The hard truth about the human side of AI adoption

The hard truth about the human side of AI adoption

About the session

AI adoption is not only a technical challenge. In this DevRev Live discussion, Ahmed Bashir and Ben.ient explore how trust gaps, resistance to change, and insufficient reskilling can prevent AI systems from being used effectively in production.

The session looks at human-in-the-loop design, clear ownership, and change management, and explores the patterns that distinguish AI pilots from production-ready systems with people at the center.

Key takeaways

  • Identify trust gaps and change resistance that can stall AI adoption.
  • Understand why teams need reskilling alongside new AI tools.
  • Explore human-in-the-loop design and clear ownership.
  • Connect change management with the transition from pilots to production.

Agenda

  1. The human barriers to adoption

    Trust gaps and resistance to change.

  2. Reskilling teams

    Preparing people to work with AI.

  3. Human-in-the-loop design and ownership

    Keeping people involved and responsibilities clear.

  4. Moving beyond pilots

    Patterns for production-ready adoption.

Speakers

  • Ahmed Bashir

    Ahmed Bashir

    Chief Technology Officer, DevRev

  • B

    Ben.ient