Not a proof of concept that stays on a laptop, but working software people use daily and that gives your teams time back.
Our solutions are custom-built, but not from scratch. We work with reusable components configured per client, which shortens delivery time and reduces cost without locking you into a standard product that almost fits.
At mental healthcare provider De Hoop, our solutions process 5,600 client registrations per year automatically, saving roughly thirty minutes per registration. For email registration, over 95% of incoming email is logged into the EHR automatically, with a staff member always seeing what is about to be recorded before anything is stored.
An AI assistant also connects the EHR to e-health platforms and shows clinicians a personalised top five or top ten of matching modules at the moment the care plan is written. Outside healthcare, a strategy engagement at an engineering firm identified opportunities for thirty percent faster proposals and twenty-five percent higher engineering efficiency.
We build on leading Microsoft technology in GDPR-compliant configurations, and use frontier models such as GPT-4o, Claude and Gemini where they add value. Which model sits under the hood is an implementation choice; we make sure you are not locked into it.
At every step with clinical, financial or legal weight we keep human review in the loop. That is not a brake on automation but the condition under which automation is actually accepted and used.
The questions that come up most before we start building.
Custom, assembled from reusable components. That means the solution fits your process exactly, while you do not pay for reinventing parts we already have.
No. We build on top of existing systems. For browser-based EHRs we work with a digital assistant delivered as a browser extension, so your vendor has to build nothing and you are not dependent on their schedule.
We use frontier models such as GPT-4o, Claude and Gemini running on GDPR-compliant Microsoft infrastructure. Model choice is an implementation detail we make per application, and we design so that you are not locked into a single vendor.
By building inside existing screens rather than beside them, by developing with users rather than for them, and by keeping human review on the steps where people want to keep it. Adoption is a design variable, not a communications exercise afterwards.
AI systems degrade when nobody watches them. Our AI maintenance covers monitoring, optimisation, security and scalability, so the time saved is still there next year.
Describe it in a free consultation. We will tell you honestly whether AI makes the difference here or whether something simpler fits better.