AI isn’t the advantage by itself. It’s a multiplier on whatever foundation you already have. This hub brings together executive POVs, real-world stories, and frameworks to help you stress-test your strategy before you scale.
Start with the Executive Guide for the big-picture foundations, or jump to the Playbook for practical next steps.
Stop Chasing
Shiny Objects
Arnab breaks down why data, workflows, and culture determine whether AI becomes a performance engine or a problem multiplier.
Confidence,
Not Chaos
Sam shares what CROs really need: plans teams trust, forecasts you can defend, and systems that stay strong under pressure no matter how the market shifts.
MAKE IT
DEFENSIBLE
Jason reveals the CFO lens on AI: accuracy, auditability, and outcomes you can stand behind — not more dashboards or vanity metrics.
This isn’t another “AI trends” piece with vague promises or table-stakes use cases. This is a C-suite guide on powering AI in SPM so you can deliver on your go-to-market ambitions and adapt even faster than the market can change.
It’s about resilience, not hype. Foundations, not fads. And it’s packed with insights every revenue leader needs right now.
infographic
Not all AI is created equal. Some of it’s real. Some of it’s what you might call "lipstick on a pig." This infographic shows you how to tell the difference—from integration to insights, from scalability to trust. If your AI isn’t built into your SPM workflows, it isn’t built to last.
Spot the difference »
playbook
AI only delivers when it moves beyond dashboards and into the workflows that drive revenue. This playbook shares five practical ways to put AI to work—today. From compensation planning and sales forecasting to territory design and RevOps agility, see how leaders can scale smarter and adapt faster.
Make your move »
WEBINAR
78% of CFOs call AI a game-changer. 86% say it hasn’t delivered. Why the disconnect? Join us for a candid conversation on what revenue teams are getting wrong—and how to turn AI into a true unfair advantage.
Watch NowGot a particular challenge? Curious how peers are applying AI to forecasting, comp planning, and territory design in today’s “tariff-of-the-day” world? Ask it here. Each week, Xactly experts and guest leaders weigh in with insights—from quota relief and incentive spend to AI in revenue operations and the strategies shaping what’s next.
Focus on the core systems that drive comp and forecasting — CRM, HRIS, and ERP — and keep them clean and connected.
Use scenario modeling to test quotas and payouts before rollout — so you launch with confidence, not surprises.
Use market benchmarks from comparable companies, paired with what-if models, to validate quotas before rollout.
Use benchmarks and historical data to stress-test assumptions. That makes your numbers harder to dispute.
Let AI take on the busywork— reconciling credits, surfacing anomalies, chasing exceptions — so you can focus on insights and influence.
Build transparency in from the start — with scenario modeling and real-time visibility into deals and payouts.