Connect your agents to enterprise systems
A comprehensive playbook for integrating AI agents with your enterprise systems—CRMs, ERPs, databases, APIs, and more—with security and governance built in.
AI agents are only as valuable as the systems they can interact with. But enterprise integrations come with challenges: authentication complexity, data governance, rate limits, and the need for reliable error handling.
Our Integration Playbook provides a battle-tested framework for connecting your agents to the tools and data they need. We've done the hard work of figuring out integration patterns for common enterprise systems, so your team can move fast without compromising security.
The playbook includes ready-to-use tool definitions, OAuth flows, rate limiting strategies, and data transformation patterns—everything your team needs to build robust integrations.
Integration Playbook
Comprehensive guide with patterns, code samples, and best practices for each integration
Tool Library
Ready-to-deploy tool definitions with tests and documentation
Security Checklist
Security review checklist covering authentication, authorization, and data handling
Runbook
Operational procedures for monitoring, troubleshooting, and recovering integrations
Tool Definition Templates
Pre-built, tested tool definitions for common enterprise systems (Salesforce, HubSpot, Notion, etc.)
Authentication Patterns
OAuth 2.0/2.1 flows, API key management, and credential rotation strategies
Rate Limiting Framework
Intelligent throttling and queuing to respect API limits without blocking workflows
Data Transformation Layer
Patterns for mapping between agent context and system-specific data models
Approval Workflow Design
Human-in-the-loop patterns for sensitive operations with configurable risk thresholds
Audit Trail Implementation
Comprehensive logging and audit trails for compliance and debugging
Enterprise Integration Teams
Teams tasked with connecting AI agents to existing enterprise systems
Compliance-Heavy Industries
Organizations in regulated industries needing documented, auditable integrations
DevOps & Platform Teams
Teams building shared integration infrastructure for multiple agent implementations
Design robust multi-agent architectures that scale with your business, featuring clear separation of concerns, efficient communication patterns, and built-in resilience.
Implement comprehensive observability for your AI agents—tracing, monitoring, alerting, and debugging tools that give you full visibility into agent behavior in production.
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