AI agents
What agents can do, where they fall short and which actions require human approval.
Discuss a project ↗Evidence-led guidance on AI agents, automation, data protection and integrations — for business leaders and teams.
Four areas. One goal: informed, defensible business decisions.
What agents can do, where they fall short and which actions require human approval.
From process discovery to a controlled pilot with measurable success criteria.
Data protection, access control, risks and accountable decisions.
Connecting AI with Microsoft 365, existing data and business software.
Each future article must offer original, verifiable insight — not recycled promotional copy.
Check current developments against primary sources and publication dates.
Explain business implications, limitations, assumptions and practical use cases.
Cross-check key claims, flag risks and disclose supporting sources.
The plan is two original topics per week, each with a German and English edition. Publishing starts only after technical and editorial quality checks.
Discuss a project ↗Note: This initial version is an editorial layout. No automatically researched articles have been published yet.