Healthcare

Sensitive data, regulated communication and a volume of inquiries nobody is allowed to leave sitting.

the starting point

Permissions, logging and deletion are the design, not the review at the end.

In healthcare, data protection is not a footnote: health data falls under the special categories of Art. 9 GDPR. Every automation has to be designed with permissions, logging and deletion periods from the start, not after the fact.

Communication is regulated too: what is permitted towards professional audiences is off limits towards patients or relatives. A system that does not know this separation becomes a risk.

Operationally, inquiry volume dominates: appointments, payer questions, product and usage questions. Much of it is standard and ties up people who should be solving complex cases.

If at least one of these points applies, an initial consultation is worthwhile.

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A woman in dark blue scrubs sits behind a dark reception counter with a telephone receiver at her ear, looking at one of two monitors, a green folder lying on the counter.

Companies come to us when…

Inquiries run through shared inboxes with no traceable status.

A nurse types at a wall-mounted workstation in a clinic corridor at night while a doctor beside her holds a tablet in a green cover and looks at her screen.

Companies come to us when…

Professional and patient communication are not separated in the system.

Hands hold a sheet of paper above a laptop keyboard in front of an open filing drawer of grey folders, one green folder standing among them.

Companies come to us when…

Deletion periods exist on paper but are not automated.

A man in a dark blue shirt holds a printed sheet up beside one of two monitors in an office with dark cabinets, a green binder standing in a stack on the desk.

Companies come to us when…

Permissions have grown organically, an audit is coming and evidence is missing.

An empty laboratory bench at night with a dark monitor, a benchtop analyser and a closed laptop under dark wall cabinets, a green stool pushed under the bench.

Companies come to us when…

AI is meant to relieve the load, but nobody can take responsibility for the data processing.

What changes

The platform carries the rules, so people carry the hard cases.

Data protection built in

Permissions, logging and deletion concepts as part of the platform, not an appendix.

Audiences separated

Professionals, patients and relatives are distinguished in the data model, each with matching consent.

Standard inquiries automated

Recurring questions get answered without a person reading them, with escalation when in doubt.

Evidence on demand

Who saw and changed what: an export, not a project, when an audit asks.

the fitting services

Four services that build the rules into the platform.

Four services from the Agentic Growth Stack, picked for what moves first in this industry.

Compliance & Security

Permissions, deletion concepts and evidence maintained in operation.

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Agentic Operating Model

Who owns which agent, what it may do, and when a person takes over.

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AI Governance & Compliance

Approvals and audit trails for AI use, from day one.

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Enterprise CRM Platform

A data model with separated audiences and clean permissions.

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Case Studies

What companies achieve with us.

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Ricoh

+365 %

More conversions through CRM and content.

Dovista

68 %

Of all enquiries automated.

FAQ

Frequently asked questions: Healthcare

Can AI be used in healthcare in a way that complies with data protection?

Yes, but not casually. It needs a legal basis, limited permissions, logging and defined human oversight. We settle that up front in the Agentic Operating Model and enforce it technically in AI Governance & Compliance.

How do you handle health data?

On the principle of processing as little as possible: where a process can work without special categories, it is built that way. Where it cannot, tighter permissions, shorter periods and full logging apply.

Where does the data live?

As a rule, in the EU. Which services are involved and where they process is documented before the project starts, including data processing agreements.

Where do we start?

With an Enterprise Discovery Workshop where data protection and compliance sit at the table from day one.

first step

The first step towards an agent-native company.

In the Enterprise Discovery Workshop we develop a clear target picture and a business case that holds up, in a matter of days. Fixed price, no open-ended day rates.

Smiling man in a dark blue suit in a bright office.

Rather talk first?

We get back to you personally.

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