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    For businesses that sell technical products

    Your customers ask what they need.
    Your team works it out by hand, every time.

    Sentara AI builds the AI sales engineer that works it out instead. It asks the right questions, checks the answer against your real catalogue and your technical rules, and builds the quote or the basket.

    In production at flue-pipes.com.

    An AI sales engineer for products people cannot pick on their own.

    It is not a chatbot with your website pasted in. It is a system with your rules and your products inside it, and it says no when the answer is no.

    1

    The customer answers one question at a time

    Mostly by tapping a choice or typing a measurement, with pictures and a helper on every question. They can also attach a photo or a sketch; the assistant reads it and asks them to confirm what it saw.

    2

    It asks what your best salesperson would ask

    Only the questions that change the answer, in the order that makes sense, worded the same way every time.

    3

    Your rules decide, not the model

    Regulations, manufacturer instructions and your own house rules are written down and enforced in code. The AI runs the conversation. If a request breaks a rule, it says no and explains which one instead of guessing.

    4

    It picks only from your catalogue

    A synced copy of your active products, refreshed every few minutes. The AI cannot enter a product code itself, and parts are chosen only in combinations that fit together.

    5

    It builds the basket

    Every part and every quantity, saved with the whole conversation attached.

    6

    Nothing reaches your customer until your staff approve it

    A person checks every basket. They can change quantities, add items, ask the customer a question, or reject it with a reason. On approval the customer gets a link that loads the basket into your shop's cart, and pays there. The assistant never takes payment.

    7

    It hands off when it should

    If a customer asks for a person or seems frustrated, your staff take over the chat. If it cannot build a basket, a person quotes it by hand and the customer still gets the normal confirmation.

    A real test conversation on flue-pipes.com, shortened

    Sentara AI

    Are you fitting into an existing brick chimney, or do you need a new flue system?

    Customer

    New flue system

    Sentara AI

    Where will the new flue run?

    Customer

    Internal

    Sentara AI

    Great, let's design the flue that runs inside the house and out through the roof. What flue size does your stove need?

    Customer

    5 inch (125mm)

    Sentara AI

    Our team will review your specification and send your basket link to name@example.com by email. We'll also post it here in the chat if you're still on the website, so you won't miss it either way.

    Basket, first parts shown

    • Roof support
    • Straight length 1000mm with locking band
    • Single to twin wall adapter

    Your basket is being reviewed and will be with you shortly.

    Your team stays in control.

    The assistant comes with an admin dashboard. It is where your staff approve baskets, step into a chat and see how the assistant is doing.

    Live today for flue-pipes.com.

    Live chats

    Active conversations at a glance, with a flag when a customer needs a person. Staff can take over, use saved replies, and hand the chat back to the AI.

    Basket approval

    The customer's notes and the basket side by side. Staff change quantities, add items, ask the customer a question, or approve or reject with a reason.

    Conversation history

    Every conversation, searchable and filterable, with tags, CSV export and a GDPR anonymise action.

    Analytics

    How many chats the assistant had, how many baskets went out, how quickly baskets are approved, and how often staff had to edit or reject one. Switch between 7 days, 30 days, 90 days and 12 months. It counts real customer chats only, test chats are never included.

    Alerts

    Browser and phone notifications for new chats, plus emails for new baskets and for customers asking for a person.

    Branded for your company

    The chat and the dashboard are styled to fit your company: colours, logo, name and wording follow your brand.

    Watch the dashboard in use

    Sample data. The customers, conversations and analytics figures in this video are made up for the demo.

    Built for businesses that sell complex technical products.

    If your customers ask "which one do I need?" and the honest answer starts with "it depends", this is for you. Online shops, trade counters, distributors, and manufacturers with dealer networks.

    Flue, stoves and heating

    HVAC and ventilation

    Plumbing and electrical supplies

    Building materials and roofing

    Industrial parts and machinery

    Lab and measurement equipment

    Live today in flue and chimney. Built for any catalogue that has rules behind it.

    Live at flue-pipes.com

    Sentara AI runs live on flue-pipes.com, where customers configure a complete flue system in one conversation and the shop's staff approve the basket before it reaches them.

    See it live on flue-pipes.com

    Opens in a new tab. Accept the shop's cookie notice to see the assistant.

    Regulations and manufacturer instructions encoded as rules, not left to the model to remember

    Every configuration evaluated against real customer cases before and after launch

    Runs on the shop's own pages and hands the basket to the shop's own checkout

    Who builds it is who you talk to.

    Sentara AI is a German company. Whoever designs your system also writes down your rules with you, runs the evaluations and answers the phone. You will not be handed to an account manager.

    Design, build, evaluation and operation stay in one place. Nothing is subcontracted.

    A small first step, then a pilot, then production.

    No price list, because no two catalogues are the same. Every step has a written scope and a written price before it starts.

    Fit call

    Free, 30 to 45 minutes

    We look at your catalogue and how a quote happens today. If it is not a fit, we say so.

    Feasibility and design

    Where the rules are complex

    A short paid piece of work to map the rules and the data before anyone commits to a build.

    Pilot

    Typically from around 5,000 EUR

    One product family or one use case, live with real customers, evaluated against real cases.

    Production

    Typically from around 10,000 EUR

    Integration with your shop or quoting system, all product families, evaluation before launch.

    Operations

    From around 1,000 EUR a month

    Monitoring, catalogue and rule updates, regular evaluations, and a person who knows your system.

    Questions people ask before a fit call

    Short answers. The long ones are what the call is for.

    Live today on Magento. Other shops and quoting tools are integrated per project, and the feasibility step establishes what that takes.

    Yes. The chat and the dashboard are styled to match your company when we set them up: colours, logo, name and wording. That is part of the build for each client, not a settings screen you configure yourself.

    It reads a synced copy of your active products, refreshed every few minutes, so a discontinued product is not offered. Prices come from your shop at checkout. New product families need their rules added, which is part of the monthly operations work.

    If a customer asks for a person, or seems frustrated, your staff take over the chat with the whole conversation attached. If it cannot build a basket, a person quotes it by hand and the customer still gets the normal confirmation. It is built to refuse to guess: a wrong part is a safety problem or a returns problem, never an acceptable answer.

    It declines a request that breaks a regulation and explains which one, for example a flue offset that is too large for its height. It also refuses unsafe situations, such as a stove in an unpartitioned garage with a petrol vehicle, or any work through an asbestos roof, and tells the customer what has to happen first.

    The rules come from regulations, manufacturer instructions and your own policies, agreed with you before launch and tested against real cases. Responsibilities are set out in the agreement, and the system hands off to a person rather than guess.

    It is live on one shop, flue-pipes.com, in UK English, with a small number of real customer conversations so far. A German or US version is not live yet.

    The database and back end are in the EU. The AI model (Anthropic) and the front-end hosting (Netlify) are in the United States, under Standard Contractual Clauses. The full list is on the subprocessors page. Sentara AI is the data processor for your customers' conversations and signs a data processing agreement with you.

    A pilot on one product family is typically live within a few weeks of the rules being agreed. A full catalogue depends on how many product families and rules there are, which the feasibility step establishes.

    Pilots typically start around 5,000 EUR and cover one product family or one use case, live with real customers, with the rules written down and evaluated against real cases. Full production implementations start around 10,000 EUR and depend on the size of the catalogue. You get a written quote after the fit call.

    Monitoring, model and prompt updates, catalogue and rule changes, regular evaluations against real conversations, and a person who knows your system. From around 1,000 EUR a month depending on scope.

    No. You need someone who knows the products and the rules, usually your best salesperson or technical buyer, for a few hours during setup. We handle the technical side.

    We read every message and reply within two working days. If it looks like a fit we book a 30 to 45 minute call. If it does not, we will say so and, where we can, point you somewhere useful.

    Ready to stop working it out by hand?

    Tell us what your customers keep asking you. After one call you will know whether it is a fit.

    Get in touch

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