Information governance is entering a new phase. AI adoption, cyber risk and regulatory scrutiny are forcing organisations to confront weaknesses in how information is structured, managed and governed.
For many organisations, information management has historically been treated as something that simply needed to be “good enough”. As long as systems functioned, documents could be found when needed and compliance obligations were broadly met, deeper governance questions were often postponed.
In 2026, that tolerance is disappearing.
Public failures, regulatory scrutiny, and the rapid adoption of artificial intelligence are placing information governance under a new level of pressure. Weak practices that once remained hidden within systems and processes are becoming visible, and the consequences are harder to ignore.
Across government and industry, organisations are beginning to recognise that information governance is not administrative overhead. It is an enterprise framework that aligns corporate approaches in the management of information assets, supporting effective decision-making, compliance, and organisational resilience.
Here are six developments we expect to shape the information management landscape this year.
1. Information governance gains more attention in the executive risk conversation
Boards and executive teams are increasingly recognising that poor information practices can create significant organisational risk.
High-profile incidents in recent years have demonstrated how quickly issues relating to records, data governance and information access can escalate into legal, regulatory and reputational consequences. As a result, governance of information assets is moving into the same category of oversight as financial controls, cybersecurity and regulatory compliance.
Information governance issues are gaining more attention in enterprise risk discussions at executive and board level.
2. AI exposes information quality problems
The rapid integration of artificial intelligence into everyday business tools is forcing organisations to confront the quality of their information environments.
AI systems operate at scale. When underlying information is poorly structured, inconsistently classified or poorly governed, those weaknesses are amplified. Inconsistent metadata, unmanaged content and unclear information ownership quickly become visible when automated systems begin interacting with large volumes of organisational information.
Organisations implementing AI are therefore discovering that successful adoption depends heavily on the quality and governance of their information foundations. This is why AI governance frameworks are becoming an essential component of responsible AI adoption.
3. Microsoft 365 governance becomes essential
Many organisations have adopted Microsoft 365 as a core collaboration platform. However, the governance frameworks required to manage the information generated within these environments have often lagged behind the technology rollout.
Organisations are increasingly recognising the importance of governance frameworks for Microsoft 365 environments, particularly across SharePoint, Teams and OneDrive where large volumes of organisationalinformation are created.
Instead of relying on surface-level configuration, organisations will need to ensure that governance principles are embedded into how these environments are structured and used.
4. Information governance and cybersecurity continue to converge
The relationship between information governance and cybersecurity is becoming increasingly clear.
Effective classification, access controls, retention management and disposal practices all play a role in reducing organisational exposure during cyber incidents or data breaches. When organisations understand what information they hold, where it resides and who has access to it, they are far better positioned to respond to security events.
As a result, collaboration between information management, security and privacy teams is becoming more common, with governance practices recognised as a critical component of broader risk management strategies.
5. Bridging the divide between information and data
For many years, organisations have treated structured data and unstructured information as separate domains.
However, as analytics, automation and artificial intelligence become more central to organisational operations, that separation is becoming less practical. Valuable insights often emerge from combining structured datasets with the context contained within documents, records and other information assets.
Bridging this divide requires closer collaboration between data specialists and information management professionals. Aligning governance approaches across these domains allows organisations to manage their information assets more strategically and derive greater value from them.
6. Information management becomes more strategic
The role of information and records management professionals is also evolving.
Rather than focusing primarily on operational management tasks, practitioners are increasingly contributing to organisational strategy. This includes advising on policy development, designing trusted information environments, supporting risk-based governance approaches and working closely with privacy, cybersecurity and digital transformation teams.
As information becomes central to organisational decision-making and regulatory accountability, the strategic contribution of these roles will continue to grow.
The end of “good enough”
For organisations that have treated information governance as a secondary concern, the environment is changing quickly.
Regulators, executives and evolving technology applications are all placing greater emphasis on the integrity, accessibility and governance of information assets. What once passed as “good enough” is becoming increasingly difficult to sustain.
In many organisations, 2026 will be the year that information governance moves from a supporting role to a visible and essential part of how the organisation operates.
Understanding your information governance maturity
If your organisation is beginning to assess how well its information environment supports AI, risk management and regulatory obligations, a structured review can provide a useful starting point.
Recordkeeping Innovation works with organisations to assess governance maturity and identify practical steps for strengthening information management frameworks.