Data Analytics Digital Transformation Data governance RecordPoint's data surge as AI drives governance push Wed, 18th Feb 2026 CATHERINE KNOWLES News Editor RecordPoint is processing more than 15 million data transactions a day, up by 9 million over the past six months, as organisations increase their use of artificial intelligence tools. The Sydney-headquartered company says the growth reflects a sharper focus among corporate and government customers on data governance and lifecycle management as they roll out generative AI and automation. RecordPoint works with more than 150 organisations it describes as data-heavy enterprises, and says its platform now manages close to 4 billion records across customer environments. Customer base Its client list includes the City of New York, Cupertino Electric and Delaware Life. In Australia, it counts Westpac, NAB and Macquarie among its banking customers, and works with regulators including APRA and ASIC. Many of these deployments sit in sectors where audit trails and retention rules shape how organisations store, classify and delete information. That has taken on new urgency as businesses explore generative AI systems that rely on access to internal documents and datasets. RecordPoint says customers "defensibly disposed of" 159 million records in 2025, describing defensible disposal as a structured deletion process aligned with policy and regulatory requirements. It linked that activity to estimated operational and risk outcomes: USD $795 million in storage cost savings, USD $4.6 million in search efficiency gains, and USD $3.6 million in compliance risk avoided. AI pressure Chief executive Anthony Woodward said the jump in transaction volumes reflects a shift in why organisations invest in information management. "Initially, RecordPoint's technology was focused on securing data in organisations, with cybersecurity and compliance as the main motivators for staying on top of it." "While that's still the case, corporate and government adoption of AI technologies has seen companies come to us with a new challenge in mind: organising their data in a way that helps them get the best out of AI," Woodward said. He said the quality and structure of data remains a constraint on real-world AI deployments, and pointed to a gap between investment and productivity outcomes, particularly in Australia. "This continues to be the missing piece of the puzzle for many organisations, and one of the key reasons we aren't seeing more from the AI revolution. That's especially the case in Australia, where we've seen significant investment but little in the way of productivity gains," he said. RecordPoint framed this as a governance issue as much as a technical one, pointing to rising volumes of data spread across multiple repositories and cloud services, as well as heightened scrutiny over privacy and regulated records. "AI runs on discernible, organised data. Without this, it's effectively running blind. Even the most well-intentioned agentic solution can't fully automate workflows if the underlying data isn't governed properly," Woodward said. Recent moves RecordPoint has expanded its footprint in the public sector, with more than 80% of Victorian government departments now using its technology to manage and control information. It has also widened its product and corporate development activity, recently launching a free tool aimed at start-ups and small businesses. It acquired Redactive, which it describes as a permissions assurance platform focused on reducing inadvertent data sharing in large organisations. The company has also added to its leadership ranks, with Woodward noting several senior hires over the past year. Looking ahead, RecordPoint says it will focus on governance frameworks for AI deployments, including policies and controls for information used in models and automated workflows. "In 2026, our focus is on enabling safe, governed AI: trustworthy data, transparent policies, and guardrails that help teams ship useful models responsibly. "RecordPoint expects transaction volumes to keep rising as customers expand data governance programmes alongside AI roll-outs. "It wasn't long ago that we were championing 6 million data transactions per day on our platform. It is difficult to predict where this figure will end up by 2027, but it will exponentially more," Woodward said. 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