About
Marquee Insights exists because too much AI work gets framed as a tooling problem when it is really a decision, information, and operating-model problem. We help organizations close that gap—with focused engagements, explicit deliverables, and outcomes you can measure.
Who is behind this
Marquee Insights was founded by Treb Gatte, a senior enterprise consultant who has spent over a decade helping organizations turn data into operating advantage—across healthcare, financial services, technology, and AI-intensive operations.
Before founding Marquee Insights, Treb led complex data, reporting, and AI engagements for organizations ranging from mid-market firms to major technology companies, including a hyperscaler's model release operations. That experience shapes everything about how we work: start with the business outcome, pressure-test the information underneath it, and build systems that hold up when the work gets real.
Marquee Insights is a Tumble Road LLC company and a Microsoft Certified ISV Partner—with dual Microsoft expertise spanning the data platform and AI ecosystem.
Our point of view
Most AI disappointment starts the same way: a company buys a powerful capability and expects value to show up automatically. It rarely does.
The difference between excitement and business impact is usually not the model. It is the clarity of the use case, the quality of the information, the trust in the outputs, and the discipline of the workflow around it.
That is where we work.
What we deliver
A scored matrix, a 90-day plan, and a clear kill list. We help leadership decide where AI fits—before buying tools or launching experiments.
A working extraction pipeline and production-grade benchmark. We turn document-heavy work into structured, usable information.
A trust gap analysis, metric definition sheet, and remediation roadmap. We make reporting and AI outputs trustworthy enough to act on.
An ops readiness scorecard and deployment blueprint. We move AI from promising experiments to workflows that hold up under real conditions.
How we think differently
We do not treat AI as a magic layer you bolt onto existing chaos. We treat it as a force multiplier that only works when the surrounding conditions are strong enough to support it.
We focus less on novelty and more on the business reality underneath.
Proof over posture
Who we work with
We work with organizations that are serious about getting more value from AI but do not want more theater, more disconnected pilots, or more vague productivity promises. They want a clearer starting point, stronger operating foundations, and visible outcomes.
Start with a focused conversation about where it fits.