AI for environmental compliance
Your data is why the pilot failed — not the model.
Most AI projects at environmental and engineering firms don't stall because the technology isn't good enough. They stall because permit conditions and regulations live in PDFs and senior people's heads, past projects aren't searchable, and the review behind every filing was never written down. Green Owl fixes those foundations first, then ships the two or three compliance-document workflows that actually give your team hours back.
Built for environmental and engineering firms drowning in compliance documents
This is for principals and compliance leads at environmental consulting firms — and the environmental and compliance teams inside civil and engineering firms. The risk-averse, heavily regulated, document-driven side of the business: permit applications and renewals, monitoring and compliance reports, hazardous-waste and discharge filings, regulatory deadlines that don't move, and decades of past projects that only a few people really know how to navigate.
You don't need another dashboard or a company-wide "transformation." You need a handful of specific, tedious, high-volume tasks to take less time, without adding risk to work that has to be right — and that regulators will read. If you tried an AI tool once and quietly shelved it, you're exactly who I built this for.
The model is not your problem
The tools available today are more than capable of drafting a permit narrative or pulling a monitoring report together. What trips them up is everything underneath: inconsistent file naming, regulations and standards that contradict each other, scanned PDFs nobody has touched in years, and institutional knowledge that was never written down. Point a capable model at that, and it will hand you confident, plausible, wrong answers — which is worse than no answer at all in regulated, deadline-driven work.
That's why I start with readiness, not technology. Get the documents, data, and process into shape, and the AI part becomes almost boring. Skip that step, and no model on the market will save the project.
A clear path, three steps
Most engagements move through the same ladder. You can start at the top and stop whenever you've got what you need — there's no obligation to take the next step.
Readiness Audit
Find out why AI hasn't stuck — and what's actually worth automating.
A short, fixed-scope engagement to look hard at your documents, data, and review processes. We map where the real time goes, identify the two or three workflows where AI will genuinely pay off, and name the gaps you'd need to close first. You come away with a plain-English assessment and a prioritized plan — not a sales pitch.
Workflow Build
Ship the two or three workflows that save real hours.
We build and put into production the compliance-document workflows that matter most — drafting and assembling permit applications and renewals, pulling together monitoring and compliance reports, checking filings against the regulations that govern them, or turning a decade of past projects into something your team can actually search. Spec and drawing review against codes and RFI triage fit here too. A defined timeline, working tools, and your people trained to run them without me in the room.
Light Retainer
Keep it working, and grow it carefully.
A small monthly engagement to maintain what's running, handle the edge cases that only show up on real projects, and add the next workflow when the timing is right. Month to month, no lock-in. The goal is for you to need me less over time, not more.
Someone who lived this work — then went deep on AI
I came up doing the regulated environmental document grind myself — and built software, Green Owl Compliance, for exactly this kind of work — before spending years building production AI systems. I know what a monitoring report, a QA/QC review, and a permit deadline actually involve, and I know how much of "AI" only works in a demo. That combination is the whole point: the workflows I build respect how compliance work really gets done, and the data foundations they sit on get taken seriously.
- No rip-and-replace. I work with the systems you already have.
- No black boxes. You'll understand and own what gets built.
- No lock-in. The retainer is month to month.
- No hype. If AI isn't the right tool, I'll tell you.
Not sure where AI actually fits in your firm?
That's usually the right place to start. A short call is the easiest way to find out whether there's something worth doing here — no pitch, no deck.