AI Agents

Build the Foundation for Scalable, Revenue-Generating AI Adoption

Common Challenges for AI Agents/Strategy Teams

AI agents are stuck at surface-level use cases

Teams struggle to leverage AI for strategic revenue impact.

Teams lack a unified, validated dataset that agents can rely on

Agents can’t make accurate decisions without clean, consistent data.

Predictions exist but aren’t embedded into workflows

Insights remain siloed and fail to drive real business outcomes.

No system for agents to learn from real-world outcomes

AI cannot evolve without feedback loops tied to actual performance.

Proving the ROI of agent investments is difficult

Measuring impact is challenging when AI outputs aren’t linked to revenue results.

How Reef Helps AI Agents/Strategy Teams

Agent-Ready data infrastructure

Creates agent-ready data infrastructure with validated history, predictive context, and feedback loops

Agent-Ready data infrastructure

Actionable predictions for agents

Feeds predictions directly into agents, enabling actions based on customer risk, growth, or timing

Actionable predictions for agents

Seamless GTM integration

Works across your GTM stack with no new UX or adoption barrier

Seamless GTM integration

Continuous learning

Supports continuous learning, using activity and revenue feedback to improve over time

Continuous learning

Clear ROI attribution

Proves ROI of agent actions with clear attribution and reporting

Clear ROI attribution
Core Use Cases

AI Agents for Better Customer Outcomes

Deploy intelligent agents across customer success, renewals, and account management with predictive models, unified datasets, and continuous feedback for measurable growth.

Building a dataset to support agent deployments

Create clean, unified data that powers reliable AI agent decisions.

Customer revenue-generating agents for CS, Renewals, Account Management, and more

Deploy AI to drive measurable growth across key customer touchpoints.

Predictive forecasting models that align agents with business outcomes

Ensure agent actions are guided by accurate, outcome-focused predictions.

Closed-loop feedback infrastructure to evolve both models and agents automatically

Continuously improve AI performance using real-world results.

Agent-ready delivery into tools

Integrate AI agents directly into the workflows your teams already use such as Salesforce, Gainsight, CSPs, and internal systems.

Integrations

Seamless workflow integration

No new UX to learn; recommendations show up where CS teams already operate.

Empower your business with a Predictive Data Foundation

Connect, validate, and activate your data to power AI-driven enterprise agents that predict growth, risk, and renewals.

CTA Background

Reef AI is building the NRR Intelligence Graph, a data foundation for churn and growth prediction that fuels better human decision making, digital experiences, and NRR agents.

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