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AI is quietly restructuring the governance, risk, and compliance function from a deadline-chased, evidence-collection grind into something closer to a standing risk advisory practice. Writing for ETCISO, Sprinto co-founder Raghuveer Kancherla argues that by 2026, continuous automated monitoring has largely displaced the audit-cycle fire drill, shifting GRC professionals from manual execution toward calibrating AI outputs, translating risk signals for business leaders, and embedding compliance upstream in product and contract decisions. The headcount story is not replacement but redistribution of where judgment sits.
What this means for your business
The CISO whose compliance team still runs on spreadsheet evidence-collection and quarterly audit sprints is not just inefficient, they’re now measurably slower than a peer organization that has automated that layer. The competitive gap in GRC is no longer about how many auditors you have but whether your team spends its hours on the work AI can’t do, reviewing edge cases, advising engineering on control design, and explaining risk trade-offs to a board that doesn’t read control matrices. If your team’s calendar is still dominated by evidence uploads and questionnaire drafting, that’s diagnostic information about where you sit on this curve.
Kancherla’s framing is directionally correct, but his timeline deserves scrutiny. He’s a founder selling compliance automation software, which pulls the argument toward an optimistic adoption curve and undersells the real friction: regulated industries where auditors still require human-attested evidence, AI systems that produce confident but wrong control mappings, and legal exposure when a compliance decision informed by a hallucinated AI output gets challenged in court. “Calibrating trust in AI outputs” sounds clean as a job description. In practice, it requires your GRC staff to develop enough technical fluency to know when the model is confabulating, a capability most teams haven’t built and most hiring pipelines aren’t yet screening for.
The leading indicator worth watching is where your next GRC hire comes from. If the role description still centers on audit experience and control documentation, you’re hiring for the function that automation is absorbing. Organizations moving ahead of this are writing job descriptions that read closer to data analyst plus risk communicator than traditional compliance officer. That’s the version of the role that survives the next two hiring cycles, and if your current team can’t grow into it, the renewal conversation isn’t about your compliance platform, it’s about your talent strategy inside the function you already own.
Based on reporting from How AI is Transforming Governance, Risk, and Compliance (GRC) Roles, ETCISO, originally published 2026-08-24 22:30:00.
