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In the enterprise push to operationalize artificial intelligence, context is what separates hype from value. In response, organizations are turning to built-in continuous control monitoring to convert speed into return on investment that doesn’t compromise trust. Institutions are raising concerns that innovation might race ahead while audits, risk reviews and customer assurances lag, creating a confidence gap that stalls deployment and mutes profitability. The conversation now is less about whether to use AI and more about how to infuse it with assurances customers and regulators recognize as credible, according to Vanessa Candela, chief legal and trust officer of Celonis SE. With the pace of innovation quickening, some institutions worry that audits, risk reviews and customer assurances may not keep up — raising concerns about a growing confidence gap between development and deployment. The conversation has shifted from whether to use AI to how to infuse it with assurances that customers and regulators recognize as credible, according to Vanessa Candela, chief legal and trust officer of Celonis SE. “I think the future of this … is we want to get to a place where we’re not finding gaps — we’re preventing the gaps from happening,” Candela said. “Process intelligence combined with AI is going to allow us to do that. Think about a world in which … you could find a gap in your compliance process before you go into an audit. Great. You find it right before, you fix it, and then you go into your audit. You certainly don’t want to find it when you’re in an audit — in the middle of that.” Candela spoke with theCUBE Research’s Savannah Peterson and Rob Strechay at Celosphere 25, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed AI, process intelligence and the need for continuous control monitoring to catch critical issues early. (* Disclosure below.) How continuous control monitoring turns velocity into trust Teams must build fluency in risk and security as deliberately as they build features. That shared language, paired with process intelligence from design through build and into production, lets vendors demonstrate controls and earn credibility with customers, Candela explained. “[We’re] educating and enabling our team so they can talk about it in a way that resonates with customers; that builds trust with customers [which] is critically important,” she said. “The way technology is moving right now with AI, it’s so fast. I mean, it’s always been fast, but we are on hyper speed right now.” To this trust-building end, data access is paramount. When organizations free the process, they can use first-party data to choose the right tools, avoid lock-in and scale wins across the business. The next step is predictive control that surfaces issues in flow and fixes them before scrutiny arrives, according to Candela. “‘Oh, wow, we didn’t even see that because we didn’t have process intelligence to know that there was that gap,’” she said. “In the future, when it happens, and it’s going to happen very quickly, you’re going to be in this continuous control monitoring world — where you’re going to see it as it’s happening and fix it long before you’re in the audit world. I think process intelligence is key to that.” Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of Celosphere 25: (* Disclosure: TheCUBE is a paid media partner for Celosphere 25. Neither Celonis, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.) Photo: SiliconANGLE
