NEXTHINK

Nexthink’ s approximate value( Oct 2025)

On the product side, it measures value delivery through observability, metrics and reporting. The North Star, Moe says, is always the same: are we adding value and are we doing it efficiently?

As Moe indicates, staying focused also means being disciplined about what not to pursue. Conversation around AI generates enormous amounts of noise – new models, new frameworks and new paradigms arriving in rapid succession.

Meanwhile, on the question of stability in production, Moe is emphatic: AI workloads must be treated as mission-critical systems, not experimental side projects.

He says:“ We ' ve developed extensive evaluation and benchmark pipelines; we ' ve added AI observability everywhere, from traces to online evaluators; we ' ve doubled down on MLOps and put best practices in place; and we’ ve added safety guardrails and human-in-theloop wherever we need to.”

Gradual rollout is also central to the approach – in other words, testing with a small cohort, verifying safety and then expanding to a broader audience.

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