Das fehlende Element im Produktivitätsversprechen von KI ist organisatorischer Natur. Um das volle Potenzial von KI zu realisieren, müssen Unternehmen Arbeitsabläufe, Rollen und Koordinationsmodelle grundlegend neu denken – ausgerichtet auf eine hybride Zusammenarbeit zwischen Mensch und Agent.
Recent global disruptions demand immediate business agility, yet traditional enterprise software is rigid and slow to adapt. Knowledge workers currently fill this gap manually. Leveraging AI-driven, language-based software empowers these workers to rapidly respond to change, fundamentally enhancing business resilience and responsiveness.
Search liefert Fakten. Planning führt zu Ergebnissen. Es richtet Arbeit an Zielen aus, verbindet Systeme, bewahrt Unternehmenswissen und orchestriert die Ausführung durch Mensch und KI. Das Ergebnis: weniger Reibung, mehr Konsistenz und skalierbare Produktivität.
“Explore how OpenAI’s new o1 model is reshaping AI agentic workflows by advancing reasoning and planning capabilities, bridging traditional methods with the generative power of large language models to tackle real-world challenges.”
“Explore how Interloom’s AI-powered Collective Long-Term Memory transforms traditional documentation by automating knowledge capture across conversations, documents, and workflows, enhancing decision-making and efficiency for businesses.”
“Learn how Interloom’s vision for adaptive automation addresses the limitations of traditional enterprise software by using AI to infer work patterns, capture collective memory, and automate complex processes, setting a new standard for efficiency and flexibility in business operations.”
“Discover how Interloom’s groundbreaking AI platform combines task mining, knowledge graphs, and adaptive automation to tackle the inefficiencies of traditional workflows, offering actionable insights into transforming complex processes like procurement, customer onboarding, and claims processing.”