Cross-Functional AI Delivery Team Helps Global QSR Enterprise Accelerate AI Adoption at Scale

A US-based global QSR enterprise was embarking on an ambitious initiative to embed AI-assisted, agentic workflows across its international operations. The opportunity was significant, but so was the complexity. The organisation wanted to move quickly, identify meaningful use cases, and operationalise AI in a way that could scale across regions, functions, and teams.

With lean internal bandwidth and a broad transformation agenda already underway, the business needed more than isolated advisory support. It needed a high-performing, cross-functional team that could move from strategy through delivery while bringing the right mix of technical, operational, analytical, and change capability.

Maestro deployed a bespoke team of five Maestros full-time over a 10-week period across strategy, delivery, analytics, and education.

The client was not looking for a generic AI innovation exercise. It needed practical progress inside a complex global business.

The challenge was to identify where agentic AI could create the most value, prioritise the right pilots, design systems with clear governance, and deliver internal tools quickly enough to build momentum. At the same time, the organisation needed to improve reporting maturity, create repeatable frameworks, and ensure teams across the business understood how to adopt and use AI with confidence.

This meant solving for multiple dimensions at once: strategic opportunity, delivery discipline, stakeholder alignment, technical practicality, and organisational adoption. Without the right team in place, the business risked fragmented experimentation, slow execution, and AI activity that generated interest without producing scalable enterprise value.

Maestro built and deployed a tailored AI delivery team designed around the client’s needs. The team included an AI Workflow Strategist, Senior Project Manager, two Business Analysts, a Senior Data Analyst, and an AI Educator.

This cross-functional structure allowed the engagement to operate across the full value chain of transformation. The team worked to uncover high-impact opportunities for agentic AI, design and launch pilots, define governance and success metrics, and coordinate delivery across stakeholders. Rather than approaching AI as a theoretical future-state exercise, Maestro focused on operationalising practical use cases that could create measurable momentum quickly.

Alongside pilot development, the team also helped drive reporting transformation. A baseline maturity assessment was completed for Europe, supported by scalable templates and a roadmap that gave the business a clearer view of how reporting capability could improve over time.

The engagement also delivered multiple internal AI tools on time, with full stakeholder alignment. Just as importantly, Maestro supported adoption through education, delivering more than 10 global sessions on ChatGPT to accelerate internal confidence, understanding, and everyday usage.

Rather than simply supplying talent, Maestro assembled an integrated team capable of moving from opportunity identification to implementation and enablement at pace.

The impact was broad, practical, and highly visible across the business.

By combining strategy, delivery, analytics, and education in one embedded team, Maestro helped the client make faster progress on enterprise AI adoption without overloading internal leaders. The organisation gained clearer AI priorities, working pilots, live internal tools, stronger reporting foundations, and growing confidence across teams in how to use AI effectively.

Results included:

• A bespoke five-person AI delivery team deployed across strategy, delivery, analytics, and education
• High-impact agentic AI pilots identified and launched with governance and metrics in place
• A baseline reporting maturity assessment completed for Europe, supported by scalable templates and roadmap planning
• Multiple internal AI tools delivered on time with strong stakeholder alignment
• More than 10 global ChatGPT education sessions delivered to accelerate adoption and usage

This case study is a strong example of Maestro’s value creation model in action: bringing together the right cross-functional expertise to help a large enterprise move beyond AI ambition and into practical, scalable transformation.

Client Feedback

“Maestro didn’t just send us talent, they built us a team. Every Maestro brought deep expertise, worked at pace, and integrated seamlessly. From strategy through delivery, they helped us move fast, think big, and embed AI in a way that’s already changing how we operate.”