Beyond breaching privacy: The compliance risks of workplace surveillance

When organizations implement workplace surveillance tools, the conversation often begins with privacy. Questions about employee consent, data collection, retention periods, and legal compliance are essential.

But as workplace monitoring technologies become more sophisticated, focusing exclusively on privacy risks often overlooks a much larger challenge.

For compliance professionals, the more pressing question is not simply whether an organization can monitor employees, but whether it has established the governance framework necessary to do so responsibly.

Today’s workplace surveillance extends far beyond security cameras and access cards. Employers increasingly rely on software that tracks application usage, login activity, internet browsing, location data, badge access, emails, screenshots, and in some cases, AI-generated productivity scores.

These tools are often introduced to protect confidential information and
identify operational inefficiencies. However, the same technologies that strengthen oversight can also create unintended compliance risks if they are implemented without clear governance, transparency, and accountability.

Surveillance extends further than an IT or HR decision

Historically, workplace monitoring was viewed as a shared responsibility between IT and HR: Information Technology teams selected and built the software, and human resources communicated these policies to the employees.

In some cases, legal departments also came into play, with reviewing privacy obligations. Today, however, this approach is no longer significant. Current employee monitoring programs have implications that extend beyond IT and HR, affecting the entire organization. Decisions about what data is collected, how it is analyzed, who has access to it, and how it influences employment decisions all affect an organization’s compliance framework.

Without cross-functional oversight, monitoring initiatives can introduce
governance gaps that expose organizations to legal, regulatory, and reputational risks.

Compliance teams are uniquely positioned to bridge these functions across the workplace. Rather than becoming involved only when concerns arise, they should participate in evaluating these monitoring technologies before implementation, ensuring appropriate controls are established from their first usage.

Trust is key in workplace compliance

To put it simply, every effective compliance program depends on employee trust. Organizations invest significant resources in ethics training, codes of conduct, and internal reporting mechanisms designed to encourage employees to raise concerns without fear of retaliation.

Importantly, these initiatives are only effective when employees believe they can speak openly and that their concerns will be treated fairly — and poorly governed workplace surveillance can undermine that confidence.

Employees who perceive that every digital interaction is monitored may become reluctant to ask sensitive questions, report misconduct, or willingly participate in workplace investigations. Even where monitoring is lawful and transparently disclosed, overly intrusive practices can support the perception that surveillance exists to police employees, rather than protect the organization.

More times than not, the response to these changes is subtle. Employees may simply choose to remain silent, as they may not feel supported in raising their concerns in a fair, open, and understanding environment.

For compliance professionals, that silence represents risk; an organization cannot address misconduct that employees are unwilling to report. Over time, employees’ reluctance can weaken internal reporting channels and leave compliance teams
with a distorted view of what is actually happening within the organization.

Artificial Intelligence raises new governance concerns

Artificial Intelligence (AI) has transformed workplace monitoring from passive data collection into active decision support. Many modern platforms do far more than record employee activity: They identify behavioral patterns, generate productivity metrics, flag perceived performance issues, and even recommend managerial action based on its automated analysis.

While these capacities offer operational benefits, they also introduce questions about
governance that extend beyond privacy compliance. What data is being collected? How are productivity scores calculated? Has the organization evaluated whether the models used produce reliable and unbiased outcomes? Are automated recommendations reviewed by decision-makers before they influence significant employment actions?

AI-based systems often appear objective because they rely on data. In reality, however, automated outputs are only as reliable as the assumptions built into the models, and the quality of the information they analyze. Strong governance requires organizations to treat AI-generated insight as only one source of suggested information, not as unquestionable facts.

Discretion is valuable, and is absolutely necessary when AI comes into play in the decision-making process.

Documentation matters as much as technology

Organizations frequently devote considerable attention to selecting monitoring software, while giving far less thought to documenting how it will be governed. This imbalance creates unnecessary risk and is often the major weak point in improperly governed AI software.

Compliance leaders should ensure monitoring programs are supported by clearly documented policies that define the legitimate business purpose behind data collection, identify who may access monitored information, establish retention records, and specify how monitoring data may be used in workplace investigations or employment decisions.

Consistency is equally as important. Monitoring practices that are applied unevenly across departments or employee groups may invite allegations of unfair treatment, discrimination, or retaliation. Even where no misconduct has occurred, inconsistent governance makes it more difficult to demonstrate that monitoring practices were implemented fairly and objectively.

Well-documented governance frameworks provide valuable evidence that monitoring decisions were thoughtful, proportionate, and aligned with organizational objectives.

Governance should exist beyond implementation

Introducing a monitoring program is only the beginning of the governance process. Technology evolves rapidly, and periodic reassessment is key when dealing with new software capabilities, AI enhancements, regulatory developments, and changing workplace expectations.

Compliance leaders should regularly ask:
● Does this monitoring still serve a legitimate business purpose?
● Are we collecting more information than we need?
● Have new AI features changed how employee data is analyzed?
● Are managers using monitoring data consistently?
● Could our monitoring practices discourage employees from reporting concerns

These questions shift workplace surveillance from a one-time technology decision to an ongoing compliance responsibility. By consistently checking in with the software, its governance, and what data is accessible by surveillance, compliance teams can ensure that their framework remains effective.

Looking past privacy

Privacy compliance remains an essential foundation of every workplace surveillance program, but it should not define the limits of organizational thinking. Employee monitoring influences workplace culture, ethical decision-making, and organizational trust.

As organizations continue adopting AI-powered monitoring technologies, compliance
professionals have an opportunity to shape how these tools are deployed. By embedding transparency, accountability, documentation, and cross-functional oversight into surveillance programs, organizations can reduce risk while also strengthening the integrity of their compliance frameworks.

Ultimately, the most effective monitoring programs are not those that collect the most
information. Instead, they are the ones that demonstrate the strongest governance. In an environment where technology continues to evolve faster than workplace norms, responsible oversight will determine whether employee monitoring supports compliance, or quietly undermines it.

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Danijela Obradovic is a founding partner at Roberts & Obradovic Law, and an employment lawyer who represents employees across Canada.

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