What: Early adopters of agentic AI in the workplace are seeing significant productivity gains, but the transition requires cultural adaptation, robust governance, and new approaches to team structure.

Why it is important: The adoption of agentic AI highlights that sustainable productivity gains in retail depend on reimagining workflows, investing in upskilling, and balancing automation with human oversight.

As agentic AI begins to enter mainstream workplace environments, early adopters are reporting notable improvements in efficiency, particularly for routine and data-intensive tasks. Companies like Upstream Security and Adecco have found that AI agents can accelerate decision-making, uncover stalled opportunities, and extend service hours, resulting in measurable time savings and broader candidate reach. However, the integration of agentic AI is as much a cultural shift as a technical one, requiring organisations to rethink team structures, process design, and change management. The transition also brings new challenges in governance, cost control, and oversight, as autonomous agents can quickly generate large volumes of work that require human validation. While agentic AI can magnify the productivity of top performers and free staff for higher-value activities, sustainable transformation depends on leadership commitment, systematic upskilling, and a human-centric approach that blends technological innovation with operational discipline. Ultimately, the companies that succeed will be those that invest in robust training, clear guidelines, and a balanced integration of automation and human expertise.

IADS Notes: Recent IADS sources confirm that agentic AI is rapidly transforming retail operations, workforce structures, and productivity, but only a minority of companies have successfully scaled these solutions due to persistent challenges in integration, governance, and workforce readiness. As highlighted by BCG (June and September 2025) and Gallup (January 2026), while 71–72% of retail employees now use AI tools weekly, only 36% feel adequately prepared for AI-driven change, and just 10% of retailers have managed to scale agentic AI across their organisations. Reports from McKinsey (July 2025) and BCG (April 2026) emphasise that the greatest value comes not from layering AI onto existing workflows, but from fundamentally reimagining processes around autonomous, goal-driven agents. Early adopters like Walmart and Prosus are achieving measurable gains—such as 15–30% improvements in service efficiency and productivity growth of 4.5% annually—by treating AI as an “exoskeleton” that augments human capability and accelerates decision-making. However, the transition is as much cultural as technical: Journal du Net (July 2025) and Forbes (October 2025) stress the need for robust governance, comprehensive training, and clear operational guidelines to balance automation with human oversight, prevent runaway costs, and maintain trust. The experience of leading retailers shows that agentic AI can magnify the productivity of top performers and free staff for higher-value work, but also requires new approaches to team structure, process design, and change management. Ultimately, sustainable transformation depends on leadership commitment, systematic upskilling, and a human-centric approach that blends technological innovation with operational discipline and employee engagement.

Les­sons from the agen­tic AI trail­blazers