You start with one bottleneck, not a platform. The most common mistake we see is buying a tool before knowing the problem. We look at where your team spends days on work that follows a predictable pattern — estimates, document review, intake, scheduling — and we begin there. One workflow, measured, before anything scales. Survey after survey finds the same thing: the barrier isn’t access to AI anymore, it’s knowing where to begin.
No. The economics have flipped. The companies seeing the clearest returns aren’t the ones with the biggest budgets — they’re the ones who pick the right first workflow and measure it. If you’re an owner-led business doing document-heavy work, you are exactly who this pays off for.
It depends on the workflow, but the right first project usually pays back in weeks to a few months, not years — because we deliberately target the work costing you the most time today. We won’t take on a project we can’t tie to dollars saved or made. If we can’t see the ROI, we’ll tell you.
That’s the wrong fear. In the work we do, AI does the slow first pass — pulling data out of a 200-page lease, drafting the estimate, sorting the intake — and your people review and decide. It removes the grind, not the judgment. The usual result is your existing team handling more without you having to hire for volume.
It can, and that’s exactly why a system needs to be built right. We design workflows where AI handles the heavy lifting and a person verifies the output before it counts — never AI making the final call unchecked. Done properly, you get the speed without betting your reputation on a machine’s guess.
This is the right question to ask, and most vendors gloss over it. We build with your data governance in mind — what can be processed, what stays in-house, where it lives, and who can see it. We’ll tell you plainly which of your information is safe to run through AI and which isn’t.
Ask anyone selling you AI one question: what dollar figure does this move, and how will we measure it? Real solutions have an answer. Hype has a demo. We measure in time reclaimed and money saved or made — if a project can’t be tied to that, we don’t recommend it.
Yes — and the funding landscape has shifted hard in your favor. Major foundations and tech companies have committed hundreds of millions to AI-readiness grants for nonprofits, much of it aimed at mid-sized organizations that get overlooked. Part of our work is helping you position for that money, not just spend your own.
Funding failure is rarely a mission problem. It’s almost always a positioning, infrastructure, or evidence problem — and it’s usually invisible from the inside. We look at the pattern across your submissions and find what funders are actually reacting to, so you stop guessing.
More than you’d think. They check your board, your financials, your filings, your partnerships, and your public profile — and form an impression you never get to answer. We assess your fundability the way a funder would, then help you close the gaps before the next application goes out.
Disclosure norms are still forming, and they vary by funder. The bigger risk is accuracy — AI can invent statistics and citations that read as real. Every number and claim in a proposal has to be verified against your actual data before it’s submitted. We help you use AI to write faster without putting your credibility at risk.
Yes, and this is often the highest-value place to start. Funders fund evidence, not intentions. We help build the outcome-tracking and reporting systems that turn what you’re already doing into the measurable impact funders require.
It starts with a conversation about where the work is piling up. From there we run a focused diagnostic to find the highest-value bottleneck or fundability gap, scope a first project we can measure, build it alongside your team, and confirm the result in real numbers. We start small and prove it before anything scales.
A focused first project is usually weeks, not months — that’s by design. We’d rather deliver one measurable win quickly than disappear into a year-long transformation. Longer relationships grow from that first proof, at your pace.
No. That’s our job. Rob has thirty years in software and technology leadership and three years building fully agentic AI systems; we translate all of it into plain terms and handle the technical side. You bring knowledge of your business; we bring the build.
Engagements are scoped to the work, because a single-workflow project and a full strategy build aren’t the same size. After an initial conversation we give you a clear scope and price before any commitment — no open-ended billing, no surprises. The first question we answer is whether the return justifies the cost. If it doesn’t, we’ll say so.
Camille and Rob Gaudet — a husband-and-wife advisory team based in South Louisiana, married in New Orleans in 2023. We work side by side, solving the same problem from different angles. Between us: sixty years of operating experience, thirty in software and technology leadership, thirty as a Louisiana business leader, ten running a nonprofit, and three building agentic AI systems.
Because the big consultancies won’t show up for a company or nonprofit your size, and the ones that do send junior staff and a template. You work directly with us — the people doing the thinking — and we’re local. We measure success the way you do: in results.
No. We serve owner-led businesses and nonprofits across South Louisiana — Lafayette, Baton Rouge, and New Orleans. We’re rooted here and we work throughout the region.
Tell us where the work is piling up. Email hello@trustlight.com or call 504-302-8656, and we’ll set up a conversation about what’s possible. No pressure, no pitch deck — just a straight read on whether we can help.
