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AI built for
How Revenue Actually Works
Intelligence that brings context, transparency, and control to planning, performance, and payouts,
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AI in revenue only works when plans, performance, and payouts stay aligned.
CaptivateIQ unifies all three in a single system of record, giving AI the context, adaptability, and governance it needs to help teams move faster and make decisions with confidence.
AI for Planning and Incentives
Clear, Instant Answers for Every Rep and Manager
Turn complex compensation plans into instant, trusted answers for every rep and manager
Reduce commission disputes and eliminate shadow accounting with complete statement clarity
Build and Understand Logic with Ease
Create and debug complex plan logic with natural language. Describe your intent, and the agent builds the formula
Get clear explanations for any formula or error, and know exactly how to fix it
Anticipate Revenue and Payout Impact Early
Forecast payouts and attainment using machine learning applied to live data
Evaluate plan changes with what-if scenarios before rollout
Detect unusual payout patterns early to protect budget and performance
AI Grounded in
Real Revenue Complexity
Precision Through
Context
Instead of relying on generic assumptions, our unified platform gives AI full context, producing insights and decisions that reflect how your business actually operates.
Real-time
Adaptability
Plans, targets, and assumptions evolve as markets shift. Our real-time modeling lets AI recalculate outcomes instantly, keeping everything aligned.
Built-in
Governance
AI actions are governed by the same permissions, rules, and approval processes, ensuring speed never comes at the expense of trust.
Brewing the Future: AI in Revenue Strategy. Hype, Helper, or the Next Decision Engine?
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FAQ: AI
CaptivateIQ’s AI capabilities include Catalyst for predictive modeling, Inquiry Agent for real-time commission explanations, and Modeling Agent for understanding, debugging, and formula building. Together, they help companies:
- Forecast incentive spend
- Model attainment scenarios
- Give sales reps and managers total pay transparency
- Give managers the ability to quickly understand and build compensation and revenue logic
CaptivateIQ uses its AI modeling layer, Catalyst, to apply machine learning to historical performance and live pipeline data to forecast commission spend and attainment outcomes. Sales reps can also run real-time “what-if” scenarios to see how future deals may impact commissions.
CaptivateIQ’s AI is built into our unified planning and compensation platform, powered by real-time modeling infrastructure and built-in governance controls. Because it operates within the same system that defines plan rules, measures performance, and calculates pay, every output reflects how your business actually determines performance and compensation.
It’s intelligence driven by architecture, enabling precise, adaptive execution with full governance.
CaptivateIQ uses AI to give admins predictive visibility into commission outcomes and give sales reps instant clarity into their earnings. Catalyst supports forecasting, modeling, and anomaly detection, while Inquiry Agent answers rep questions in real time, reducing disputes and support tickets. Modeling Agent further increases efficiency by helping admins easily understand, debug, and create logic as they manage plans.
CaptivateIQ uses Inquiry Agent to proactively explain commission payouts in plain English, including formulas, plan rules, and source data. This transparency helps sales reps and managers understand their earnings immediately, which reduces commission disputes, eliminates shadow accounting, and decreases support tickets.
Trusted Intelligence
from planning to payout.
Built on a unified platform for planning and compensation, enabling precise, adaptive execution with full governance.