What digital employees do in real operations.
Concrete projects and use cases from support, finance, operations, product AI, and structured interviews. The pages show task, context, boundaries, and handoffs, not invented efficiency figures.
Discuss projectFive examples of controlled AI systems.
The examples show how a digital employee or an AI system is defined: with task, data context, rights, handovers and clear boundaries.
Finn in the finance process
A digital finance employee who checks invoices, reconciles data and passes discrepancies to humans with context.
View caseEva in the operations process
A digital operations employee that prepares recurring internal records and enables clear handovers.
View caseSam in the support process
A digital support employee that structures requests, uses knowledge sources, and prepares responses for approval.
View caseAI Sleep Coach for sleep²
An in-product AI system that generates tens of thousands of Sleep Analysis Cards every day in more than 15 languages and follows the Sleep2 glossary.
View caseKolloqo for IRC Consult
An AI interview system that makes structured interviews more dialogic and prepares answers for questionnaire processes.
View caseNo case study is a license to automate blindly.
The recurring structure matters more than the industry: clear input, known data, a defined task, traceable output, and a handover when the digital employee should not make the decision.
That is why these pages deliberately avoid unverified efficiency figures. Where numbers or impact promises are not approved, they stay out.
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