AI Has Entered Employee Relations: How Employers Can Effectively Manage AI-Assisted Grievances, Complaints and Employee Queries

Last month we explored how employees are increasingly using Artificial Intelligence (AI) to draft grievances, complaints, appeals and workplace queries.

For many employers, that article resonated because the reality is already appearing in workplaces. Managers and HR teams are seeing longer submissions, more legal terminology and increasingly sophisticated challenges to management decisions.

The next question is obvious: What should employers do when AI becomes part of the employee relations landscape?

The answer is not to fight the technology. The answer is to adapt.

The Challenge Isn’t AI

One of the biggest mistakes employers make is assuming the problem is the employee’s use of AI.

In reality, AI is simply a tool.

The real challenge arises when managers become overwhelmed by the volume, complexity or tone of AI-assisted correspondence and lose sight of the underlying workplace issue.

A six-page grievance may ultimately concern a communication breakdown.

A detailed complaint citing multiple pieces of legislation may simply reflect frustration regarding a management decision.

The technology can amplify the presentation of a concern. It does not necessarily change the substance of the concern.

The employer’s role remains the same: identify the issue, determine the appropriate process and respond fairly.

Why Traditional Approaches Can Struggle

Many employee relations procedures were designed for a world where concerns were raised through relatively straightforward conversations or short written communications.

AI has changed that dynamic.

Employees can now generate:

• Highly detailed grievances.
• Complex allegations of bullying or victimisation.
• Lengthy promotion appeals.
• Detailed pay equity queries.
• Extensive data protection requests.
• Sophisticated challenges to disciplinary processes.

Managers often feel pressure to respond to every point raised.

This can create a cycle where:

• The employee submits eight pages.
• Management responds with ten pages.
• The employee replies with twelve pages.
• The process becomes focused on correspondence rather than resolution.

In some organisations, the paperwork begins to overshadow the workplace issue that triggered the concern.

The Importance of Screening

Perhaps the most important skill in managing AI-assisted complaints is effective screening.

Before determining how to respond, organisations should ask several questions:

• What is the employee actually seeking?
• What process applies?
• What outcome is being requested?
• What evidence exists?
• What issues genuinely require investigation?

Not every concern requires a formal grievance process.

Not every disagreement amounts to bullying.

Not every complaint requires an investigator.

The objective is to identify the appropriate pathway early rather than allowing the complexity of the correspondence to dictate the process.

Separating Facts from Assertions

AI tools are particularly effective at generating arguments.

What they cannot do is generate evidence.

This distinction is becoming increasingly important.

Many AI-assisted submissions contain:

• Assumptions presented as facts.
• Conclusions without supporting evidence.
• References to legal concepts.
• Generic allegations.
• Broad assertions regarding fairness.

Employers should focus on identifying:

• What happened?
• When did it happen?
• Who was involved?
• What evidence supports the concern?

Factual issues should drive decision-making, not the sophistication of the language used.

Can Employers Use AI Too?

The short answer is yes.

Many organisations are beginning to use AI to assist with:

• Summarising lengthy complaints.
• Identifying key themes.
• Drafting acknowledgements.
• Organising information.
• Preparing investigation chronologies.
• Used appropriately, AI can help HR teams manage increasing workloads.

However, professional judgement remains essential.

Employers should never rely solely upon AI when making findings, determining credibility or making employment-related decisions.

Those remain human responsibilities.