AI Consulting for New Zealand businesses
An honest assessment of what AI could do for your business, before you spend the budget building it, from engineers who run AI features in production every day.
AI consulting has become a crowded label for two very different things: a slide deck about AI trends, or a genuine assessment of whether a specific AI feature is worth building for your specific business. Corvidae offers the second kind, informed by running generative AI, computer vision, OCR, retrieval-augmented generation and MCP agent servers in our own live products every day.
If you already know what you want built, our AI development and integration service covers the build itself. AI consulting is the step before that: working out whether the idea is worth building at all, and how to build it well if it is.
What AI consulting covers
AI opportunity assessment
An honest look at where AI could genuinely help your business, and where it would just be an expensive feature nobody uses.
Feasibility
Whether the idea is technically achievable with current models, at a cost and latency that makes sense for your use case.
Architecture
How AI features fit into your existing systems: where data comes from, where it is grounded, and how outputs get back into your workflow.
Model selection
Choosing between generative, vision or retrieval-based approaches, and between model providers, based on the specific task rather than a default choice.
Data readiness
What data you actually have, what state it is in, and what needs to change before an AI feature could be grounded in it reliably.
Privacy
How data flows through an AI feature, what stays inside your own environment, and what a provider does and does not retain.
Implementation roadmap
A staged plan from assessment through prototype to production, sized to your budget and risk appetite rather than an all-or-nothing rebuild.
Cost estimation
A realistic estimate of what a feature will cost to run in production, not just what it costs to build, since the two numbers are often very different.
Prototype and proof of concept
A working prototype against your real data before you commit budget to a full production build.
Production rollout
Taking a validated prototype into a monitored, cost-controlled production feature, the same process we use on our own AI products.
Proof from our own AI products
Frequently asked questions
Do you build the AI feature as well as consult on it?
Yes, if you want us to. Consulting can stand alone as an assessment and roadmap, or continue into the build. Either way we run the assessment first so the roadmap is grounded in what is actually feasible.
How is AI consulting different from your AI development service?
AI consulting is the assessment, architecture and roadmap work that should happen before a build starts. AI development is the build itself. Many engagements start with consulting and move into development once the plan is validated.
Can you tell us if AI is not the right answer?
Yes. An honest assessment sometimes concludes that a simpler, non-AI solution solves the problem better and cheaper, and we will say so.
Do you have real production AI experience, not just consulting theory?
Yes. We run generative AI, computer vision, OCR, retrieval-augmented generation and MCP agent servers in our own live products every day, so recommendations come from what has and has not worked in production.
How long does an AI consulting engagement take?
An opportunity assessment is typically a short, fixed-price engagement measured in days rather than weeks. A full assessment through prototype takes longer, scoped to the specific initiative.
Ready to build?
Once an AI idea is validated, our AI development and integration service covers the build, evaluation and production operation.
AI development and integrationConsidering an AI feature?
Tell us what you are considering. We reply within one business day with an honest read on feasibility, cost and scope.
Get a technical assessment