We Turn AI Into EBITDA
— Not Decks, Not Demos, Not Hype
AI solutions built by operators for executives who measure success in financial impact, not innovation theater. Whether you're running a PE portfolio company or leading a division that needs to move fast — we deliver results in quarters, not years.


The AI market over-promises and under-delivers
The market is flooded with generic AI solutions sold by technologists who have never managed a P&L, met a quarterly target, or presented to a board. They build for enterprise timelines — 18-month roadmaps, multi-year digital transformations, and patient capital that most businesses don't have.
Two types of leaders feel this most acutely:
PE Operating Partners & Portfolio Company CEOs
You have a three-to-seven year hold period, an EBITDA target that governs every capital decision, and an exit clock that turns every initiative into an equity story. You need AI that delivers financial impact fast enough to matter within your investment horizon.
Division Leaders & Business Unit Executives
You have finite budgets, board scrutiny, and pressure to prove ROI before the next planning cycle. You need AI that works with your existing data and systems — not a science project that requires a two-year runway.
Both need the same thing: AI that delivers financial impact fast enough to matter, practical enough to work with existing systems, and documented well enough to defend at any level.
We don't sell AI technology. We deliver EBITDA improvement through AI — and we stake our economics on the outcome.
We know what AI actually is — and what it isn't
The market is full of companies slapping "AI-powered" on workflow automations and charging a premium. We don't play that game. We come from decades of building and operating real systems — we understand data architectures, business processes, technology platforms, and the fundamental value drivers that determine whether a solution creates real ROI or just impressive demos.
Honest Assessment
Sometimes the answer is a well-designed workflow automation — not a neural network. We'll tell you that. We'd rather build trust with an honest recommendation than revenue with an unnecessary one.
The Full Toolkit
When advanced AI is the answer, we bring the full stack — not just the buzzword of the month.
LLMs are one tool in our toolkit — powerful when applied correctly, wasteful when applied indiscriminately. We architect solutions around your problem, not around the latest hype cycle.
Built for speed, discipline, and measurable results
Assess & Align
We evaluate your data readiness, tech infrastructure, and organizational capacity — then map high-impact AI use cases directly to your strategic priorities. No boil-the-ocean strategies. We identify two to three initiatives that move EBITDA.
Prove It Fast
We launch proof-of-concept sprints in 2–4 weeks with pre-defined success metrics tied to financial outcomes. Every pilot has an executive sponsor, weekly KPIs, and a clear hypothesis linking to bottom-line impact. If it doesn't work, we pivot — fast.
Scale & Operate
Successful pilots scale into production. We can operate the solution for you — our "Performance as a Service" model means you pay for outcomes, not software licenses. Clean integration, full documentation, built for long-term value from day one.
We think like operators, not vendors
Typical AI Consultancy
Technology-first, timeline-flexible
Zenteck.ai
Operator-led, outcome-driven
We work especially well with PE-backed companies where speed, accountability, and exit-readiness are non-negotiable — but our approach serves any organization that demands measurable AI ROI.
We don't just advise. We operate.
Rather than selling software licenses and walking away, we can run critical AI-powered processes on your behalf — with economics tied to the outcomes we deliver.
Costs Aligned with Revenue
No large upfront CapEx. Our model converts AI from a capital investment to an operating expense that scales with your business — exactly what disciplined financial models prefer.
Risk Transfer
We assume the operational and technology risk. If the AI doesn't deliver, our economics reflect it. Your downside is bounded while your upside is uncapped.
No Talent Burden
You don't need to hire data scientists or AI engineers. We bring the domain expertise, the technology, and the team — eliminating the talent acquisition challenge that stalls most AI initiatives.
Clean at Exit or Transition
Our engagements are structured for portability. When priorities shift — whether it's a sale, a reorganization, or an in-sourcing decision — the AI capability transfers cleanly. No lock-in, no disruption.
AI that moves the numbers that matter

Built by an operator, not a technologist
Most AI consultancies are founded by engineers who learned business. Zenteck.ai was founded by an operator who builds AI products.
Frederic Ramioulle has spent 30+ years in the intersection of complex operations, enterprise transformation, and technology — at McKinsey, Alvarez & Marsal, A.T. Kearney, Honeywell, and Infosys. He has managed P&Ls from $50M to $500M, led organizations of up to 9,000 engineers, and driven turnarounds across automotive, aerospace, logistics, and industrial sectors.
"I've sat where our clients sit — presenting to investment committees, managing quarterly targets, building the narrative that justifies every dollar spent. I founded HOPTEK to prove that AI could run fleet operations with minimal human intervention. We didn't just theorize about it. We dispatched hundreds of trucks with software I helped create."
This dual fluency — in boardroom strategy and production-grade AI systems — is what makes Zenteck.ai different. We don't just understand the technology. We understand the financial model, the organizational dynamics, and the operating realities that govern every decision in a results-driven business.
Logistics & fleet operations: where we started
Our first domain of activity — and the proving ground for our approach. Multi-constraint optimization across fleets, warehouses, and distribution networks, where AI agents navigate real-time variables that overwhelm human decision-making.
Our modular architecture and operator-led approach are designed to expand across any complex operational domain — from workforce scheduling to healthcare operations to enterprise data management.
- —Autonomous truck dispatching and scheduling
- —Real-time driver management and HOS compliance
- —Inbound logistics optimization for OEMs
- —Predictive load planning and route optimization
- —Stakeholder communication via AI voice and text
- —Multi-modal network design and optimization

Build AI that actually matters
We're looking for engineers, consultants, and domain experts who are tired of building demos and want to build solutions that move real numbers. If you think like an operator and build like an engineer — we should talk.
Reach out to usLet's talk about turning AI into your next EBITDA line item
Whether you're an operating partner evaluating AI across a portfolio, or a business leader looking for the fastest path to measurable impact — we'd welcome the conversation.