AI at RISE: Where It Earns Its Place

Yes, RISE uses AI. The real question worth asking isn't whether we use it. It's whether the tool fits the problem. In business aviation, that distinction decides whether your schedule is a best guess or a best result.

Here's how we think about it, and how we build it.

Where AI Earns Its Place at RISE

AI already does meaningful work across our platform and inside our company.

Machine learning has powered parts of RISE from day one. We use it to analyze how operators actually interact with our tools, then feed those patterns back into our algorithms so the software adapts to real-world workflows rather than theoretical ones. The system gets sharper the more it's used. A key area of current research focuses on helping clients recover from an unstructured, chaotic situation (AOG or other).

Internally, we leverage AI across our engineering discipline: documentation, automated testing, quality assurance, and code assistance. It accelerates how we ship, which means faster improvements for our clients.

The same logic applies beyond engineering. AI is a natural fit for accelerating the work that keeps the business running: marketing, administration, meeting note-taking, research, and the everyday operational tasks in between. Wherever it saves time without compromising quality, we use it, so the team can focus on the decisions that actually require human judgment.

The Engine: Mathematically Guaranteed Optimization

For the core of what OPTIRISE does, building the best possible schedule for your fleet, we chose a more rigorous path.

OPTIRISE™ is powered by a purpose-built operations research (OR) algorithm. For scheduling problems with defined constraints and structured data, OR delivers something even the most advanced AI models cannot: a provably optimal solution. We don't approximate your schedule. We solve it.

This isn't a rejection of AI. It's the right tool for a specific class of problem. When the question is "what's the best assignment of aircraft, crews, and slots given these rules," mathematics gives an answer with guarantees. Machine learning gives a pattern-matched approximation. For operators running multi-million-dollar fleets, the difference matters, and it compounds every day, across every leg.

Why the Hybrid Wins

Flight operations aren't a single problem. They're a layered one: structured at the center, uncertain at the edges. So we match the method to the problem.

• Operations Research provides the rigorous framework and deterministic resolution at the core.
• Artificial Intelligence complements it by managing uncertainty, interpreting patterns, and supporting fast, adaptive decisions around that core.

Together, they deliver reliability, flexibility, and measurable efficiency gains. One without the other leaves value on the table.

What It Delivers

RISE supports fractional and charter operators of every aircraft type, across based and floating fleets, with fleets of all sizes. Our clients consistently report improved fleet and crew utilization after deploying OPTIRISE™.

Behind those results is a simple operating principle: continuous improvement. When a new challenge arises, we test, analyze, and deploy the best combination of tools, guided by one question:

What actually works best for the client?

We use AI where it wins. We use operations research where it wins more. Our clients get the better result either way.

A Note on Transparency

This article was written with the help of generative AI, used where it adds value (for synthesis and clarity), under the author's supervision for framing and opinions!