FIG. — TRUST, DATA & AI
AI creative is only useful if it's safe to put your name — and your client's — behind it. Here's how we think about data, ownership, and responsible AI on every engagement. Not a fixed checklist, a discipline we build into the system we make for you.
01 — DATA & SECURITY
Every system we build is unique to the client it's built for, so the exact tools and controls differ each time. What doesn't change is how we reason about your data. These are the standards we hold every build to.
PRINCIPLE 01
We configure the tooling in each build so client assets, briefs, and brand material are not used to train public or shared models. The goal is simple: what goes in for your client stays for your client.
PRINCIPLE 02
One client's assets, prompts, and outputs are never reused to produce another's. Each workflow is scoped to its own brand.
PRINCIPLE 03
Only the people working on your engagement can touch your material, and we can tell you who and how.
PRINCIPLE 04
We keep source material and outputs only as long as the engagement needs, and remove them on request.
Why this is built per-client: a fashion brand running a viral UGC campaign and a brand protecting unreleased product imagery have different risk profiles. We map yours during the pilot and build the controls to match — then document the toolchain so you can answer your client's questions in writing.
02 — IP & OWNERSHIP
The output exists to run as your client's ads — so ownership has to be unambiguous. We make it explicit in writing on every engagement.
PRINCIPLE 05
Final creative we produce or that your workflow produces is yours (and your client's) to use commercially.
PRINCIPLE 06
We assemble each system from tools whose terms permit commercial output, and we document the stack so your client's legal or brand team can review provenance.
PRINCIPLE 07
We never show a client's work, name, or results publicly without written permission. Demo material is labelled as demo.
03 — RESPONSIBLE AI
Your clients are forming their own AI policies in real time. Part of what we provide is helping you stay ahead of those conversations — so AI adoption is a credibility gain, not a risk.
PRINCIPLE 08
Every system we build keeps human review and a QA bar between generation and "live." Volume never comes at the cost of someone with judgment signing off.
PRINCIPLE 09
Where a platform, client, or audience expects AI-generated or synthetic content to be disclosed, we help you do it correctly — and flag where it's required rather than optional.
PRINCIPLE 10
We build to your client's brand standards and content guidelines, not generic defaults — so output is on-brand and avoids the failure modes (off-brand claims, misleading imagery) that create real risk.
PRINCIPLE 11
If your client has — or is writing — an AI usage policy, we help you map our process to it, so you can say yes to AI work with confidence instead of guessing.
Our stance in one line: we'd rather tell you "this format isn't ready" or "this needs disclosure" than ship something that puts your client relationship at risk. Trust compounds; one bad asset doesn't.
04 — THE HONEST VERSION
We deliberately don't publish a frozen list of tools and settings, because every system we build is unique to the client it's for, and the AI landscape moves monthly. What's constant is that we treat these questions as part of the build, not an afterthought — and we put the specifics for your engagement in writing, so you and your clients can rely on them.
This page describes our approach, not legal terms. Specific data-handling, IP, and confidentiality commitments for your engagement are set out in your agreement. For your own clients' legal or compliance questions, we'll provide engagement-specific documentation in writing.
Start with a proof batch on one of your clients. You'll see the quality, the process, and how we handle your material — before any larger commitment.
RUN A PROOF BATCH →