Precision Thinking
We read the rights, the market, and the room before anyone touches a keyboard. We audit before we build, and we'll tell you when the answer is not yet.
Intelligent agency for artificial intelligence.
Policies. Restrictions. Contract clauses. You need them, and they're right.
But nobody has written down what a good agreement looks like.
Amplist lets you say yes — with insight, strategy, and clear terms.
Precision Thinking.Boundless Creativity.Accountable Execution.
For creators and the stewards of their work
Amplist is a firm of experts who understand audience, IP, and consent, advising our clients in making rights-sensitive decisions that serve the underlying creative work.
Most AI consultancies are generalists who can wire up a model for anyone. We only work in the one place AI is hardest and highest-stakes: work that someone made, someone owns, someone is accountable for.
We read the rights, the market, and the room before anyone touches a keyboard. We audit before we build, and we'll tell you when the answer is not yet.
No ceiling on what we'll imagine from what you already own. We've found the most valuable thing in an archive is usually the thing nobody thought to catalog.
Every use authorized, credited, and recorded. Defined scope, a real end date, and an off switch that works. Bring your board.
We are like you and it is the reason the work is shaped this way. We treat your body of work as more than raw material, because we do so with our own.
Managing Partner
More than 25 years of executive experience across the corporate and non-profit sectors developing integrated programs for AT&T, L'Oréal, Exxon Mobil, Dell, Microsoft, and Walmart. His non-profit work spans membership organizations, professional associations, and cultural institutions, including Rotary International, the Radiological Society of North America, and the American Dental Association.
Managing Partner
Inventor, systems architect, and technology executive with 20+ years building businesses and products around emerging technology. Former CEO and co-founder of NNOXX, multiple issued patents, BS in Computer Science and Software Engineering, and MBA. He brings a builder's approach to AI strategy: find the valuable problem, design the system, and make it real.
We read the rights, evaluate the catalog, and put the answer in writing — including when the answer is not yet.
Five kinds of work. Most organizations arrive needing one and end up caring about two.
How the work actually gets done today, and which tools genuinely help the way you run. Which to adopt, which to skip, and how to set up the ones that hold. The unglamorous half, and usually the fastest return.
What you hold, what you hold on someone else’s behalf, and what you are permitted to do with either. Most organizations have never had this written down in one place.
One clear view of the people who engage with the work, assembled from sources you already own.
When the inventory points somewhere worth going, we design and build it: on documented consent, with attribution attached.
If this should be paid from a capacity-building grant or a designated gift rather than program budget, we help build the request: the case for support, the project budget, and the scope in the language a funder expects.
You made the work. You should set the terms.
It's more than the finished work — the ideas, the methods, the process, the conversations. You made all of it, and most of it has never been organized, evaluated, or shown to anyone new. The terms for how AI uses creative work are being set right now, by whoever shows up.
Writers, composers, playwrights, architects, photographers, filmmakers.
It's their legacy. You should steward how it lives on.
You carry two obligations at once: the work of the people who came before, held in trust on behalf of those who are not here to speak for themselves, and the working lives of the people coming next. Everything we build runs on a consent scope somebody actually granted — traced, recorded, legible to your board or an estate. Where the scope doesn’t cover it, the answer is no, and we say so early.
Estates, foundations, museums, theaters, orchestras, archives, universities, libraries.
Authorized AI engagement, with the audit trail to prove it.
Every AI conversation inside a studio, a label, or a publisher runs into the same wall: the agreements on file were written before anyone imagined this use. So either the catalog sits idle because nobody will authorize a use they can't trace, or it gets used and becomes exposure. If one contract in the catalog doesn't cover a use, that's the ceiling for the whole catalog until someone fixes it.
Publishers, labels, galleries, studios, and catalog owners.
If you're the person who has to come back with an answer about AI, to a board, to an estate, or to yourself, this is for you.
We advise. We advocate for you. And we define the tools that actually fit — not the ones somebody is trying to sell this quarter.
The tools are downstream of the advice, and the advice is downstream of what is actually true about what you hold. Nobody sells you anything on the way to finding that out.
Every recommendation is tested against what it does for the people whose work this is.
One team from the first conversation through the first month after launch. You will know who to call, and it will be the person who did the work.
Some archives are not ready. Some rights questions need answering before anything gets built. We would rather lose a project than hand you a problem.
Rights work precedes build work. Always.
One guided conversation, plus a short follow-up form for the counts nobody answers from memory. It ends with a plain answer to a question most vendors will not give you: whether this is the right moment for you at all.
The deep inventory across four tracks — the work, the rights, the data, and the workflow. Scoped and priced as a defined scope of work before it begins.
Findings → Concept → Build → Launch, sized to what the audit actually found. Quoted on its own, approved on its own.
Nothing rolls forward automatically. Nothing is priced on a percentage of something you cannot yet see.
Two stages, and you can stop after either. Amplist Readiness Review — no fee. One guided conversation, plus a short follow-up form for the counts nobody answers from memory. It ends with a plain answer to a question most vendors will not give you: whether this is the right moment for you at all. Amplist Audit — the deep inventory across four tracks: the work, the rights, the data, the workflow. Scoped and priced as a defined scope of work before it begins.
What the audit found, put against what it could do: amplify your mission and generate new revenue. Almost every audit turns up something the organization had not realized was valuable — and a rights question nobody had written down.
Only if the answers point somewhere. Concepts scored on rights position and real demand, sequenced into a ranked roadmap with the rights work first — with a detailed timeline and budget, for you to decide whether the investment matches your needs.
We design and build what the audit calls for, with your team, inside your security perimeter, on your data, owned by you.
What we hand over is the operating model: the process your team runs after we're gone, not the AI system by itself. We train your teams, set the review gates that protect creative judgment, and hand over the keys.
Nothing rolls forward automatically. Every stage is quoted on its own and approved on its own.
What we will not do. A few limits worth stating. Nothing we build generates content in anyone's style. Scraping by other people isn't something software can stop — that's a legal fight, not a technical one. We identify and sequence the rights work, but clearing it is your counsel's job. And we don't train on your material: your data stays yours, never pooled, never sold, and it leaves with you when you do.
Intelligent agency, applied to artificial intelligence.
Start with the Readiness Review. Commit to nothing else.
One conversation, no deck. Tell us what you are looking after and what is worrying you, and we will tell you honestly whether we are useful.