Reejig Blog

Michael Fraccaro and JoAnn Stonier on AI and HR alliance shaping work

Written by Reejig | Aug 27, 2025 12:00:00 PM

In a world racing toward AI transformation, most companies are asking: What should we automate? But Mastercard’s leaders are asking deeper questions: What is the work really made of? What’s the responsible way to redesign it? And how do we bring our people with us?

In a recent Reejig webinar, Siobhan Savage was joined by Mastercard’s JoAnn Stonier (Fellow of Data & AI) and Michael Fraccaro (Fellow and former Chief People Officer) to explore how leading companies are boldly, but responsibly, creating AI-powered workforces.

Here are the key takeaways.

Reinvention starts with the right question

The AI journey is not about jumping on the latest technology. According to JoAnn, it begins with business and data strategy:

"AI transformation isn't just about the tech. It's about your people, processes, and what kind of company you want to become."

Leaders need to rethink their entire operating models. Legal and HR. Product, finance, and beyond. It is not one big transformation. It is a continuous series of micro-transformations across the enterprise.

Efficiency comes first, but it is just the start

Most organizations begin with efficiency. The "defensive" use of AI:

  • Streamlining internal processes
  • Running pilots behind the scenes
  • Learning quietly before going public

That is just phase one. The real value comes when AI personalizes services, extends product capabilities, and fuels innovation. This journey requires:

  • Governance councils that cut across HR, technology, legal, and business
  • Strong AI and data leadership
  • Prioritized experimentation

HR and AI teams must partner from day one

One of the strongest messages from both JoAnn and Michael: HR and AI teams must work together from day one.

"If your AI team isn't thinking about people, who do you think is going to create the value?"

HR is critical to:

  • Building foundational AI literacy across the organization
  • Designing skilling journeys for different job families
  • Re-architecting roles around people and agent collaboration
  • Leading the change effort

JoAnn added: "We need to train managers to supervise AI agents, because they're not just leading people anymore."

This is the Agent + Human Operating Model in practice.

From curiosity to capability: managing the people side

While headlines focus on job loss fears, Mastercard sees more curiosity than anxiety.

"Our people are asking, 'How will this help me do my job better?'" - Michael

To channel that curiosity, leaders must:

  • Be transparent about the roadmap
  • Involve employees in the change
  • Train for both usage and agent supervision
  • Make change feel normal, not overwhelming

Michael emphasized HR's role as a translator between AI strategy and workforce planning. "There's no playbook, but we can co-create one."

Think in tasks, not titles

Traditional org charts and job titles do not reflect how work actually gets done. That is why Mastercard and other leading companies are:

  • Breaking jobs into discrete tasks
  • Identifying which tasks are ripe for automation
  • Reallocating people toward higher-value work

This task-level visibility also produces smarter reskilling, better work movement, and more meaningful conversations with leadership.

"Jobs don't transform. Tasks do. That's where the real opportunity is." - Siobhan

Every enterprise is deploying AI. Almost none can see the work they're deploying it into.

The emotional layer of change

JoAnn closed with an important reminder. Transformation is also emotional.

"Everyone is going through change. Leaders need to acknowledge that and bring empathy into the process."

Whether employees are curious, overwhelmed, or excited, it is the company's responsibility. Create space for learning, experimentation, and community.

What organizations can learn from Mastercard

  • Start with clarity, not just code. AI needs Work Intelligence, not just data.
  • Make HR a co-pilot. They own the people systems that make transformation stick.
  • Build for evolution. Your org design must flex as agents, systems, and tasks evolve.
  • Lead with humanity. The right transformation honors people, not just productivity.

The bottom line

Mastercard shows what responsible AI-powered transformation looks like. Not just adopting technology. Rethinking how work is done, and why.

By focusing on the intersection of people, data, and strategy, they are not just building an AI-ready workforce. They are building trust.

"This isn't just about skilling. It's about shaping how work evolves."

Book a demo to see how the Work Operating System makes work visible at the task level.