RecordPoint named in Forrester AI governance landscape

RecordPoint has been named in Forrester Research's Responsible AI Solutions Landscape for the second quarter of 2026, underscoring growing analyst focus on AI governance in regulated industries.

The Sydney-headquartered company said the listing reflects demand for systems that help organisations manage data and AI use under tighter compliance requirements. RecordPoint works with government agencies, banks and regulators that need oversight of how information is classified, accessed and used.

Its software is designed to govern data and AI systems across existing technology environments, allowing customers to apply policies, monitor information use and maintain audit records without moving large volumes of data into new systems.

The issue has become more prominent as businesses deploy AI tools while facing questions over data quality, access rights and regulatory exposure. In sectors such as financial services and government, those concerns can carry operational and legal consequences.

"Responsible AI is an immediate operational requirement. Organisations are deploying AI now, and many are doing so without a clear view of what data those systems are touching, how it's classified, or whether it's being used appropriately. That's a significant liability," said Anthony Woodward, Chief Executive Officer, RecordPoint.

RecordPoint says its platform processes more than 15 million data transactions each day and manages nearly four billion records worldwide. Its customers include the City of New York, Westpac, NAB, Macquarie and Australian regulators APRA and ASIC.

In Victoria, about 80 per cent of government departments use its products to manage information, according to the company. That gives RecordPoint a notable foothold in the public sector as governments weigh how to introduce AI systems while keeping records management and privacy controls in place.

Growth period

The recognition comes during a broader expansion phase for the business. RecordPoint recently increased its footprint across Victorian government departments and acquired Redactive, an AI startup focused on sensitive data discovery and permissions assurance.

The deal adds technology designed to identify sensitive information and check who can access it. Combined with RecordPoint's existing records and data governance tools, the acquisition broadens its reach across data classification, access control, compliance reporting and information disposal.

Founded in 2009, RecordPoint has built its business around records management and information governance for organisations with strict compliance obligations. As AI adoption spreads, vendors in that segment increasingly argue that governance and data controls should be treated as a prerequisite rather than an administrative afterthought.

Analyst attention to the sector has widened as companies look for ways to show that AI systems rely on accurate, authorised and traceable information. That has increased the prominence of providers that can demonstrate data lineage, policy enforcement and auditable decision-making processes.

Woodward said the pace of customer adoption reflects a shift in how organisations view the relationship between AI and information management. He argued that companies moving quickly with AI are often those that first established stronger controls over their underlying data.

"We talk a lot about AI's potential, but not enough about what needs to happen before you can realise it. AI thrives on discernible, organised, governed data. Without that foundation, even the best models will return unreliable outputs, expose sensitive information, or in the worst case fall foul of regulators," he said.

"The organisations moving fastest with AI are the ones that got their data house in order first. That's what this recognition is really about. The governance layer is no longer optional," he said.