SMG Opens 2027 IMPACT Awards, Adds Enterprise AI Category

What happened

SMG has opened submissions for its 2027 IMPACT Awards, a recognition programme spanning three areas: customer experience, employee experience and enterprise artificial intelligence. The move formally kicks off the next award cycle, inviting organisations to be assessed and recognised for measurable progress in how they manage and improve experience, and in how they deploy AI within their operations.

The addition of an enterprise AI category alongside the programme's established customer experience and employee experience tracks reflects a broadening of scope — from measuring service quality and workforce engagement to also evaluating how organisations are operationalising AI at scale.

Why it matters

Industry award programmes function as more than accolades — they act as informal benchmarks, shaping how organisations define "good" experience management and giving leadership teams external validation to justify continued investment. By formally including an enterprise AI category, SMG is signalling that AI adoption has moved from experimentation to something worth measuring, comparing and recognising alongside traditional CX and EX metrics.

For leaders in experience and digital transformation, this points to a shift in how success is defined: it is no longer sufficient to demonstrate strong customer or employee outcomes alone; increasingly, how effectively AI is embedded into service and operational models is becoming part of the same conversation.

The Renascence take

Recognition programmes like this one are as much behavioural interventions as they are marketing exercises — they create a public reference point that organisations anchor against, often more powerfully than internal targets ever do.

Award frameworks work because they exploit a simple behavioural truth: people and organisations respond more strongly to visible, comparative recognition than to private metrics. The real value of a programme like this isn't the trophy — it's the discipline it forces internally to define, measure and defend what "good" AI, CX and EX actually look like. Operators entering categories like enterprise AI for the first time should treat the submission process itself as a useful audit: if a team can't clearly articulate the customer or employee outcome an AI deployment improved, that's a service-design gap worth fixing before it's a competitive one.