"For Geitz, IT leaders can get their organisations ready for workflows that may be split between internal staff, external contractors and AI agents by capturing the knowledge using structured data ontologies, to make expertise machine readable. He suggested delegates can then begin to experiment with business models that monetise this expertise on demand, eventually building a platform, where AI agents become the front line for knowledge delivery, supported by humans."
"While artificial intelligence (AI) was certainly the top topic of discussion during Forrester's Technology & Innovation Summit, the conversation appears to have moved on. In preparation for the era of agentic AI, organisations are starting to consider where employees fit; where to use contractors and external service providers; and what tasks should be AI-enabled internally."
"In a blog post to tie in with the event, Forrester research director Mark Moccia wrote about how a third of CIOs will adopt "gig worker protocols", where IT teams comprise AI agents, gig workers and employees with multiple jobs."
Organizations are preparing for agentic AI by rethinking workforce composition and where to deploy employees, contractors and external service providers. A significant portion of CIOs plan to adopt gig worker protocols that blend AI agents, gig workers and employees holding multiple jobs. IT leaders are advised to capture domain expertise using structured data ontologies to make knowledge machine readable. Captured expertise can enable experiments with monetizable, on-demand business models and the creation of platforms where AI agents serve as the frontline for delivering knowledge while humans provide support. Marketing and content production workflows illustrate potential agentic AI use cases.
Read at ComputerWeekly.com
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