PARTNERSHIP
LangChain provides the open-source framework for building agentic logic.
Adopt AI takes those agents to production with governance, observability, and enterprise-grade deployment infrastructure.
Trusted by the best
LangChain is one of the most flexible open-source frameworks available for building AI agents. It excels at rapid prototyping with composable primitives, LangGraph for stateful workflows, and 500+ integrations for connecting to external systems and data sources.
However, simply having LangChain agents does not mean they will run reliably in production, scale under load, provide enterprise governance, monitor real user interactions, or deliver compliance-grade audit trails.
The gap between a LangChain prototype and a production-ready enterprise agent is significant. It involves multiple steps. Most teams spend months building observability, retry logic, governance layers, and deployment infrastructure. Some never get there.
Adopt AI is the operational layer that closes that gap. It makes LangChain agents enterprise-ready faster, with built-in governance, production monitoring, and automated API discovery that eliminates manual connector setup.
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.
