AI services

Two ways to buy

Practical AI training. Your team learns to use AI in its own work: a ready-made, repeatable structure and exercises on your own material. Training pays for itself on its own, with no follow-on project needed. See the training.

A significant implementation project. Order handling, quote preparation, management reporting or another significant work process, from design to go-live. The first phase is paid design and scoping as part of the implementation, not a separate assessment product. See automation and implementation.

Beyond these two, you can also order bounded services from us, marketing material or finance automation for example, once the need is already clear.

Capabilities implementations are built from

An implementation project combines the following capabilities as needed. They aren’t separately purchased steps, they’re building blocks chosen to fit the task.

Connections to your systems. System connections cut down on copying data between places. AI fetches the data it needs from agreed systems with scoped permissions.

Repetitive work turned into automation. Automation and agents prepare orders, quotes, product data and reports, for example. We agree in advance what the system does and where a person checks the result.

Numbers to support decisions. Data platform and reporting brings data sources and calculation rules together. You can see where the numbers come from and when they were last updated.

Finance automation and audit. Finance automation and audit processes bank statements, purchase invoices and their reconciliation to the books. Audit for a board is one use case among others.

Marketing from plan to materials. AI images and advertising creative help produce campaigns. AI in marketing brings planning, production and measurement together into one shared way of working.

A bounded solution for e-commerce. AI services for e-commerce focus on pricing, product data and profitability.

Regardless of industry

The processes were created in an e-commerce environment, but the rule is the same in every industry: repetitive manual work gets replaced by AI, and a person checks the result. In manufacturing that means quoting and product data, in a service company client correspondence and reporting, in wholesale price lists and order handling, in an accounting firm classifying and reconciling vouchers. The method is the same: find the bottleneck, connect AI to the right data, check the result before production.

What you own in every service

Code in your own repository, keys on your own accounts, documentation in your hands. Model usage is billed directly to your account with no middleman. Maintenance is an option, not a condition. If we part ways, the system stays and keeps working.

What we don’t promise

We always tell you where AI doesn’t fit today. We don’t promise a ready-made connection to a system that has none. We don’t promise your data stays in a particular country unless the route guarantees it. We don’t give an agent write access without scoping and your approval. We don’t quote percentage savings we haven’t measured in your company. Every service page has its own “What we don’t promise” section.

How we do it ourselves

Every method is battle-tested in our own companies and across several lines of business before we offer it to anyone. See what we run every day.