GTM Agents
- Multi-step, autonomous GTM workflows
- Unified execution across the GTM stack layer
- Real guardrails and coordination
- Continuous self-improvement
- Work across every GTM workflow
HockeyStack Agents transform natural language instructions into reliable, repeatable workflows. Users describe what they want in plain English, and the system translates it into a structured, enterprise-grade automation.
HockeyStack’s GTM agents conduct advanced reasoning on your winning pipeline conversion and closed-won patterns
HockeyStack’s GTM agents continuously learn from new pipeline activity and outcomes, automatically refining their insights and recommendations over time.
Run the agent on-demand to preview its recommendations and validate outputs against your real GTM data
- Slack Message
- Evaluate AE forecasts against activity and historical accuracy
- Challenge commit deals with data-backed risk questions
- Categorize deals by confidence, challenged, or at risk
- Improve forecast accuracy through AE calibration insights
Trigger | Scheduled
HockeyStack’s GTM agents conduct advanced reasoning on your winning pipeline conversion and closed-won patterns
HockeyStack’s GTM agents continuously learn from new pipeline activity and outcomes, automatically refining their insights and recommendations over time.
Run the agent on-demand to preview its recommendations and validate outputs against your real GTM data
- Slack Message
- Evaluate AE forecasts against activity and historical accuracy
- Challenge commit deals with data-backed risk questions
- Categorize deals by confidence, challenged, or at risk
- Improve forecast accuracy through AE calibration insights
Trigger | Scheduled
HockeyStack’s GTM agents conduct advanced reasoning on your winning pipeline conversion and closed-won patterns
HockeyStack’s GTM agents continuously learn from new pipeline activity and outcomes, automatically refining their insights and recommendations over time.
Run the agent on-demand to preview its recommendations and validate outputs against your real GTM data
- Slack Message
- Evaluate AE forecasts against activity and historical accuracy
- Challenge commit deals with data-backed risk questions
- Categorize deals by confidence, challenged, or at risk
- Improve forecast accuracy through AE calibration insights
Trigger | Scheduled
HockeyStack’s GTM agents conduct advanced reasoning on your winning pipeline conversion and closed-won patterns
HockeyStack’s GTM agents continuously learn from new pipeline activity and outcomes, automatically refining their insights and recommendations over time.
Run the agent on-demand to preview its recommendations and validate outputs against your real GTM data
- Slack Message
- Evaluate AE forecasts against activity and historical accuracy
- Challenge commit deals with data-backed risk questions
- Categorize deals by confidence, challenged, or at risk
- Improve forecast accuracy through AE calibration insights
Trigger | Scheduled
HockeyStack’s GTM agents conduct advanced reasoning on your winning pipeline conversion and closed-won patterns
HockeyStack’s GTM agents continuously learn from new pipeline activity and outcomes, automatically refining their insights and recommendations over time.
Run the agent on-demand to preview its recommendations and validate outputs against your real GTM data
- Slack Message
- Evaluate AE forecasts against activity and historical accuracy
- Challenge commit deals with data-backed risk questions
- Categorize deals by confidence, challenged, or at risk
- Improve forecast accuracy through AE calibration insights
Trigger | Scheduled
HockeyStack’s GTM agents conduct advanced reasoning on your winning pipeline conversion and closed-won patterns
HockeyStack’s GTM agents continuously learn from new pipeline activity and outcomes, automatically refining their insights and recommendations over time.
Run the agent on-demand to preview its recommendations and validate outputs against your real GTM data
- Slack Message
- Evaluate AE forecasts against activity and historical accuracy
- Challenge commit deals with data-backed risk questions
- Categorize deals by confidence, challenged, or at risk
- Improve forecast accuracy through AE calibration insights
Trigger | Scheduled
Score and route new leads, create follow-up tasks, and send personalized outreach
Detect early churn signals and trigger save campaigns
Create custom agents for targeted GTM execution
Build Agents to automate and align revenue operations
Advanced reasoning on your winning pipeline conversion and closed-won patterns
HockeyStack’s proprietary LLM built for GTM data turns English-written contracts into automated workflows.
Every outcome feeds back into the system, improving agent decisions across your entire business context.
Agents know which signals, data, and tools to use and fetch them automatically, end to end.
- Multi-step, autonomous GTM workflows
- Unified execution across the GTM stack layer
- Real guardrails and coordination
- Continuous self-improvement
- Work across every GTM workflow
Reps commit deals based on optimism without evidence of buyer readiness.
Agents challenge commits using activity and stage velocity.
Forecast risk surfaces too close to quarter close.
Agents flag weak commits before revenue is missed.
Leaders waste time arguing forecast opinions.
Agents inject data-backed challenge questions automatically.
AE Forecast Challenger
Revenue planning breaks due to unreliable commits.
Agents restore forecast trust for company-wide planning.
Forecast accuracy depends on individual rep discipline and experience.
Agents enforce consistent forecast standards across the org.
Leaders can’t scale deal-level inspection.
Agents continuously inspect every forecasted deal.
Ready To See HockeyStack In Action?
HockeyStack turns all of your online and offline GTM data into visual buyer journeys and dashboards, AI-powered recommendations, and the industry’s best-performing account and lead scoring.
Ready to See HockeyStack in Action?
HockeyStack turns all of your online and offline GTM data into visual buyer journeys and dashboards, AI-powered recommendations, and the industry’s best-performing account and lead scoring.
