PARTNERSHIP
CrewAI enables role-based, collaborative AI agents for complex workflows.
Adopt AI transitions these agents into production with governance, observability, and enterprise-grade deployment from the start.
Trusted by the best
CrewAI is one of the most capable frameworks for building role-based multi-agent systems. It excels at crew coordination, agent task delegation, built-in memory modules, and CrewAI Studio for visual agent building and testing.
However, simply having CrewAI crews does not mean they will run with enterprise governance, connect seamlessly to legacy systems, provide production observability for business outcomes, or deploy with compliance controls and audit trails.
The gap between CrewAI crew definitions and deployed enterprise multi-agent systems is significant. It involves multiple steps. Most teams spend months building governance layers, automated integrations, and production infrastructure. Some never get there.
Adopt AI is the operational layer that closes that gap. It operationalizes CrewAI crews with automated API discovery, enterprise compliance, production monitoring, and deployment flexibility across cloud, VPC, and on-prem environment
The same platform. Significantly more powerful when deployed through a purpose-built enterprise agent platform.
Code-first agent development with LangGraph.
500+ integrations requiring manual setup.
LangSmith for developer-level tracing.
Self-hosted or LangServe deployment.
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LangChain logic and visual orchestration and deployment.
Zero Shot API Ingestion (ZAPI) auto-discovery extends beyond Power Platform connectors.
Cloud and on-prem deployment flexibility via Helm.
Continuous monitoring, debugging, and retraining in production.
DISCOVERY
Discovers API behavior from live applications through browser-based exploration, producing a usable catalog of actions.
ACTIONS
Transforms discovered behaviors into validated, reusable actions with inputs, outputs, and guardrails.
EXECUTION
Builds goal-driven agents using natural language or configuration, then deploys with governance and observability.
You're building agent prototypes and prefer code-first development with maximum flexibility and
Your team has strong engineering resources for production infrastructure.
You need open-source flexibility and community-driven tool ecosystem.
You want to move LangChain agents from prototype to production without custom infrastructure and
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Want outcome driven execution with IT governance, oversight, verification and recovery.
Want agents tied to business outcomes.
Require deployment flexibility, compliance-grade governance, and more.
