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Event Recap: Ignoring Culture in the Age of AI: The Hidden Cost During Times of Uncertainty

Chicago, IL | Remington’s | March 31, 2026

 

Moderator & Panel

Erica Pachmann

Culture Amp

Lead People Scientist


LinkedIn

Marisa Burger

R1 RCM

Sr. Director, HR Strategy & AI Enablement


LinkedIn

Michael Miller

Camping World

Director, Talent Management & Employee Experience


LinkedIn

Francisco Medrano

Omnicom Health Group

Associate Director, Talent Acquisition


LinkedIn

Kate Reynolds

Accompany Health

Director, People Strategy & Ops


LinkedIn

Amanda Kelly

Morningstar

Global Head of Talent Management


LinkedIn

Executive Summary

Organizations are entering a new phase of AI adoption where the central challenge is no longer whether to use AI, but how to integrate it into work without damaging culture, trust, or accountability. The discussion highlighted that AI is already reshaping roles across HR, talent acquisition, learning and development, employee experience, and business operations. However, leaders emphasized that the value of AI depends on how thoughtfully organizations redesign work, train employees, and define the boundaries between automation and human judgment.

A recurring theme was that AI adoption must be treated as cultural transformation, not just tool implementation. Employees need clarity on why AI is being introduced, how it will affect their roles, and what behaviors the organization wants to encourage. Without that clarity, AI can create fear, confusion, inconsistent adoption, and legal or ethical risk. Leaders also noted that many employees are already using AI informally, which means organizations must provide safe, governed tools rather than assuming they can block usage entirely.

The conversation also reinforced the importance of preserving human skills in an AI-enabled workplace. Critical thinking, judgment, creativity, communication, and relationship-building remain essential, especially in HR and talent functions where decisions affect people’s careers and livelihoods. AI can accelerate workflows, summarize data, coach managers, and improve productivity, but it should not replace accountability. The organizations that succeed will be those that use AI to expand human capacity while maintaining clear governance, ethical oversight, and cultural alignment.

Key Themes

Key Themes

  • AI as cultural transformation.
    AI adoption is changing expectations for leadership, work design, employee behavior, and organizational trust. Leaders must treat it as a culture shift, not simply a technology rollout.
  • Redesigning roles around human strengths.
    AI can absorb repetitive or task-based work, but organizations must intentionally redesign roles so employees can focus on higher-value activities such as problem-solving, judgment, coaching, and relationship-building.
  • Governance, legal risk, and human oversight.
    AI use in HR, talent acquisition, performance management, and employee relations requires strong guardrails. Human review remains essential for decisions involving hiring, performance improvement, employee data, and legal exposure.
  • AI literacy and change enablement.
    Employees need practical education on what AI can do, what it cannot do, how to use it safely, and where human accountability begins. Tool-agnostic training and critical thinking matter more than narrow prompt training.
  • The tension between efficiency and trust.
    AI can improve speed and productivity, but poorly designed implementation can reduce trust, worsen candidate or employee experience, and create hidden bias or overreliance on automated outputs.

Actionable Takeaways for Enterprise Leaders

Actionable Takeaways for Enterprise Leaders

  • Define the cultural purpose of AI before scaling adoption.
    Clarify whether AI is being used to reduce costs, improve quality, expand capacity, strengthen employee experience, or support innovation. Employees need to understand the “why” behind the change.
  • Redesign workflows before measuring ROI.
    Do not assume AI value comes from simply giving employees access to tools. Reevaluate roles, processes, decision points, and handoffs to identify where AI can meaningfully improve work.
  • Train leaders on AI strategy, not just tool usage.
    Senior leaders do not need to build every bot or agent themselves, but they do need to understand scalability, risk, governance, ROI, and workforce impact.
  • Keep humans accountable for people-related decisions.
    Use AI to support hiring, performance, coaching, and employee relations, but require human review and judgment before decisions are made or acted upon.
  • Create clear usage rules for HR and manager-facing agents.
    Define what managers can ask AI to do, what data they can enter, when HR or legal review is required, and what outputs must be validated before use.
  • Build AI literacy across the workforce.
    Provide practical, role-specific training that explains safe usage, data protection, bias, hallucinations, responsible prompting, and how to evaluate AI-generated outputs.
  • Use AI to coach critical thinking, not replace it.
    Design tools that help employees think through decisions, prepare conversations, and evaluate options rather than simply generating final answers.
  • Partner closely with legal, compliance, and risk teams.
    Involve these stakeholders early so AI adoption can move forward with appropriate guardrails instead of being blocked after implementation.
  • Recognize and reward responsible AI experimentation.
    Spotlight employees who use AI in ways that improve quality, reduce risk, or enhance customer and employee experience, not just those who automate the most work.
  • Protect candidate and employee experience.
    In talent acquisition, avoid overreliance on automated screening. AI can help manage volume, but human interaction remains critical for fairness, trust, and fit.
  • Prepare managers to own AI-enabled processes.
    As AI tools become embedded into daily work, process owners will need to understand how to validate, maintain, and improve the tools supporting their workflows.
  • Avoid cognitive surrender.
    Reinforce that AI outputs are recommendations, not decisions. Employees must remain responsible for reviewing, questioning, and applying judgment before acting.

Sponsor

Culture Amp revolutionizes how over 25 million employees across 6,500 companies create a better world of work. As the global platform leader for employee experience, Culture Amp empowers companies of all sizes and industries to transform employee engagement, develop high-performing teams, and retain talent via cutting-edge research, powerful technology, and the largest employee dataset in the world. The most innovative companies across the globe, such as Salesforce, PwC, KIND, SoulCycle, and BigCommerce depend on Culture Amp every day.

Culture Amp is backed by 10 years of innovation, leading venture capital funds, and offices in the U.S., U.K., and Australia. Culture Amp was recognized as one of the world’s top private cloud companies by Forbes and one of the most innovative workplace companies by Fast Company.

Learn more about how Culture Amp can help you create a better world of work at cultureamp.com