The knowledge assistant on your own documents first, with AI advice and three applications we build. The emphasis is on the knowledge assistant, because that is where most organisations get stuck and where the most time is to be gained.
“Why do this now instead of waiting until our supplier delivers it?”
Sometimes waiting is the right choice. Weigh this: what a supplier delivers, he delivers to all his clients at once, therefore generically, and it works on his arrangement of permissions and not on yours. For a general knowledge base that is fine. For the moment when departments with different permissions have to draw on the same system, it is usually the problem.
Flagship
An example of what we measure before anything goes into production. The same measurement points apply in the Azure tenant and in the offline variant.
besst.ai has to answer well, and also know well when not to answer.
The problem
Five points. Skip one and you get a demo that convinces and a service nobody trusts.
What someone may not read, they may not get to see through an answer either.
Every answer points to the document and the passage it came from.
A withdrawn regulation or an old version must not come back as current.
If the answer is not in your documents, the system says so instead of inventing something.
Email, SharePoint, the case system and the network drive answer together, not five halves.
“How do you solve that?”
We show that in your own environment, on your own documents. Not on a website.
A language model can be bought anywhere. What makes the difference is everything around it: guidance through the choices, setup in your own environment, control over what goes in, testing before it goes into use, management once it runs, and knowledge of the organisational context it has to work in. That is what the services below are about.
From first exploration to a supported course and a board that knows what it is saying yes to. We translate AI into decisions a management team or council can take: what it delivers, what it costs, what risk it carries and in what order.
Relevant when: support at board level is needed before anything gets built, or when initiatives are already running that nobody has an overview of.
Forms, contracts and scans read automatically, classified and passed on to the system where they belong.
Relevant when: mail or forms arrive daily that are currently retyped by hand.
From raw data to overview, forecast and decision support, with the reporting your board asks for.
Relevant when: the figures exist but sit in four systems and every report is manual work.
Workflows that read, assess and pass on by themselves, with a human at the point where a human should decide.
Relevant when: a process mainly consists of moving something from one system to another.
Two runtime environments. In an Azure tenant we work with Azure OpenAI, Azure AI Search, Azure AI Document Intelligence, Azure Machine Learning, Microsoft Fabric, Power BI, Azure Functions, Azure Logic Apps, Power Automate, Microsoft Entra and Azure Static Web Apps. Infrastructure as code with Bicep, deployment through Azure DevOps.
Offline, the same setup runs on your own hardware with open-weight models. There it uses no cloud services and no Microsoft products.
An exploratory conversation of one hour usually gives a clear picture. Get in touch and we will schedule it.
We show it in your own environment. Without internet too, on a laptop at your table.
besst.ai. Your documents answer questions. Only for those allowed to see them.