What generative AI means for the future of employee grievances

Generative AI has quietly worked its way into some of HR’s most sensitive processes, including employee grievances. Self-reported AI use among UK businesses has almost tripled in under three years, rising from around 12% to around 35% since late 2023. While 61% of UK organisations now permit generative AI use at work, only 31% have a formal policy governing its use. 

That policy gap is becoming a burgeoning issue for HR teams. Many organisations have seen an increase in grievances written using AI in the previous year. Where a complaint might once have been a short, plainly worded email, HR teams are now increasingly receiving multi-page documents peppered with legal terminology, statutory references and a level of formality that can feel at odds with the everyday workplace issues at the centre of the complaint. 

There may be opportunities with this development – AI may help people structure concerns they would otherwise struggle to express. But it does change what lands on HR’s desk, and it means rethinking how grievances are handled, investigated and resolved to ensure a fair and proportionate response.  

AI is reshaping the anatomy of a complaint 

Length and tone are the most obvious shifts in AI-assisted grievances. A prompt describing a difficult conversation with a manager can come back as a multi-page structured argument, which cites legislation or legal concepts that may have little bearing on the actual issue. This can make the grievance unnecessarily hard to differentiate between the issue at hand and AI overstatement. It can also mislead – AI tools are prone to hallucinations, and can often cite the wrong law or describe internal policies inaccurately, all while sounding entirely authoritative. 

The practical effect is that the substance of a grievance, what happened and why the employee is unhappy about it, can get buried under lengthy, repetitive or unnecessary detail and citation. The operational impact is immense – most HR teams now identify overly complex or exaggerated grievances as a challenge, alongside the greater length of claims and the additional time needed to understand them.  

Cutting through the noise 

When faced with a lengthy grievance written in formal, legalistic language, the temptation is to respond in a similar way. Many managers understandably feel they need to match length with length, and address every point raised. That’s often not the right approach and it isn’t what a fair process requires. 

A more useful starting point is often to ask the employee to explain in their own words, face to face, what their grievance is and what outcome they’re looking for. This does two things. It helps to uncover the core concern, which is usually much narrower than the written grievance suggests, and helps to focus the process on resolution rather than documentation. 

It’s also worth treating any legal references in the document with a degree of caution. Where legal points genuinely need addressing, take appropriate steps, but there’s no obligation to respond line by line to every assertion an AI tool has generated. Because employees may not fully review the output produced on their behalf, it can be useful to check, sensitively, that they understand, recognise and stand behind the matters raised. This is not a test of whether AI was used, but a way to keep the process anchored in the employee’s own experience. 

Keeping grievance handling fit for purpose 

None of this changes what good grievance handling looks like. Employers still need to listen, investigate and reach a reasoned outcome focused on the substance of the complaint rather than every individual point in a grievance document. 

What does need attention is the supporting framework. Grievance policies and employee handbooks can usefully set an expectation that concerns are best understood, and resolved, when employees describe them in their own words. The aim isn’t to discourage AI use, but to help people recognise that clear, focused grievances help get to a fair outcome faster. 

Used carefully, AI can also be of benefit to employers, for example, summarising the core themes of a densely worded grievance. But it should support, not substitute for, human judgement. Using AI responsibly includes checking summaries against the original grievance and ensuring that the responsible manager – not AI – owns the conclusions. Prompts as well as outputs may become part of the record in a subsequent dispute or data subject access request, so they should be written with the same care and professionalism as the final document. 

There’s also a data protection dimension worth addressing head-on. IT and acceptable use policies should set out clear rules on entering confidential workplace information and personal data into AI tools, whether public or workplace-based. Employees drafting grievances and managers handling them may not always appreciate what information they’re sharing and how it is being processed. 

The fundamentals haven’t moved 

It’s tempting to treat AI-generated grievances as a fundamentally new problem. In reality, they’re new packaging around a familiar HR task: understanding what has happened, investigating fairly and deciding what should follow. The organisations best placed to respond will neither reject AI-assisted complaints nor defer to their apparent sophistication. They will create processes that cut through unnecessary details from noise while keeping the employee’s own concerns at the centre.  

That calls for more than a one-off policy update. Managers need the confidence to clarify concerns early, challenge inaccurate material without dismissing the complaint, and use AI responsibly on the employer side.  

As generative AI becomes a normal part of workplace communication, the differentiator will not be whether AI is used in the grievance process, but whether the organisation can keep the process human, proportionate and trustworthy when it does.