Trusted intelligence. Embedded where work happens.

Agentic-ready data is dynamic, trusted enterprise data that enables AI systems to make real-time, explainable decisions by continuously connecting models to live, authoritative regulatory and product intelligence rather than static training data. Unlike static datasets or fixed-corpus AI knowledge, agentic-ready data stays current, integrates live regulatory and operational sources, and delivers explainable, decision-grade outputs aligned to real-world conditions. At 3E, agentic-ready data is purpose-built for mission-critical domains like product stewardship, EHS, regulatory compliance, and sustainability—where accuracy, traceability, and accountability are non-negotiable.

Agentic-ready data is designed for organizations where regulatory accuracy and decision speed directly impact business performance and safety.

• EHS and Product Stewardship leaders seeking continuous regulatory alignment

• Compliance and Regulatory Affairs teams managing global complexity

• Sustainability professionals navigating evolving reporting frameworks

• Procurement and supply chain teams assessing material and supplier risk

• CTOs and IT leaders enabling enterprise-grade AI safely and responsibly

An MCP (Model Context Protocol) is a secure connection that allows your systems or AI assistants to access trusted regulatory and compliance intelligence in real time. Instead of logging into separate tools, the MCP delivers verified data directly into your existing workflows, so decisions can happen automatically and accurately. It works behind the scenes, ensuring your AI uses authoritative information, rather than guessing or relying on unverified sources. It’s like an API for

3E is uniquely positioned to deliver agentic-ready data at enterprise scale.

• Over 35 years of trusted regulatory and chemical domain expertise

• Coverage across 160+ countries, 500+ regulatory topics, and hundreds of thousands of substances

• Expert-interpreted, continuously updated content—not scraped or unverified sources

• Proven human-over-the-loop governance for accountability and auditability

• A modern, open platform that connects regulatory intelligence directly to enterprise AI

3E doesn’t treat agentic-ready data as an experiment—it is embedded into the workflows where compliance, safety, and sustainability decisions are made every day.

As organizations adopt AI agents, copilots, and LLMs across the enterprise, a critical challenge emerges: AI is only as reliable as the data it can securely access, reason over, and keep current. Without agentic, governed data foundations, AI amplifies uncertainty instead of reducing it.

Modern enterprises operate in environments where regulatory requirements, chemical data, supply chains, and sustainability obligations change continuously. Yet most AI systems and analytics still rely on static datasets, periodic updates, or disconnected sources that cannot reflect real-time regulatory reality.

This gap creates material risk. Decisions are made using outdated rules, incomplete context, or unverified sources—leading to compliance failures, delayed market entry, rework, and potential human safety impacts.

Generic AI tools like Copilot or ChatGPT are powerful language models. They generate responses based on patterns in broad training data. What they don’t provide by default is governed, domain-specific intelligence tailored to regulated environments.

3E MCPs connect directly to expert-curated regulatory, safety and supplier data — continuously updated and structured for compliance workflows. That means responses are grounded in authoritative content, aligned to jurisdictional nuance and traceable for audit and review.

In practice, this delivers:

• Portfolio-aware answers tied to your actual products, materials and facilities
• Regulatory impact analysis based on validated global content
• Workflow-driven outputs, not just text responses
• Governance, access control and enterprise integration

You can use Copilot or ChatGPT for general productivity. When it comes to safety, regulatory and compliance execution, you need agentic tools powered by trusted intelligence and built for enterprise controls. That is the difference.

Most enterprise AI still operates on frozen snapshots of the past, and requires you to sift through a myriad of lists and datasets. Agentic-ready data from 3E changes that—securely connecting your AI ecosystem to live, authoritative regulatory and product intelligence, so decisions are made with current, contextual, and explainable data. Spend less time analyzing and more time working.