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Echoing Chandak, independent consultant David Linthicum said enterprises continue to grapple with deployment drift, incident response, compliance checks, and root-cause analysis across increasingly fragmented data and AI estates.
Those challenges, echoed Victor Coimbra, CTO of IT consulting firm Artefact, are compounded by the emergence of agentic coding tools that accelerate the development of assets, such as machine learning pipelines and models that need “babysitting.”
That maintenance burden carries a significant productivity cost, said Robert Kramer, managing partner at KramerERP, noting that activities such as managing infrastructure, deployment environments, support processes, and operational workflows consume time without directly creating business value.
