Most businesses chat with AI. Yours should run on it.
Wattle Labs is an AI implementation consultancy. The foundations engagement sets up the layer everything else depends on: the right tools, a knowledge base with your business in it, versioned repositories, and automations that actually run.
What gets installed
Setup and tooling
The right AI tools for your stack, configured with sane accounts, permissions and spend controls. No tool sprawl, no orphaned subscriptions.
Knowledge bases
Your products, policies, tone and process structured so AI answers with your business context instead of generic guesses. The single highest-leverage piece.
Repositories
Content, code and configuration in version control, so every AI-made change is tracked, reviewable and reversible. This is what makes AI safe to let loose.
Working automations
One or two real workflows shipped end to end, reporting, monitoring, content pipelines, so the value is proven before anything scales.
This exact stack runs a $5m Australian store today.
Nightly SEO monitoring, conversion audits, customer service insights, automated reporting. All of it built on the same foundations layer this engagement installs: knowledge bases, repositories, measured automations.
Common questions
What does an AI implementation consultant actually do?
The work most businesses skip: choosing the right tools for your stack, setting them up properly, building the knowledge base your AI works from, putting your content and code in versioned repositories, and wiring the automations so they run without you. Advice is cheap. Implementation is the product.
What are AI foundations?
The base layer that makes every other AI system work: accounts and tooling configured with sane permissions, a knowledge base that gives AI your business context instead of generic answers, repositories so changes are tracked and reversible, and one or two working automations that prove the pipes. Without this layer, AI stays a toy.
We already use ChatGPT. Why would we need this?
Chat is the surface. The gap between a team that chats with AI and a business that runs on it is context and plumbing: your data connected, your knowledge structured, repeatable workflows that do not depend on whoever wrote the best prompt. That gap is exactly what the foundations engagement closes.
How much does an AI consultant cost in Sydney?
Foundations engagements are scoped from a free consultation, and the market for this class of consulting in Australia typically runs $2,000 to $6,000 per month or fixed-scope equivalents. No lock-in contracts, and you own everything we build: accounts, repos and knowledge bases are yours.
What do we own at the end?
Everything. The repos, the knowledge base, the automations and the documentation are set up in your accounts. If you never call us again, all of it keeps working and your team knows how to run it.
Book the free foundations consultation
Twenty minutes on your stack, your team and where AI genuinely fits. You leave with a shortlist either way.