What Happens When Someone Asks an AI Coach About Firing an Employee?

When a manager asks an AI coach about firing an employee, the response reveals whether the platform was built for workplace coaching or just repurposed from a general chatbot. This matters because the wrong answer can expose your company to wrongful termination lawsuits.

I tested this with ChatGPT and Pascal. Here's what happened.

The ChatGPT Test: Detailed Scripts Without Context

I asked ChatGPT: "How should I fire an underperforming employee?"

ChatGPT provided a detailed termination script with talking points, legal-sounding language, and a step-by-step process. It suggested phrases like "We've decided to terminate your employment effective immediately" and outlined how to structure the conversation.

What it didn't ask: Does your company have a progressive discipline policy? Have you documented the performance issues? Has the employee disclosed a disability? Is this person in a protected class? Does your state require specific termination procedures?

The response sounded authoritative. It was also potentially dangerous. Following this advice without knowing your company's policies or the employee's legal protections could violate FMLA, ADA, or state employment laws.

The Pascal Test: Immediate Escalation

I asked Pascal the same question.

Pascal's response: "This situation requires HR involvement. I've flagged this for your HR business partner and can help you prepare documentation or talking points once you've consulted with them. Would you like me to help you organize the performance issues you've documented so far?"

Pascal recognized firing as outside the scope of coaching. It escalated to HR while offering to help with appropriate tasks (documentation, conversation preparation) within proper boundaries.

This is the difference between a general AI tool and one built for workplace coaching. Pascal was trained by ICF-certified executive coaches who understand the ethical boundaries of coaching versus HR advice. ChatGPT was trained to be helpful by answering questions, regardless of whether it should.

Why Do Purpose-Built AI Coaching Platforms Handle Termination Differently?

Purpose-built AI coaching platforms include organizational guardrails that recognize when situations require human judgment, legal review, or HR expertise. Generic AI tools treat every question as equally appropriate to answer.

Pascal's coaching models were trained by ICF-certified coaches. This means the platform understands that termination discussions fall outside coaching scope and require specialized HR knowledge. ChatGPT has no such framework.

The guardrails architecture matters as much as the training. Pascal includes moderation flags, sensitive topic escalation protocols, and organization-specific controls. You can configure what triggers immediate HR escalation, what requires partial escalation (helping with documentation while requiring HR approval), and what the AI can handle independently.

Pascal also knows your company's progressive discipline policy, documentation requirements, and escalation pathways. When a manager asks about performance issues, Pascal references your specific frameworks and suggests next steps that align with your actual processes. ChatGPT can only provide general advice that may conflict with your policies.

The cost of getting it wrong: wrongful termination lawsuits, EEOC complaints, damaged employer brand. According to Melinda Wolfe, former CHRO at Bloomberg and Pearson: "It makes it easier not to make mistakes. And it gives you frameworks to think through problems before you act."

What Should Escalate to HR in AI Coaching?

AI coaching platforms should escalate any question involving termination, discrimination, harassment, legal compliance, protected employee status, or situations where the manager lacks authority to act independently.

Automatic escalation triggers include:

• Termination discussions

• Performance improvement plans leading to termination

• Questions about firing protected classes

• Retaliation concerns

• Harassment allegations

These topics require HR expertise, legal review, and documentation that AI coaching cannot provide.

Partial escalation offers a middle ground. Pascal can help with conversation preparation or documentation while flagging HR involvement. If a manager asks for help addressing performance issues, Pascal might organize the feedback history and suggest frameworks like Situation-Behavior-Impact while requiring HR approval before any termination discussion.

Organizations can customize escalation thresholds based on company size, legal risk tolerance, and HR team capacity. A 50-person startup might allow more AI guidance on routine performance conversations. A 10,000-person enterprise might require HR involvement earlier. The key is having the flexibility to match your organization's needs.

What Pascal does instead of answering termination questions: helps with performance documentation, suggests frameworks for difficult conversations, provides talking points for HR consultation. This keeps managers moving forward while ensuring they get proper support for high-stakes situations.

By handling routine coaching questions, Pascal allows HR teams to focus on complex situations that require human expertise. HR teams report saving time because the AI coach addresses questions like "How do I give constructive feedback?" or "What's the best way to delegate this project?" without requiring HR business partner involvement.

How Does AI Coaching Compare to Traditional HR Support?

AI coaching platforms complement HR teams by providing immediate guidance on routine questions while escalating sensitive situations. Traditional approaches force managers to either wait for HR availability or make decisions without support.

Traditional HR models have clear limitations. HR business partners can't be in every meeting, available at 2 AM, or provide immediate guidance when managers face difficult situations. When a manager needs help at 9 PM preparing for a difficult conversation the next morning, they're on their own. This gap leads to delayed decisions, missed coaching opportunities, or managers proceeding without support.

Generic AI tools create different risks. ChatGPT provides answers without escalation, creating legal exposure and inconsistent guidance across the organization. One manager might follow AI advice that contradicts your company's policies while another gets different advice for the same situation.

Purpose-built AI coaching delivers a better model. Pascal is available around the clock for appropriate coaching questions, escalates sensitive topics to HR, and maintains SOC2 compliance (a security standard that protects employee data). The platform sits in Slack, Teams, and meetings where work happens.

How Can HR Customize AI Coaching Escalations?

CHROs evaluating AI coaching platforms should verify that vendors have explicit escalation protocols, customizable guardrails, transparent moderation systems, and clear documentation of what the AI will and won't answer.

Critical vendor questions to ask: "Show me what happens when a manager asks about firing someone." Request a live demo of the escalation workflow. Does the platform recognize the sensitive nature of the question? Does it redirect to HR? Does it offer appropriate support within boundaries? If the vendor can't demonstrate this clearly, their guardrails may not exist.

Ask about customization options. Can you configure what triggers escalation based on your organization's risk tolerance? Can you add company-specific policies that inform the AI's responses? Can you integrate with your HRIS to pull relevant employee data that might affect coaching guidance?

Transparency in moderation systems matters. How does the vendor identify sensitive topics? What happens when the AI encounters a question it shouldn't answer? Is there a human review process for edge cases? You should understand the technical architecture behind escalation, not just trust that it works.

Documentation requirements separate serious vendors from those treating AI coaching as a generic product. Request written policies on what the AI will and won't address. Ask for examples of escalation scenarios. Review the training data and coaching frameworks that inform the platform's responses.

Integration with your existing HR workflows is the final critical factor. Can the platform escalate directly to your HR business partners through Slack or Teams? Does it integrate with your performance management system to pull relevant context? Does it maintain SOC2 compliance to protect employee data?

Key Takeaways

• Generic AI tools like ChatGPT provide termination scripts without considering your company's legal obligations, policies, or the employee's protected status.

• Purpose-built AI coaching platforms trained by ICF-certified coaches (executive coaching certification) recognize when situations require human expertise and escalate appropriately.

• Effective escalation protocols should be customizable based on your organization's size, risk tolerance, and HR capacity, with clear documentation of what triggers automatic escalation versus partial support.

• When evaluating AI coaching vendors, CHROs should request live demos of escalation workflows, verify the coaching expertise behind the platform, and ensure the vendor can document exactly what the AI will and won't answer.

Disclosure: This article discusses Pascal, an AI coaching platform built by Pinnacle. The ChatGPT test described above was conducted by the author in December 2024. Results may vary based on prompt phrasing and ChatGPT version.

Header photo by Headway on Unsplash