By Bianca Felisbino, Operations and Projects Specialist

Feeling overwhelmed by all the talk about Generative Artificial Intelligence (GenAI)?

Maybe you’ve just gotten the green light to move from paper, PDF, or Excel files to a more comprehensive platform (HRIS, LMS or CRM – or another acronym out there), only to find that it already feels outdated with everything happening with GenAI. You might still be catching up on DEI/IDEA best practices, rethinking your hybrid work setup, and getting used to tools like Microsoft Teams and virtual collaboration. And now, here comes another big shift.

You’re not alone! It’s a lot to take in, and it’s completely normal to feel overwhelmed and even a little bit behind. Even major tech companies like Google and Microsoft seemed caught off guard by the launch of ChatGPT.  

The future of GenAI is still unfolding. There’s a lot of talk, some focused on the benefits of optimization and efficiency, while others are raising valid concerns about job loss, deskilling, intellectual property, data privacy, and environmental impacts. The truth is, no one has all the answers, even if they claim to.

All things considered, one thing is clear: change is already happening, and being prepared will help you navigate more confidently. The good news is that we’re here to support you.  

Here are a few key considerations we recommend as you navigate the evolving world of GenAI:

• Information: Stay curious, question what you hear, and take the time to review credible information, trends, and research

• Optimization: Identify areas where GenAI and automation can add value to your business. Focus on solutions that improve efficiency while ensuring security and responsible use

• Service quality: Reflect on where automation might impact the human touch. Will adopting GenAI affect your service quality, business values, or client relationships? It’s important to find a balance between optimization and maintaining your unique value

• Competition: Are any of your services at risk of being replaced by GenAI? Use this as an opportunity to review and adapt your business strategy proactively

• Data privacy and security: With so many new tools emerging, it’s essential to do your research before adopting any technology. Always assess risks around data security and privacy

• Document policies: Ensure you have a clear, up-to-date policy on the acceptable use of technology that includes GenAI. Define what’s permitted, what’s not, and how GenAI should be responsibly integrated into your business operations

How we can help you:

• Policy reviews: We’ll help you review your policies that address GenAI to ensure they’re not conflicting with Canadian Labour Laws or regulations

• Respectful workplace: We can guide you in maintaining a respectful workplace by ensuring that GenAI tools don’t inadvertently contribute to harassment, bias, or discrimination

• IDEA considerations: We’ll help ensure your commitment to Inclusion, Diversity, Equity, and Accessibility (IDEA) remains strong by addressing risks related to biased GenAI outputs or inappropriate use of technology

• Employee support: Our change management and resiliency training can help employees adapt to GenAI-related changes with greater confidence and well-being

• Leadership training: We offer leadership development focused on navigating change, helping managers lead with empathy, transparency, and strategic insight

• Disability management: We can ensure that your disability management practices remain compliant and supportive

• Recruitment solutions: We can identify and recruit GenAI-literate professionals to help you stay competitive and support your GenAI journey

• Compensation market review: As your workplace evolves and grows, we can help set your organization apart by designing and implementing a comprehensive compensation and total rewards strategy

• Career transition services: If restructuring or workforce changes are required, we provide compassionate, practical career transition services to support impacted employees

References:

Durth, S., Hancock, B., Maor, D., & Sukharevsky, A. (2023, September 19). The organization of the future: Enabled by GenAI, driven by people. McKinsey & Company. https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/the-organization-of-the-future-enabled-by-gen-ai-driven-by-people linkedin.com+5mckinsey.com+5brianheger.com+5

Ramchandran, A., Corcoran, K., & Pepper, S. (2024, April 22). 5 ways to make the most of generative AI. Deloitte. https://deloitte.wsj.com/cio/5-ways-to-make-the-most-of-generative-ai-0f4f45aa

Lawton, G. (2025, March 3). Generative AI ethics: 11 biggest concerns and risks. TechTarget. https://www.techtarget.com/searchenterpriseai/tip/Generative-AI-ethics-8-biggest-concerns

Gandhi, D., Joshi, H., Hartman, L., & Hassani, S. (2025, April 23). Approaches to responsible governance of GenAI in organizations (arXiv:2504.17044 [cs.CY]). arXiv. https://doi.org/10.48550/arXiv.2504.17044  

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