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Elementum AI Joins the Open Semantic Interchange Initiative to Unlock the Power of AI Agents & Workflow Orchestration

Written by Elementum Team | Sep 23, 2025 1:59:22 PM

Standardizing industry semantic models will accelerate AI-driven automation and unlock faster, safer, more interoperable workflows for every enterprise.

Breaking Down One of AI's Biggest Barriers: Data Fragmentation

AI has the potential to transform how enterprises operate — enabling faster decision-making, streamlined processes, and unprecedented levels of automation to drive down costs, accelerate revenue growth, and reduce operational risk.

But there’s a problem. Most organizations struggle to make AI work at scale because their data is fragmented, inconsistent, and locked inside proprietary models. Each system uses its own definitions for core business concepts like “customer,” “order,” or “invoice.” This lack of shared semantics makes it incredibly difficult to orchestrate workflows across systems or train AI agents that can act reliably on enterprise data.

At Elementum AI, we see this challenge firsthand every day. While AI can unlock new possibilities, the absence of a consistent, trusted data foundation forces companies to spend months on manual mapping and cleansing before business process automation efforts can even begin.

Joining Forces to Create a Shared Semantic Language

That’s why we’re proud to announce that Elementum AI has joined Snowflake and other leading ecosystem partners in the Open Semantic Interchange (OSI) initiative, an industry initiative dedicated to standardizing and streamlining semantic models and how they are used across AI and data analytics platforms.

“One of the most common challenges we see is the lack of a consistent, single source of truth,” said Josh Waite, VP of Product at Elementum AI. “Joining the Open Semantic Interchange Initiative allows us to work with Snowflake and others to solve this challenge and will pave the way for faster, safer, and more effective AI-powered business process automation.”

OSI aims to deliver a vendor-agnostic semantic model specification and query API that allows data to flow seamlessly between systems. With this shared foundation, AI agents, analytics tools, and workflow orchestration platforms will all be able to speak the same language, dramatically accelerating time-to-value for enterprises everywhere.

Unlocking the Full Potential of AI-Driven Automation

Elementum AI’s platform goes beyond technical efficiency, empowering organizations to automate core business processes that directly impact their bottom line, from invoice approvals to customer service, supply chain planning, sales operations, and more. 

With the introduction of standardized semantic models we’ll be able to push the boundaries of what’s possible with AI workflow orchestration, delivering a range of benefits to our customers, including:

  • Faster Implementations: Pre-built semantic models will allow us to offer pre-trained AI agents and automations, cutting deployment timelines.
  • Better AI Performance: Structured, standardized data reduces training time, improves accuracy, and lowers the risk of AI “hallucinations.”
  • Simpler Orchestration Logic: Rules and workflows can reference common objects and events across systems rather than relying on brittle custom models that require constant maintenance.
  • Improved Compliance: Regulatory logic (HIPAA, SOX, GDPR) can be embedded directly into standardized semantics, ensuring compliance from day one.

This approach will allow us to accelerate our already industry-leading implementation times while giving customers the confidence that their AI-powered processes will be accurate, reliable, and compliant.

Building for Interoperability and Extensibility

We also know that every organization has a unique mix of technologies, and being locked into a single vendor can limit agility. Legacy platforms that force companies into proprietary data models make it difficult to adapt as business needs change.

That’s why we’re particularly excited about OSI’s emphasis on interoperability and extensibility. At Elementum AI, we already use industry standards like Google’s A2A protocol for agent-to-agent communication, which allows us to orchestrate work between any agents — even those built on third-party systems.

With OSI, we can take these principles even further. A shared semantic foundation will allow AI agents, data, and workflows to move freely across ERP, CRM, supply chain, and other systems. This will:

  • Reduce data and process siloes
  • Eliminate brittle, one-off integrations
    Make it easier for organizations to adopt new AI capabilities without starting from scratch

In short, it will help organizations future-proof their operations and unlock new possibilities for continuous innovation.

A Shared Path Forward

Standardized semantics are the missing bridge between data, AI, and business outcomes. By joining the Open Semantic Interchange initiative, we’re helping to build that bridge, not just for our customers, but for the entire enterprise ecosystem.

As AI continues to reshape how businesses run, interoperability and trust in data will become the foundation of every successful automation strategy, helping organizations cut operational costs, accelerate revenue cycles, and deliver greater customer value. 

Together with Snowflake and our OSI partners, we’re excited to create a future where AI agents and workflows can plug into any business process as easily as flipping a switch.

Learn more about how the Open Semantic Interchange is standardizing and streamlining semantic model exchange in this blog post.