Everyone talks AI, nobody talks use cases
The potential is tangible, but it's unclear where AI actually saves time in your processes. What's missing is prioritisation by value, not by novelty.
Service 04
We implement AI in your software and processes – and improve existing AI solutions that don't deliver yet. Pragmatic instead of hype: beforehand we define which data a model may see and how we measure success.
5.0 ★ on Google · Free intro call · 30 min
Typical starting point
The potential is tangible, but it's unclear where AI actually saves time in your processes. What's missing is prioritisation by value, not by novelty.
A pilot or chatbot exists – but answer quality, cost or privacy don't convince. Instead of rebuilding, targeted improvement usually pays off.
Without clear data rules, nobody dares to take AI to production. The question "what may the model see?" needs an answer before the first prompt.
What you get
Assistants, intelligent search and automation directly in your product – where your users already work.
Recurring work automated: analysing documents, triaging emails, triggering workflows – with measurable time savings.
We audit the quality, cost and privacy of your existing setup – and improve it in a targeted way instead of rebuilding.
Before any integration we define which data a model may see – GDPR-compliant, documented, no customer data in third-party models without approval.
How we work
We understand your processes and prioritise use cases by time saved and feasibility.
What may the model see? How do we measure success? Both are settled before development starts.
A scoped pilot shows in black and white what the AI delivers – before you invest broadly.
What works gets rolled out and continuously improved – including training for your team.
FAQ
Usually recurring, text-heavy work with clear rules: analysing documents, triaging inquiries, preparing reports, making knowledge searchable. That's where time savings are measurable – and that's where we start.
Yes – if you plan it that way from the start. We define clear data rules up front, prefer EU options for hosting and make sure no customer data flows into third-party models without approval.
Yes. Many setups don't fail on the idea but on details: poor data foundations, unclear prompts, missing measurement. We audit quality, cost and privacy – and improve where it counts.
No. We integrate AI into your existing systems and processes – regardless of who built them. Where development work is needed, our own team takes it on.
Contact
A short first call, an honest assessment, a clear offer – no long contracts, no overhead.
30 minutes · German or English
We serve clients across DACH, Benelux and internationally – in German and English.
DeLake LTD · Cyprus (EU) · lars@delake.eu