About

We fix the workflow, information, and trust problems that make enterprise AI disappoint.

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

Built on 13+ years of enterprise data and AI work

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 with dual Microsoft MVP expertise spanning the data platform and AI ecosystem.

13+
Years of enterprise data & AI experience
4+
Industries served: healthcare, finance, tech, operations
MVP
Dual Microsoft MVP: Fabric & Foundry
Dual Microsoft expertise: data platform & AI

Our point of view

The gap between excitement and impact

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

The AI Advantage Framework

AI Fit & Governance

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.

AI-Ready Data

Working extraction pipelines, trust gap analysis, and remediation roadmaps. We turn document-heavy work and unreliable reporting into structured, decision-ready information.

Operational AI

An ops readiness scorecard and deployment blueprint. We move AI from promising experiments to workflows that hold up under real conditions.

Microsoft Intelligence

Ongoing advisory for teams making decisions about Work IQ, Fabric IQ, Foundry IQ, Copilot, Fabric, and Foundry. Practical guidance grounded in real architecture.

How we think differently

AI as force multiplier, not magic layer

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.

The questions that matter

  • What outcome matters enough to measure?
  • What information does that outcome depend on?
  • Can people trust the output enough to act on it?
  • Can the workflow survive real operating conditions?

We focus less on novelty and more on the business reality underneath.

Proof over posture

Visible operational change, not abstract claims

4h+
Per manager, per week
Hours saved through a Copilot-enabled leadership reporting workflow.
96.7%
Extraction accuracy
Critical medical record extraction, reducing error by roughly 73% versus manual processing.
AI→Ops
Smoother model releases
Better visibility, workflow, and coordination for AI model release processes at a major hyperscaler.

Who we work with

Organizations serious about results

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.

Ready to make AI actually work?

Start with a focused conversation about where it fits.

Submit the workflow causing the most friction → See what we do →