AI agents are reshaping SaaS platforms by combining human oversight, trusted workflows, contextual intelligence, and measurable automation across publishing and education.
How Structured Content and Smart Submission Reduce Author Burden and Make Manuscripts Review-Ready Sooner.
Stop asking, “Was AI used?” Start asking, “Why should I trust this research?” The scholarly record needs visible accountability, not invisible assumptions of good faith.
Discover five key lessons for publishers navigating AI-driven discovery, licensing and monetization, and learn how to prepare for the future of scholarly publishing.
Why AI detection alone isn't enough for research integrity. Discover how publishers can build a multi-signal trust architecture that scales.
AI can speed up reading, checking, and summarising—and automate parts of publishing. But peer review runs on trust. That needs people, policy, and accountability.
AI isn't replacing scholarly publishing professionals; it's transforming the skills, roles, and workflows that define the industry.
Hong Zhou posits that the future of knowledge publishing will not be determined by AI alone. It will be shaped by the choices we make now.
In this conversation, Adrian Stanley speaks with Victoria Pittman and José Fossi about their recent AI summary pilot.
