Personal analysis or Orbit.
One verifiable evidence foundation.

Which starting point fits?

• APersonal analysisFor your own question, a specific subject and a verifiable result. Team roles or organizational data are not required.Open analysis
• OOrbit · Organizational and system workspaceFor clearly scoped organizational and system questions in an authorized workspace. Access and available features are checked after sign-in.Open Orbit workspaces

From a question to your first verifiable result

The request remains editable until you approve the start. Clicking an example, signing in or choosing a plan does not start an analysis.

1. 01

   Question and subject

   Write your own question or choose one of six editable example requests.

2. 02

   Scope

   Review the analysis area, subject, baseline, region and time horizon, and correct them if needed.

3. 03

   Approval to start

   View the evidence framework, execution depth and maximum unit budget. Only explicit confirmation starts the run.

4. 04

   Review the result

   Read stored sources, source status, assumptions, data gaps and limits separately wherever the result contains them.

5. 05

   Continue working

   Ask follow-up questions and save or export supported dossier versions only after subject-matter review.

Six editable starting points

These cover five analysis areas plus open-ended analysis. The following texts are explicitly example requests, not completed results or customer data. Each area uses its own result structure.

• 01Work · Nursing on a hospital wardExample request: “Which everyday ward tasks can AI usefully assist nurses with, which controls remain necessary, and what is not currently supported by robust evidence?“
• 02Education · Business informatics through 2035Example request: “How should a business informatics degree program change by 2035? Separate evidenced requirements, assumptions, data gaps and specific curriculum options.“
• 03Organization · Service operations in a medium-sized companyExample request: “Which service processes in a medium-sized company are suitable for AI assistance? Show dependencies, controls, reversible pilot options and unresolved evidence gaps.“
• 04Product & Technology · Comparing AI assistant productsExample request: “Compare AI assistants by capabilities, integration effort, evidence, privacy boundaries and operational risks. Explicitly withhold differences that are not supported by evidence.“
• 05Country & Systems · Digital public administration in GermanyExample request: “Which dependencies, bottlenecks and early indicators shape digital public administration in Germany through 2035? Develop scenarios, not forecast probabilities.“
• 06Open-ended analysis · Weigh options against evidenceExample request: “Assess this decision in a short evidence brief: which facts are supported, which information comes from me, which assumptions remain open and which next step is reversible?“

Organize related analyses in a workspace

Orbit begins with purpose, system boundaries and authorization. After sign-in, the workspace shows only the features enabled for that access context.

1. 01

   Define the workspace

   Define the purpose, system boundary, permitted data and responsible organization.

2. 02

   Check access

   Check sign-in, authorization and the features actually enabled for the workspace.

3. 03

   First system question

   Ask an organizational, scenario or system question and confirm permissions and the unit limit before starting.

4. 04

   Review together

   Examine sources, counterevidence, assumptions, conflicts, uncertainty and withheld statements to the extent they are stored in the result.

5. 05

   Keep decisions accountable

   Use only the steps actually enabled in the workspace; the substantive decision remains with people.

Open Orbit workspaces →Read Orbit help →

Before analysis, purchase or organizational access

• 01Methodology and evidenceStatement types, source binding, uncertainty and review status.
• 02Pricing and unitsCurrent features, included units and cost rules before a run.
• 03PrivacyProcessing, legal bases, retention periods and data subject rights.
• 04AI transparencyDeployment limits, human oversight and uses that are not intended.
• 05Occupation dataReview the published taxonomy, tasks and source mappings.
• 06Help and supportGetting started, safe troubleshooting and the support channel.