AI training taught inside the work your teams already do
We help environmental consulting firms train staff on practical AI, find the workflows where hours turn into minutes, and take repetitive work out of reporting, operations and the back office — without compromising client confidentiality or professional judgment.
5 hours → 10 minutesRegulatory research per review, after one compliance and engineering team built its own AI assistants in the program. Result from real client engagement — see all results ↓Recognized in the industry
- Environmental Business Journal, 2026 AI issue
- Featured alongside WSP, GZA and other leading firms on AI adoption in environmental consulting.
- EBI Annual Conference
- Featured speaker on AI-driven efficiency and data workflows in environmental consulting.
- EBJ Environmental Technical Innovation Award, 2024
- Recognized for the first AI screening tool for Phase I ESA data, developed with Citadel EHS.
Built for firms where senior time goes into documents
Most environmental firms are already using AI — unevenly. A few people have found real uses; most are experimenting on their own, with no shared rules and no way to know what’s working. Leadership can see the interest and not the return.
The time that matters is senior time: the hours partners and project managers spend reading regulations, reviewing reports, assembling proposals and answering the same internal questions. That is where AI, used deliberately, gives capacity back — and where it needs review rules that clients will accept.
Our training starts from those workflows, not from the tools. It is the same approach behind our AI Phase I ESA Report Writer and our comparison of Phase I ESA software: the machine drafts and finds; the professional reviews and decides.
How the program works
Built from hundreds of hours talking with environmental consultants about where time is lost, and more than 10,000 hours of hands-on AI work in the sector.
- 01
Alignment and discovery
We start with leadership: what AI should and shouldn’t touch, and early discovery calls that show where time, talent and margin are going.
- 02
Early-adopter pod
A small cross-functional group of people ready to try things and share what works. Together we pick the workflows where hours can turn into minutes.
- 03
On-site sprint
A full day with the pod on real projects — group sessions and breakouts — producing quick wins and measured time savings your team can point to.
- 04
Follow-up and scaling
Structured check-ins to reinforce what stuck, refine results and turn each participant’s use case into an internal case study your champions can spread firm-wide.
Where it leads: an AI Workflow Diagnostic when you need a roadmap before you spend, Microsoft 365 Copilot training for teams on Microsoft, and custom and agentic AI workflows when one process is worth building properly.
What firms have unlocked
Regulatory research
98%less time per review
5 hours → 10 minutes
A compliance and engineering team built AI assistants that locate and summarize relevant regulations in minutes — eliminating manual search and re-entry work.
Report quality control
90%less review time
4–5 hours across several reviewers → under 30 minutes
Before reports go out the door, several people spend hours checking style guides, spacing, fonts and consistent terminology. Using the same framework, one team automated those checks — reducing what was nearly a full-time task to minutes per report.
Safety Data Sheet processing
30 minper batch, down from a full day
6–7 hours per batch of safety data sheets → 30 minutes total
By converting a fully manual workflow into a semi-automated process, data extraction now runs quietly in the background while the team continues other project work.
HR and IT chatbots
≈ 3,200 hrsof capacity reclaimed each year
1,600 hours saved in HR · 1,600 hours saved in IT
Chatbots now answer everyday HR and IT requests — time off, policies, benefits, passwords, software, installs — instantly, freeing both teams for more impactful work.
Firms are unlocking capacity not by replacing people but by taking the repetitive parts out of their week. The advantage goes to the ones who set the rules first.
Why environmental firms work with FlipType
First to market
We built the first dedicated AI Phase I ESA report writer, so we know the distance between an impressive AI output and a production-ready environmental workflow.
Industry-specific
Environmental consulting is the only sector we work in. We know the review rules, the client restrictions and the documents.
Security first
Every engagement begins with your acceptable-use policy and your client contracts. Nothing is trained on client data.
Measured, not promised
Each sprint produces use cases your team timed themselves — the evidence leadership needs to decide what comes next.
Trusted by environmental firms
Common questions from firm leaders
Security and clients
4 questions
We already have a tech team — why would we need you?
Your IT or engineering team keeps the company’s infrastructure running. Our focus is different: helping staff at every level learn how to use AI inside their own work. We collaborate with your tech leaders so that together we strengthen both the technology and the people who rely on it every day.
How do you handle data security and client confidentiality?
Security comes first. Before we begin, we meet with your internal tech team to define acceptable-use policies — what can and can’t be shared with AI tools. We work entirely within your compliance framework and client contracts, ensuring every exercise is safe and auditable.
What if our clients prohibit the use of AI in project work?
That’s common in regulated industries. We help teams identify where AI can be used safely — for internal research, drafting, or QA — without crossing any client boundaries. The result is clarity: staff know exactly where they can benefit from AI while staying fully compliant.
How do you address compliance and internal policy requirements?
Compliance is built into onboarding. We align with your leadership and technology teams before training begins to make sure every session fits within your internal policies and any external client requirements.
Your people
5 questions
How do you handle change management and avoid disrupting our operations?
We don’t come in like a bull in a china shop. We start small — building an internal consortium of early adopters who believe in what they’re doing and can demonstrate results. These pods become your internal evangelists. Rollout happens gradually over months so the change takes root, even though the training itself only takes a few hours per person.
Some of our senior staff aren’t as tech-savvy as our junior team. Will they struggle?
Not at all. While junior staff may adapt quickly, senior professionals often see the biggest breakthroughs. Their expertise, combined with AI, produces dramatic efficiency gains. Once they see it in action, they recognize immediately how it elevates their work.
Our staff is skeptical — what if this doesn’t work?
Skepticism is normal. Many teams have tried AI and felt disappointed by hallucinations or inconsistent results. We explain why that happens, show how to prevent it, and demonstrate improvements in real time so skepticism quickly turns into confidence.
How much time will this take for our staff?
Each early-adopter pod typically invests about five hours per person to reach comfort and competence. That limited time commitment builds internal advocates without interrupting billable work.
How do you prevent “training decay” once sessions are complete?
AI isn’t a passing trend — it’s a fundamental shift, much like electricity or the internet. Once teams see how it accelerates their work, they keep using it. Because these tools become part of everyday tasks, the learning stays fresh and keeps evolving.
The program
4 questions
How do you define success from this program?
Success shows up in two ways. First, your people think differently — they can spot where AI adds value and use it confidently in their day-to-day work. Second, they generate measurable results: during on-site sessions, tasks that once took hours often drop to minutes. Each pod leaves with its own mini case study proving the impact.
Is this training specific to environmental consulting?
Yes. Everything we teach is grounded in environmental consulting. With more than 10,000 hours of applied experience in this industry, we design every example and exercise around real environmental projects and data. For a sense of the tools your teams already work with, see our comparison of Phase I ESA software.
What about the cost of AI tools?
We focus on practical, stable platforms that most firms already use. We avoid trendy “wrapper” tools that become obsolete overnight. Our goal is to keep costs predictable while teaching teams to get the most from technologies that are here to stay. If your firm already licenses Copilot, our Microsoft 365 Copilot training is about getting those seats used well.
How soon do pods see measurable results?
Immediately. During the first on-site session, participants experience tangible improvements — often in the first hour. They leave that day with clear examples of how AI streamlines their work and where the biggest opportunities lie.
Let’s talk about what this could look like inside your firm
No pitches. No prep. Just a short conversation about what’s working — and what’s possible next.






