Prove the Claim on Real Data
Show reasoning, accuracy, and failure modes in the buyer’s own working context.
Explore the full study 
G2 AI Custom Research for Xactly · June 2026
AI in Sales Performance Management.
Based on voices from 98 in-depth enterprise sales performance management (SPM) interviews
AI adoption is already widespread. The real question is how teams turn selective wins into trusted, embedded performance management.
From selective use to trusted scale
0% selectively deploy AI today. 0% report fully embedded use.
Voices from the research
Hear Why Trust and Proof Determine Adoption Depth.
Two respondents describe the practical standard AI must meet before it can influence forecasts, compensation, and other high-stakes SPM decisions.
“Um, ultimately, if I had to choose one thing, uh, it would be data quality and trust in the underlying information. You know, once that foundation is in place, I think adoption becomes much, much easier.”
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“…AI claim seriously. A vendor needs to show three things in the context of my actual SPM work: how it works on my data, not a demo dataset; explainability I can use in disputes; accuracy and failure modes, not just averages.”
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The central finding
SPM teams do not need another AI promise. They need proof they can put to work.
Four signals from the research
Where adoption moves—and where it stops.
93%are selectively deploying AI in SPM; no team reports fully embedded use.
Signal 01 · Adoption
Use is nearly universal. Embedding is not.
Another 5% are experimenting and only 2% report no AI use. The opportunity is helping selectively deploying teams move into compensation, quota, territory, and planning without losing control.
The next challenge is trusted embedding
G2 Research for Xactly
AI in SPM is no longer a question of whether—but how far.
Explore the complete research on adoption maturity, trust, ROI, governance, and the path to connected, agentic AI.