Automate trusted compliance workflows with confidence

Agentic workflow automation is the use of agentic AI to execute, adapt, and govern complex enterprise workflows in real time—under human over the loop control. It enables enterprise AI systems to dynamically execute and adapt compliance and safety workflows using real time data and human over the loop governance, rather than static rules or manual processes.

Unlike static automation or task-based AI, agentic workflows continuously reason over live data, explain decisions, and initiate actions as conditions change, while ensuring that human experts remain responsible for oversight and final accountability. 

At 3E, Agentic workflow automation is purpose-built for high stakes domains where speed, accuracy, and human safety are inseparable. 

You absolutely can build your own AI agent. The real question is what it takes to make that agent reliable, scalable and defensible in a regulated environment.

Building an agent that generates answers is relatively straightforward. Building one that:

• Operates on continuously updated global regulatory intelligence
• Understands complex product and supplier portfolios
• Applies structured compliance logic
• Produces auditable, traceable outputs
• Integrates securely into enterprise systems

Requiring deep domain expertise, dedicated engineering resources and ongoing global content maintenance.

3E has already invested years building, testing and refining AI agents grounded in authoritative regulatory and safety data. That includes converting regulatory requirements into machine-operable formats, validating outputs against expert benchmarks and embedding governance into every workflow.

You can build it yourself — but doing so means committing significant time and long-term operational investment. With 3E, the intelligence, validation and enterprise guardrails are already in place, so you can move directly from experimentation to execution.

AI agents in compliance workflows are systems that interpret regulatory, safety and supplier data, then recommend or execute next steps within governed enterprise processes. Unlike generic assistants, they operate using authoritative data and portfolio context.

We bring over 35 years of regulatory, chemical, and EHS domain expertise, trusted data spanning 160+ countries and hundreds of thousands of substances. Our expert-interpreted content is maintained by regulatory professionals and proven “human over the loop” governance models mean people make the final decisions, not machines. 3E doesn’t automate for automation’s sake. We embed agentic reasoning into workflows that protect people, products, and brands.

3E AI agents are grounded in expert-curated regulatory intelligence, SDS data and supplier information. They operate within structured workflows, provide traceable outputs and align with enterprise governance standards.

Yes. 3E intelligence is designed to embed into enterprise systems such as ERP, PLM, procurement and EHS platforms, enabling AI agents to operate where decisions are made while maintaining security and access controls.

All AI agent outputs are grounded in structured, traceable data. Organizations maintain visibility into data sources and workflow actions, supporting audit readiness and regulatory defensibility.