Data basis
Every AI application works with your data and your knowledge, so the introduction starts with the data foundation.
Sources, meaning and quality of the data your use case needs.
AI Implementation
Goal:Introduce AI sensibly
You select AI according to your own business goals, so applications, models, data and existing systems work together in everyday operations.
You receive an AI system landscape tailored to your company that your employees use in their daily work, because selection, set-up and enablement are planned together.
What we stand for
We are convinced that mid-sized companies should select and deploy AI according to their own business goals, rather than building up a loose collection of individual tools. The value comes when AI applications, models, data and existing systems work together in everyday operations. Companies need to be able to assess quality, costs and dependencies in order to shape their AI system landscape deliberately.
Typical starting point
You want to use AI in your company in a targeted way. The first licences are in place, and your departments have specific applications in mind. But which AI systems suit your tasks? Which can be connected to your data and existing applications? And what costs and dependencies arise in ongoing operation? Individual tools do not yet answer these questions.
Architecture
Together with you, we put together a tech stack (the interplay of AI applications, models, data connections and operating infrastructure). The starting point is your business goals, use cases and existing systems.
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We clarify your business goals, use cases and existing systems and check which applications and licences can already be used.
Example: AI for checking incoming invoices
Outcome
You receive an AI system landscape tailored to your company, made up of selected AI applications, models, data connections and operating infrastructure. This includes the agreed set-up and integration, a coordinated permissions concept, rules of use, clear responsibilities and practical training. We support operation, ongoing quality checks and further development to the agreed extent.
Building blocks
Every AI application works with your data and your knowledge, so the introduction starts with the data foundation.
Sources, meaning and quality of the data your use case needs.
AI tools, integrated into your workflows and existing systems.
Your existing systems and licences form the starting point, so we only add what the use case additionally needs.
Your team uses the solution confidently and develops it further.
Effective AI needs reliable data, clear business rules and people who use it confidently.
Application
We plan operation and further development from the outset, so the solution remains manageable after launch. You receive an operating model with defined responsibilities, support services and reporting lines. Beforehand, we agree which tasks your team takes over after handover and where datadice provides support.
Benefit and effort are measured against an agreed metric, so you can assess the investment before approval. Before the start, we set a metric and a target value with you, for example the processing time per incoming invoice.
AI Implementation
Selecting and introducing the right AI tools
A coordinated AI system landscape with usage rules instead of a loose collection of tools. Vendor choice, hosting location and switching options are made transparent.
See the exampleInternal AI Assistant
Research and proposal preparation with an internal AI assistant
An AI assistant for agreed tasks, connected to approved company sources, with documented access rules.
See the exampleProcess Automation
Checking incoming invoices, with approval staying with people
An automated process with documented rules and monitoring. After go-live we measure the same metric again: you see the effect in your own numbers.
See the exampleAn objection we often hear
„We already have AI licences and an IT partner.“
The strategy workshop is one day on site at a fixed price of €3,900 net, including preparation, travel and follow-up. The initial consultation before it is free.
No. The results are available to you for further implementation, including with a partner of your choice.
We clarify this in the initial consultation for your specific project, ideally together with your IT management and your data protection officer.
Operation and further development are agreed services with clear responsibilities. You decide which tasks your team takes on.
Your existing systems and licences form the starting point, so we only add what the use case additionally needs.
Getting started
Which tasks should AI take on in your company, and how well do your current tools fit the data and workflows they require?
In the initial consultation, we discuss your goals, the intended use cases and how you use AI so far. It is free of charge and ends with a short playbook. The current-state analysis in the strategy workshop then clarifies which prerequisites are in place and which steps are needed for selection and introduction.
Starting point:Strategy workshop with current-state analysis