Automatic coffee machine A
Ceramic grinder · 2.2 l tank
AI Assistants
Help customers clarify their needs, compare products or services and take the next step. We connect approved company data, business rules and permitted integrations, with defined action and approval boundaries.
Hi! I'm Sara, the store's assistant. I can help you choose and check availability. What are you looking for?
I need a coffee machine for our office. There are 10 of us.
Sure. Beans or capsules? And what budget do you have to start with?
Beans, up to €700.
Data from the store system · 2 matching products
I have two options for a 10-person office. Both grind fresh beans and have a large water tank.
Automatic coffee machine A
Ceramic grinder · 2.2 l tank
Automatic coffee machine B
Two bean hoppers · 2.5 l tank
I'll take the first one. Can you prepare the order?
Done. I've prepared the cart. You confirm the order after reviewing the summary.
Cart awaiting your approval
1 item · €649
Where it fits
We design assistants around a defined customer process: clarifying a need, comparing options and helping the customer take the next step. The scope is agreed for your business.
Help customers compare catalog items, assemble compatible sets and review alternatives using approved product data.
Collect requirements, help select a service or solution and prepare a qualified enquiry for your team.
Use approved service knowledge to clarify a problem and suggest the next step, or pass the case to an employee.
Separate from the system for employees: a customer-facing assistant receives only the data and actions approved for its role, not internal employee permissions.
The customer journey
The conversation is the interface. Product logic, company rules and permitted integrations determine what the assistant can offer and do.
Ask for the requirements and constraints that matter to this choice, without collecting unrelated information.
Find products or services in approved sources, explain differences and identify missing information.
Retrieve prices, availability and terms from the connected company systems. Missing or failed checks must not become invented answers.
Present the selection for review. Depending on the agreed integration, continue to a cart, enquiry or employee. Purchases and other consequential actions require the defined approval.
Architecture and boundaries
We separate conversation, product selection, business rules, authorized data sources and action execution. An integration does not grant unrestricted access.
A bounded domain does not eliminate model errors. We define evaluation cases, fallback behaviour and reviewable records for the agreed scope.
Scope of implementation
These are implementation scopes, not a promise that every assistant performs transactions.
Answers from approved company knowledge, with source references and a defined response when evidence is missing.
Clarifies needs, compares options and helps select a product or service within your offer and rules.
Connects the conversation to permitted actions in company systems, subject to access checks, validation and approval.
Before launch
We begin with a bounded process and representative data. Integrations and acceptance criteria are agreed before implementation.
Specify the catalog, knowledge sources, supported questions and exclusions. The assistant does not answer as a general-purpose AI.
Agree any catalog, CRM, calendar, cart or API integration separately, including who may read or change each resource.
Test selection quality, unsupported requests, stale data, unavailable integrations and approval requirements. Agree records and employee handover.
Often called sales chatbots, these systems are defined here by their process, data and action boundaries. Payment remains with the agreed store or payment system.