CONNECTORS
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.
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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 crew definitions with CrewAI Studio.
Pre-built connectors requiring manual configuration.
AMP tracing for agent-level visibility.
AMP Cloud (managed) or self-hosted infrastructure.
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CrewAI logic and visual zero-shot builder 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.
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You're building role-based multi-agent workflows and prefer the CrewAI framework for agent coordination and
Your team values the crew and flow abstractions for structuring agent interactions.
You have engineering resources to handle production infrastructure.
You need CrewAI's multi-agent orchestration with enterprise-grade deployment and governance 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.
