# CaptivateIQ Makes Rev Planning and Comp Builder Agents Generally Available

> CaptivateIQ released its Rev Planning and Comp Builder Agents to all customers, with beta users reporting 80% faster plan updates and 16 hours saved.

- Published: 2026-10-21T16:46:40+00:00
- Section: Product Launches
- Author: News Desk
- URL: https://newsforagent.com/news/2026-10-21/captivateiq-ai-agents-general-availability
- Source: [PR Newswire](https://www.prnewswire.com/news-releases/captivateiq-brings-trusted-ai-agents-to-incentive-and-sales-planning-302915101.html)

## Key takeaways

- CaptivateIQ announced general availability of its Rev Planning Agent and Comp Builder Agent on October 21, 2026.
- One beta customer, an enterprise software company, updated compensation plans 80% faster with the Comp Builder Agent.
- An AI-native technology platform cut 16 hours of manual work from a compensation plan project using the Comp Builder Agent.
- CaptivateIQ first unveiled the agents in May 2026 as part of its CaptivateIQ Agents portfolio.

[CaptivateIQ](https://akta.pro/company-profiles/0000twl/captivateiq) announced the general availability of its Rev Planning Agent and Comp Builder Agent on October 21, 2026, making both tools available to all customers. The agents automate sales planning and compensation work using an organization's own logic and rules, according to [PR Newswire](https://www.prnewswire.com/news-releases/captivateiq-brings-trusted-ai-agents-to-incentive-and-sales-planning-302915101.html).

## How the Rev Planning Agent Works

The Rev Planning Agent operates on a customer's live sales planning model inside CaptivateIQ. Users can ask questions in plain language and receive answers drawn from their actual plan, review proposed changes, and get notified of potential improvements. The agent traces answers through the full chain of inputs, so a user can ask how a quota was calculated or what differs across scenarios.

Users can describe desired changes and the agent suggests ways to improve the model, creates quota policies, worksheets, and calculation logic, then updates existing logic. The agent also designs and rebalances territories by building logic from a described goal or territory rules, assigning and balancing accounts, and helping compare versions before anything is committed. It simulates scenarios against live data to flag revenue target gaps, capacity risk, unbalanced territories, and unassigned accounts.

## What the Comp Builder Agent Does

The Comp Builder Agent works from plan logic and data in CaptivateIQ to help compensation administrators understand, debug, create, and update plan logic. Users can ask where a payout came from and get an explanation traced to the source, even for plans they did not build. The agent can debug a calculation, find the root cause, write the fix, and apply it once approved. Users can also describe a new rule or upload requirements to build net-new plans, or start from last year's plan and let the agent carry the logic forward.

Both agents require the admin to preview changes before they are applied. Every calculation runs through the CaptivateIQ platform rather than being generated by the LLM, so results are deterministic, traceable, and audit-ready by default.

"Compensation and sales planning processes are ripe for automation, but leaders' biggest source of AI hesitation is trust," said Conway Teng, co-founder and CEO of CaptivateIQ. "That's because LLMs are probabilistic, and anything involving revenue and paychecks needs to be exact."

## CaptivateIQ's Earlier Agent Portfolio

According to akta.pro [company records](https://akta.pro/company-data), CaptivateIQ launched CaptivateIQ Agents in May 2026, a portfolio of three autonomous AI agents: Compensation Builder, Compensation Operations, and Revenue Planning. The same records show the company introduced the CaptivateIQ MCP Server in May 2026, enabling enterprise customers to connect live compensation and planning data to external AI platforms including Claude and ChatGPT under governed access. CaptivateIQ also established a service partner ecosystem anchored by SANDS Partner in May 2026 to build additional integrations on the MCP Server.

## Beta Customer Results

One beta customer, an enterprise software company, used the Comp Builder Agent to update compensation plans 80% faster and is projected to shave one to two weeks off its year-end plan rebuilds. Another customer, an AI-native technology platform, cut 16 hours of manual work from a compensation plan project with a tight deadline, finishing it in half the expected time without needing any service hours or support tickets. Both agents are available today to all customers.

## Companies in this story

- [CaptivateIQ company profile](https://akta.pro/company-profiles/0000twl/captivateiq) · website: https://www.captivateiq.com

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