A customer success manager needs to confirm what was promised to a client. Sales has one version of the agreement, operations has another, and the signed contract is somewhere in the company’s systems. Before anyone can move forward, someone has to determine which document is correct.
The information exists, but the people who need it cannot use it with confidence.
This is one of the practical reasons information governance matters. It affects how employees find information, how decisions get made, and whether departments are working from the same understanding of the business.
Information governance is the set of policies, responsibilities, processes, and controls an organization uses to manage information throughout its lifecycle. It determines how information is created, organized, accessed, protected, retained, and eventually disposed of. It also establishes who owns important information and who is accountable for managing it properly.
For executives, information governance deserves attention because reliable information supports nearly every part of running a business. And as artificial intelligence becomes part of more operating processes, the importance of having accurate, accessible, and properly governed information continues to grow.
Information governance starts with knowing what you have
Most organizations have more information than they realize.
Contracts, customer records, financial reports, employee files, emails, operating procedures, and project documentation are spread across departments and systems. Some information is current and valuable. Some is duplicated, outdated, or no longer needed.
As companies grow, acquire other businesses, or introduce new technology, managing that information consistently becomes more difficult.
A good information governance framework establishes clear expectations for how information should be handled from the moment it enters the organization until it is no longer required.
The Information Governance Implementation Model from ARMA International recognizes that effective governance requires coordination across business functions, including leadership, information technology, security, legal, compliance, and records management.
That coordination matters because information rarely stays within one department.
At Daida, one practical example I have discussed is how we made signed customer contracts accessible through our Mercury platform. Sales, customer success, operations, and executive management all need information from those agreements for different reasons.
Sales needs to understand pricing and terms. Customer success needs to know what was promised. Operations needs the statement of work to understand what the company committed to deliver.
Making that information accessible across the organization helps teams work from the same commitments. Governance provides the additional structure needed to manage that information accurately, securely, and consistently over time.
Why information governance belongs on the executive agenda
Information governance is often viewed as something that belongs to IT, legal, or compliance.
Those departments have important responsibilities, but the consequences of unreliable information affect the entire organization.
A manager delays a decision because two reports contain different numbers. An employee spends an hour searching for a document that should be easy to retrieve. A customer receives conflicting answers because two departments are working from different records.
These situations are often treated as ordinary operating frustrations.
Over time, they create unnecessary work, weaken accountability, and make it harder for employees to deliver consistently.
I have written before about how information integrity affects the way organizations operate. When people cannot trust the information in front of them, they spend more time checking, asking for confirmation, and protecting themselves from avoidable mistakes.
That hesitation affects productivity and decision-making.
There is also a significant risk-management responsibility. Organizations must protect sensitive information, meet applicable legal and regulatory requirements, and maintain important business records according to established retention rules.
Executives do not need to manage every document or understand every technical control. They do need to make sure the organization has clear standards, accountable owners, and the resources necessary to follow them.
Information governance and data governance are connected
Information governance and data governance are often discussed together, and the responsibilities can overlap.
Data governance generally focuses on how data is defined, owned, maintained, protected, and used. For example, a company needs consistent customer information and financial definitions so different departments can produce reliable reports.
Information governance takes a broader view of organizational information, including documents, records, communications, and the responsibilities associated with managing that information throughout its lifecycle.
Consider a customer contract.
Data governance may address the accuracy of the customer details, contract value, renewal date, and other information stored in business systems.
Information governance also addresses the signed agreement itself, which version is authoritative, who can access it, how long it should be retained, and how it should eventually be disposed of.
The exact division of responsibilities will vary by organization. What matters is that the different functions work together and that accountability remains clear when information crosses departmental boundaries.
AI readiness depends on the information behind the technology
Artificial intelligence has made information governance especially relevant to executive leadership.
Organizations are introducing AI into document processing, customer service, internal search, reporting, and decision support. These applications can help employees find information faster, summarize large amounts of content, and reduce repetitive work.
But the usefulness of those systems depends in part on the information available to them.
Imagine an employee using an AI assistant to answer a question about a customer’s agreement.
The system searches a document repository and finds several contracts, including outdated drafts and an amended version. If the organization has not established which agreement is current, the system may produce an answer based on information that should no longer be used.
Now consider the same situation involving confidential customer information or sensitive employee records.
The organization needs to know which information the system is allowed to access, whether those permissions are being enforced, and what happens when an answer is incomplete or incorrect.
These are information governance questions with direct implications for AI readiness.
The NIST AI Risk Management Framework identifies governance as a core responsibility in managing AI risk. It emphasizes defined responsibilities, documentation, ongoing monitoring, and clear accountability throughout the AI lifecycle.
Information governance helps establish the foundation for understanding what information exists, where it came from, who can use it, and how it should be managed.
AI systems still require their own testing, oversight, security controls, and procedures for reviewing important outputs. Reliable source information alone cannot guarantee that an AI-generated answer will be correct.
In my article on the AI oversight gap leaders cannot ignore, I discuss the importance of defining who reviews AI-generated work, who owns the outcome, and what happens when something goes wrong.
Those responsibilities become much harder to manage when the underlying information is already unreliable.
Before expanding AI across the business, executives should understand whether their information is ready to support the work they expect the technology to perform.
Clear ownership makes information governance work
One of the most important decisions leadership can make is identifying who owns the information governance program.
IT manages important parts of the infrastructure. Security teams establish protections. Legal and compliance professionals help define regulatory requirements. Records management specialists guide retention and disposition practices.
But the people closest to the work also need a meaningful role.
Sales understands how customer agreements are created and used. Operations knows which records support service delivery. Finance understands what information supports reporting and financial decisions. Human resources knows which employee information requires protection.
Each function contributes knowledge that the others may not have.
Effective governance brings those perspectives together under consistent expectations and clear executive sponsorship.
Senior leadership should establish priorities, assign accountability, provide resources, and make sure disagreements about information ownership or handling can be resolved.
Someone also needs responsibility for reviewing whether the program is working and identifying where standards are being followed inconsistently.
Without that structure, departments may develop separate policies that make sense individually but create confusion when information moves between teams.
Good governance should make everyday work easier
A successful information governance program should improve the way people work.
Employees should know where approved information lives, how to identify the current version, and whom to contact when something is missing or incorrect.
Managers should be able to make decisions using information they trust. Teams should have appropriate access without relying on informal workarounds. Important records should be protected and retained according to the organization’s requirements.
This connects closely to knowledge management.
In my article about the signs of a knowledge management problem, I discuss how repeated questions, duplicated work, outdated documentation, and dependence on experienced employees can reveal deeper operating issues.
Information governance helps address some of those conditions by establishing responsibility for how information is maintained, protected, and used.
The practical test is whether employees can follow the process without creating unnecessary work around it.
A company may have detailed document management policies, but if employees still need to search multiple systems and contact several people to determine which file is correct, those policies are not delivering the intended result.
Governance needs to fit the way information actually moves through the business.
Where executives should start
I would encourage executives to begin with a business process where information problems are already creating frustration or risk.
There is no reason to start by attempting to reorganize every document and record across the entire company.
Choose a high-value area, such as customer contracts, financial reporting, employee records, or information supporting an important AI application.
Bring together the people responsible for creating, managing, protecting, and using that information.
Then ask a few practical questions:
- What information does this process depend on, and where is it stored?
- Who owns the information and is responsible for its accuracy?
- Can employees reliably identify the current approved version?
- Who should have access, and how are those permissions managed?
- What retention requirements apply, and how is information disposed of when appropriate?
- What happens when information is missing, incorrect, or accessed inappropriately?
The answers will often reveal weaknesses employees have learned to work around.
Some organizations may discover that information is scattered across too many systems. Others may find that ownership is unclear, outdated documents remain in circulation, or records are being retained without a clear business or legal reason.
The solution depends on the problem.
Daida’s guidance on information governance frameworks for large enterprises outlines an approach that begins with assessment and strategy, followed by policy development, implementation, and ongoing monitoring.
That sequence matters. Leaders need to understand the business problem before selecting technology or creating another policy.
Start with a defined area, establish clear responsibilities, and determine what needs to change. Then measure whether those changes are helping.
Can employees retrieve important records more quickly? Are fewer documents being returned for correction? Are outdated versions being removed from active use? Are sensitive records accessible only to authorized people?
Those are useful signs that governance is becoming part of how the organization operates.
Information governance is an executive responsibility
Information has always been central to running a business. What has changed is how quickly it moves, how many systems hold it, and how easily technology can now retrieve and use it.
AI makes the need for reliable information even more visible.
Organizations want faster decisions, stronger customer experiences, better productivity, and more value from their technology investments. Those outcomes become harder to achieve when employees and systems cannot confidently identify or use the right information.
Information governance provides the policies, ownership, and processes that help organizations manage information responsibly while making it useful to the people who need it.
The executive responsibility is straightforward: establish clear ownership, support the program, and make sure the standards are reflected in daily work.
That does not require every CEO to become an information governance expert.
It requires leadership to recognize information as a business asset and manage it with the same discipline applied to people, finances, customers, and operations.
When employees can find reliable information, understand how it should be used, and trust the processes around it, the entire organization is better positioned to execute.
And as AI becomes part of more business decisions and workflows, that foundation will matter even more.