Guidelines deserve better
than a PDF.
Distribution
Standards bodies release guidelines as PDFs. Distribution happens through email, websites, or conferences. No version control. No notification system. No way to know who follows what.
Interpretation
Each organization interprets guidelines manually. Two teams in the same field may follow the same guideline differently. Neither knows. Neither can measure it.
Institutional memory
Organizational knowledge lives in people, not systems. When someone retires, changes position, or is absent for a week - knowledge walks out the door. New staff have no structured path to competence.
DeOS - Department
Operations System
An operations system for organizations. It connects established guidelines with daily workflow: who does what, when, and why.
DeOS transforms guidelines from passive documents into active, executable models. Decision logic becomes deterministic tables. Workflows become visible processes with clear ownership. Everything is versioned, traceable, and auditable.
No sensitive data required. No IT approval process. No technical expertise needed. DeOS operates alongside existing systems - ready to deploy from day one.
What DMN gives that PDF cannot.
| DMN | ||
|---|---|---|
| Executable logic | "Cases over threshold X follow procedure Y" | IF value > X THEN route = "Y" - testable, runnable, verifiable. |
| Automatic diff | Read 47 pages. Find the changes yourself. | git diff v1.0..v2.0 shows exactly which rules changed. |
| Impact analysis | Manual review across teams. | Run new DMN against your data: "312 cases would have routed differently." |
| Update tracking | You track changes yourself. | Notified automatically. Adopt when ready. |
| Traceability | Who interpreted it? When? How? | Full version history: author, date, verification status, audit trail. |
Build once. Use everywhere. Maintain always.
One model,
three lenses.
The same process, seen through three open standards. BPMN is the structure, DMN the decisions, BPSim the resources. Switch between them - one model, not three documents.
Users see a simple wizard, not these diagrams - this is the engine underneath.
Watch. Diff. Review. Merge.
Updates are never pushed. You adopt them on your own terms, with full visibility into what changed and what it means for you.
The DMN Library is a versioned collection of established sources transformed into executable decision models. Each entry carries declared dependencies, verification status, and a full change history. When a standards body updates a source, the Library provides the structured diff - users subscribe, review, and merge on their own schedule.
A standards body updates a source. You are notified automatically. No email chains. No missed updates.
See exactly what changed. Which rules. Which values. Which thresholds moved. Side by side, old versus new.
Run an impact analysis against your own data. How many cases are affected? What changes operationally? Discuss with your team.
You actively merge the update. Only then does it take effect. No silent changes. No automatic pushes. You decide.
ETHOS is not a slogan.
It is how we build.
No hidden logic.
Every decision rule can be opened, read, and understood. If you cannot see how a decision was made, it is not a decision - it is a guess.
Source to action.
Every rule traces to its origin - author, version, publication date, verification status. No rules without provenance. If it has no source, it does not exist in our system.
Decisions are assets.
A decision is not something that "just happens." It is modeled, versioned, tested, owned. Treated as a first-class operational resource - like a building or a patent.
No lock-in. Ever.
BPMN. DMN. FHIR. Only open standards. You can leave us and take everything with you. Your data, your models, your decisions. Exported, portable, yours.
Standardized solutions.
Every layer built on international foundations. ISO/IEC 19510 (BPMN), OMG DMN 1.3, ISO 15489, ISO 15836, ISO 33001, ITIL 4.
Machine assists. Always.
The human decides. AI accelerates and assists, but the base system is 100% human-driven. All automation is opt-in. The manual path is never blocked.
Three roles. One system.
Know what to do next.
See the source as a step-by-step flow. Do not know it is DMN under the hood. Do not need to. Experience it as clarity: the right action, at the right time, with the right context.
Effortless compliance.
See adherence, onboarding quality, institutional knowledge. New staff follow the flow from day one. The organization's expertise is in the system, not in the heads of individuals.
Impact, measured.
See which organizations use their sources, which version they follow, and receive structured feedback. For the first time: a closed loop from publication to practice.
Others sell the fishing rod.
We bring the fish.
We do not sell a platform and walk away. We come to your organization, model the workflow, integrate the sources, train the staff - and offer to maintain it, or teach you to do it yourself.
| WHAT OTHERS DO | WHAT WE DO | |
|---|---|---|
| Delivery model | "Here is a platform. Model it yourself." | We come to your organization and model it with you. |
| Domain knowledge | Software expertise | Domain and technical. Practitioners who build their own systems. |
| Sources | Your responsibility | We track, transform, validate, version, and notify. |
| Maintenance | Your responsibility | We train your staff - or maintain it for you. |
| Sensitive data | Usually required | None. Zero GDPR exposure. No IT approval needed. |
| Vendor lock-in | Proprietary formats | Open standards. Export everything. Leave anytime. |
| Deployment | Months of integration | Operational from day one. No infrastructure required. |
Humans build.
Machines assist.
Everything is auditable.
We are not an AI company. We are a company that believes intelligence should be auditable. DeOS enables teams to take complex processes and make them simple - structured pathways anyone can follow, verify, and trust. At every step, AI can accelerate and assist. But the human remains in control, and every decision can be traced, verified, and audited.
"For us, THIS is what AI should be."
Built in Denmark. Already modeling pathways with a Danish surgical department.
Auditable Intelligence