongoing tuning, content updates and a weekly readout.

Every engagement is fixed-scope. Price is in the proposal, before you sign.

The method is on the approach page. Beverage work still lives on services.

FAQ

Straight answers.

Is this a product we log into?

It is a practice, not a boxed app. We design, train, and hand over systems that sit in the tools you already use — or specify new ones when the current stack cannot carry the work. The proposal names the stack before you sign.

Do we have to buy beverage consulting to get Neat AI?

No. They are separate engagements. They pair well — an existing spec book or brand deck is the best training set for a copilot — but either practice can stand alone.

Will it invent answers?

That is the failure mode we design against. The system is constrained to your materials and is told to escalate when it does not know. A made-up spec, serve or price is not an acceptable miss — and neither are hallucinated hours or allergens.

Who is this for?

Spirits brands, importers and distributors: brand managers, sales leads and ambassadors who need trade follow-up, specs and the brand story told the same way every time. Then hotels, restaurants and bars that want consistent answers for guests and staff, where a GM or beverage director is tired of repeating the same answers. If the standards are not written down, we start there.

Next step

Questions about your own brand or venue?

A short call is the easiest way to talk through your channels, your team and your materials, and whether any of this would help. Prefer email? sani@drinksbyneat.com.