White-label AI production, delivered under your brand

The pitch is won. Now what?

Here is a pattern we see again and again with agencies in Auckland, Wellington and across the Pacific. The team is sharp, the client trusts them, and they close the AI or automation pitch — "we'll generate your whole product catalogue with AI", "we'll automate your reporting", "we'll build you an assistant". Everyone shakes hands.

Then the last mile hits. The demo that wowed the client in the room turns out to be a long way from a finished, on-brand, client-ready deliverable. The tools are fiddly, the outputs are inconsistent, the automation breaks on edge cases, and the one person on the team who "knows AI" is already overloaded. The gap between the demo and the delivery is where good agencies quietly lose money, miss deadlines, or hand back a result they're not proud of.

That gap is exactly what a white-label AI production partner exists to close.

What "white-label" actually means here

White-label is a word that gets thrown around, so let's be precise about what we mean. When we say we deliver under your brand, we mean:

• Your name on everything. Deliverables, file names, presentation, tone — all yours. We adapt to your brand and your house style, not the other way around.
• We don't exist to your client. We don't email them, we don't join their calls unless you want a silent technical hand, and we never publish their project as our case study without written permission.
• NDA by default. Confidentiality isn't an upsell. It's how the whole arrangement works. Discretion is the product.

In short: you look like you have a serious in-house AI production capability, because functionally you do. It's ours, and it answers to you.

What we deliver

We deliberately keep the offer to what we can ship reliably and at quality. Three lanes:

1. AI visual & video production

This is the highest-volume need. Product shots, lifestyle scenes, ad creative, full social sets, story and reel covers, short motion clips — produced with AI pipelines, then cleaned up and made genuinely usable. The honest selling point is volume and speed: tens of on-brand visuals in the time a traditional shoot would take to schedule. We handle the messy part — consistency, brand fit, the dozen rejected variants nobody sees — so what lands in your client's inbox just works.

2. Workflow automation

Less glamorous, often more valuable. We map a repetitive process — reporting, content repurposing, lead handling, data entry, file shuffling — and automate it end to end, so a task that ate hours a week runs on its own. Sometimes it's for your client's operations; sometimes it's for yours, to give your team back the hours the AI pitch was supposed to free up in the first place.

3. Custom AI agents

Assistants, internal tools and chatbots grounded in real data rather than the open web. The principle we hold to is the same one behind our private AI systems: the agent answers from your verified content, so it doesn't confidently make things up. A support assistant trained on the client's actual documentation. An internal tool that turns plain questions into answers from their own database. Built to be reliable, not just impressive in a demo.

Why agencies use us instead of building it in-house

It's not that an agency couldn't learn all of this. It's that the maths rarely works. Here's the trade-off, plainly:

Building AI delivery in-house vs. a white-label partner

Concern	Hire & build in-house	White-label partner
Time to deliver	Months to ramp a team	Live on the next project
Cost structure	Fixed salaries, idle between jobs	Per-project or per-deliverable
Tooling & upkeep	Your problem to chase	Handled, invisibly
Risk on a missed deadline	Yours alone	Shared, scoped up front
Client relationship	Yours	Still yours — entirely
Net effect		Capacity without headcount

You get the capability without carrying the headcount, the tool subscriptions, or the risk of a hire who turns out to be wrong for the work. You turn a fixed cost into a known, per-project cost you can price into your quote.

Relationships, not volume

We're upfront about how we want to work: we'd rather build a handful of real, long-running relationships with agencies than churn through one-off jobs. That shapes everything. We say no to work we can't deliver well. We give you an honest read at the audit stage instead of selling you a project that's going to disappoint your client. And when something goes sideways — because sometimes it does — we'd rather fix it openly than protect a margin.

This is the same posture we take on every engagement, whether it's a Kanak heritage project or a commercial build: reliable, private, useful, and grounded. If you want to see how that translates into finished work, our case studies are the honest version, not a highlight reel.

How an engagement works

We keep the front door simple, because the first conversation should de-risk things for you, not commit you.

• Free audit. You bring the brief, or the project you're stuck on. We assess it and tell you plainly whether we can deliver it, how, and roughly what it takes. Start with an AI opportunity audit.
• Scoped offer. If it's a fit, we scope it as a fixed-price project or a per-deliverable rate — so you know your cost before you quote your client. No mandatory retainer to begin.
• Quiet delivery. We build, under your brand, to your standard, on the agreed timeline. You stay the single face to your client throughout.

Where we are

Kanaky Tech works between Auckland and New Caledonia, with agencies across New Zealand and the wider Pacific. The mix is deliberate: a foothold in a mature NZ market plus deep roots in the islands, with the time-zone overlap and cultural fluency to be genuinely available to both. If you're an agency carrying AI or automation work you've sold but haven't shipped, that's precisely the problem we're built to take off your plate — quietly, and under your name.