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Agentic Transformation vs. Digital Transformation
Explore the shift from traditional digital transformation to agentic approaches.
Read ArticleA modular framework to deploy, orchestrate and optimize agents that power real-time shopping journeys and operations, fast.
Orium’s Composable Agent Accelerator helps forward-looking commerce brands move beyond experimentation. Built on a modular foundation, it enables teams to go live with intelligent agents fast, orchestrate them across tools and channels, and optimize outcomes in real time. Whether supporting shopper journeys or internal operations, the accelerator brings clarity and velocity to your agent strategy.
Talk To Our TeamBring agents into your existing commerce, data, and AI ecosystem with compatibility for LangChain, Crew.ai, commercetools, Shopify, and more.
In a fast-moving AI landscape, success means building for change. Our modular foundation helps you go live quickly while staying ready for what’s next.
From product discovery to post-purchase support, launch AI agents that augment or automate high-impact workflows.
Coordinate multiple agents and tools through proven patterns that connect services, channels, and data across your stack in real time.
Built-in observability, governance and feedback ensure you understand what your agents are doing, where they succeed, and how to improve their performance over time.
Ready to see what agents can do for your business? Let’s map the possibilities in a quick strategy session, or size up your tech and team with a fast readiness check.
Optimized for leading commerce, AI, and orchestration platforms.
What happens when humans and AI agents team up across the entire commerce value chain? Explore how adaptive brands are preparing now.
What makes Orium’s Composable Agent Accelerator work across real-world retail environments? These capabilities deliver at scale.
Coordinate agent collaboration using frameworks like Crew.ai and LangGraph. Supports Agent-to-Agent (A2A) protocols, task routing, and decentralized workflows that reflect real-world business complexity.
Enable intelligent behavior with integrated memory infrastructure—vector databases, RAG pipelines, and session-aware context windows. Agents reason over historical state and shared knowledge to provide contextually relevant responses.
Seamlessly connect agents to enterprise systems through API-based tools, dynamic plugins, and support for the Model Context Protocol (MCP), enabling standardized access to commerce, content, and operational services.
Embed human oversight into every interaction layer. Supervisors can guide intent, approve decisions, or intervene directly via chat, dashboards, or embedded workflows—ensuring alignment with business and brand context.
Monitor, test, and tune agent performance with native support for LangSmith and custom evals. Includes built-in feedback loops, policy enforcement, and guardrails to promote safe and reliable outcomes.
The agent era is here. Let’s build your roadmap.
Deepen your understanding of agent-based transformation and governance with these resources:
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