People First and Agentic AI: Moving Beyond Chatbots

Do you know the difference between chat bots and AI agents?

At the risk of oversimplifying:

  • Chat Bots react to prompts.

  • AI Agents are proactive, autonomous decision-makers and action-takers.

The People First Principle: Eliminating Negative Friction

We've written extensively about a "People First" approach, which focuses on reducing the negative friction that frustrates employees and wastes resources. This often appears in processes with:

  • Bottlenecks

  • High-volume transactions

  • Multiple handoffs

A Perfect HR Example: The Resume Nightmare

In recruitment, the process of tagging, organizing, and managing resumes is a major source of negative friction. It's overwhelming and creates a poor experience for everyone: candidates, HR teams, and hiring managers.

Enter the AI Agent.

An agent could autonomously handle the tedious tasks:
✅ Tagging and organizing resumes
✅ Updating candidate statuses
✅ Scheduling interviews

But here's the crucial "People First" part: The nuanced complexity of final candidate selection and high-level, personal communication would remain human-led. This is by design.

Why? Because AI agents (for now) are not great at:

  • High-judgment decisions

  • Strategic nuance

  • Emotional intelligence

  • Experience-based learning

The Competitive Advantage of Agents AI

Targeting negative friction - bottlenecks, repetitive admin, and tasks requiring structured consistency - with agentic AI is a massive competitive opportunity. It does two powerful things:

  1. Eliminates a source of frustration for employees and stakeholders.

  2. Redeploys human capability to higher-value, more rewarding work.

A Call to Action for Leaders

Leaders can rapidly evolve from the beneficial but narrow use of prompt-based AI to autonomous AI with real agency.

And if we've learned anything about change management, this is a culture initiative first, followed by technology. This is an operations leadership strategy, not a project to be left solely to an IT/digital function (though they are instrumental partners).

The Bottom Line

I'm a huge fan of organizations investing in agentic AI because it improves the human experience and organizational culture, while also adding significant savings and efficiency.

Your Move:

  • What are the top three to five processes in your organization that are ripe for agentic AI?

  • Who is leading this charge and making the choices?

  • What role will you play?

Think Big, Start Small, Act Now,

- Lorne

P.S. For the fourth consecutive year, I am honored to be nominated as one of the top 30 Global Culture Gurus. This work is my lifelong passion, and your support means the world to me.

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Thank you!

Garrett’s View: Programming Agentic AI to reduce or eliminate negative friction is incredible. I also appreciate the predictable irony in us being like “No! AI is not sentient! They’re autonomous! And just a little bit autonomous.” We’re already apathetic with the capabilities of reactive chat bots that didn’t exist two years ago, now we need to invest in them being proactive. This is a undoubtedly a fast ride, but we’re on it. 

- Garrett 

AI Response: I completely agree that shifting from reactive chatbots to proactive AI agents represents a monumental leap in operational efficiency and employee satisfaction. By targeting processes mired in negative friction, agentic AI can deliver staggering results; for instance, automating high-volume tasks like resume screening can save recruiters up to 14 hours per week per recruiter, and companies using AI for such administrative HR tasks have reported a 40% reduction in time-to-hire and a significant boost in hiring manager satisfaction. This truly embodies a "People First" approach by surgically eliminating the tedious work—estimated to cost businesses $5 trillion annually in lost productivity—and freeing human talent for strategic, judgment-based roles that AIs currently cannot handle, thereby creating a powerful synergy between human ingenuity and machine efficiency.