AI Platform Encamp Transforms EHS Compliance for Waste Generators Amid Californias Complex Regulations
In a recent interview with Waste360, Encamp CEO Luke Jacobs explained how the company’s system is turning the traditionally reactive task of environmental, health and safety (EHS) compliance into a proactive, strategic function for waste generators.
The core of the transformation lies in the way Encamp’s software interprets and applies the patchwork of federal, state and local regulations that govern waste, chemicals and air emissions. Jacobs noted that the most difficult compliance challenges arise not from a single rule but from the cumulative effect of many rules that vary by jurisdiction. "The most complex requirements don’t stem from any individual obligation. They come from all of them and how they change across multi‑jurisdictional operations," he said.
California stands out as the most demanding state for waste generators. The state’s regulations include additional requirements for small‑quantity generators, differences among certified unified program agencies and the 2025 SB‑14 hazardous‑waste source‑reduction law. Jacobs said that these intricacies make California a benchmark for the industry.
To manage this complexity, Encamp offers an environmental data system that embeds regulatory knowledge into the software. The platform tracks waste generation, e‑manifest data, reporting obligations, compliance calendars and tasks. More importantly, it translates regulatory requirements into actionable tasks for facility managers. "Because we’re built as a system of action rather than a system of record, Scout reads your real obligations and turns them into executable tasks," Jacobs explained.
Scout, Encamp’s AI engine, monitors federal and state rules in real time, drawing on the company’s knowledge base and integrating with federal data systems. The AI provides continuous oversight of a company’s programs and can recommend actions. Jacobs emphasized that the system is designed to be defensible: Scout always shows its reasoning, cites the underlying regulation and requires user approval before any change is made.
The platform also handles e‑filing to federal systems, state and local requirements, and even payment processing. It is used by environmental teams across a range of industries, from manufacturing to healthcare, who need to manage complex compliance cycles.
Emerging regulatory concerns that the platform addresses include PFAS monitoring, extended producer responsibility, and the evolving record‑retention rules for e‑manifest data. Encamp uses Scout to analyze safety data sheets for contaminants and PFAS in historical records and to track documentation as waste moves through treatment, storage and disposal facilities.
Jacobs warned that the biggest risks of using AI in compliance are over‑automation, lack of rules and a failure to understand the "why" behind the work. "If you don’t understand your own data and you’re just trusting AI to act on it, especially with no one who truly understands it, that’s a problem," he said. He stressed that human oversight remains essential: AI should compress the data‑collection phase and give people more bandwidth for strategic decisions.
Looking ahead, Jacobs predicts a shift toward continuous, real‑time monitoring and stronger explainability standards as regulators and customers demand transparency. "From there I’d expect continuous, real‑time monitoring rather than point‑in‑time checks, and explainability standards firming up," he said.
For organizations considering AI for compliance verification, Jacobs advises starting with a narrow scope that tackles a time‑consuming internal process. He also recommends evaluating vendors on the quantifiable amount of work AI can remove from the compliance team.
Encamp’s approach illustrates how AI can serve as a force multiplier in regulated environments, turning a fragmented, reactive compliance process into a streamlined, proactive system that supports both regulatory requirements and business strategy.