26 years inside NZ business. Now helping firms cut through the AI hype, pick the right tools, and put working AI into operations by Monday, not someday.
Built for NZ professional services and SMBs
Built around what businesses actually need from an AI advisor in 2026: a clear-eyed audit, a stack that fits, workflows the team uses, and a plan to keep both the regulator and the CFO happy.
A 2-week structured diagnostic. Where you are, where AI can add value, what's noise. We rate your stack, your data, your team, your compliance posture, and produce a prioritised roadmap.
There are 600+ AI tools claiming to do your job. Most don't. We match-make the right ones for your specific business and budget, with the receipts (real comparison testing, not vendor pitch).
Not slides about AI. A working workflow your team uses on Monday. We embed with your team for 4-12 weeks, build the workflow, train the users, and hand it over running.
Especially relevant for regulated industries (financial advice, accounting, legal). FMA, IRD, Privacy Act, copyright, data residency. We map your AI use against the rules and tell you what's safe.
4-6 hours a month, ongoing. Strategic oversight without hiring a full-time head of AI. Reviews, vendor calls, board-level updates, and sanity-checks before you sign anything new.
Practical workshops, not theoretical AI. "Here's how you use Claude / ChatGPT / Copilot for your actual day job." One day on-site, then four weeks of structured practice with weekly check-ins.
Most AI consulting engagements end with a slide deck and a hopeful look. We end with a workflow your team uses, with documentation, with measurable ROI, and a plan for what comes next.
Understand the business, the existing stack, the team's capability, the constraints. Output: structured audit, risk register, top-10 ROI candidates.
Prioritise the candidates by impact and effort. Sequence them. Choose the tools. Get sign-off from the people who'll actually use it.
Build the first workflow. Embed with the team. Iterate. Measure. Ship to production once it's doing what we promised.
Models change. Vendors disappear. Compliance rules tighten. We can stay on as fractional AI director, or hand it cleanly to your team with documentation.
The market is full of consultants who'll convince you that AI is the answer to questions you haven't asked yet. The first job is to tell you honestly where AI moves the needle in your business and where it doesn't. Sometimes the answer is "not yet."
The headline tool is rarely the one your team should use. The winning stack is usually a quiet workflow combining 2-3 tools you've already heard of, configured well, with rails around them. Boring beats brilliant when the goal is daily use.
Picking the right model gets you 20% of the value. The other 80% is the workflow around it: where it slots into the team's day, what they do with the output, how they verify it. Most failed AI projects are failed workflows, not failed models.
In NZ, regulated industries (financial advice, accounting, legal, health) have specific rules about what AI can and can't do, where data can sit, what disclosure is required. These get harder every year. We build compliance into the workflow on day one, not as an audit afterthought.
Most NZ firms are spending money on AI tools they don't use, while ignoring AI tools that would change everything. The gap isn't capability. It's clarity.Craig Coupland · Founder, Coupland Consulting
A mid-sized NZ accounting firm came to us evaluating AI tools to compete with the Big 4 firms' new offerings. They had been pitched by 23 vendors in six months. None had stuck.
We ran a Readiness Audit. Mapped their existing stack against the 23 candidate tools. Pruned the list to 4 on real fit (not feature parity). Live-piloted the top 3 inside the firm with 12 senior accountants over 4 weeks. One winner emerged clearly.
We deployed inside 9 weeks total. The firm is now using it daily across all 12 senior accountants. The other 22 vendor pitches have been cancelled. The MD has time back.
Illustrative engagement pattern · real client outcomes published with consent only
Most IT consultants stop at "here are the tools, good luck." Most strategy consultants stop at "here's a slide deck, good luck." We do both ends and the middle: clear audit, tools that fit, working implementation, and ongoing review. The deliverable is a workflow your team uses on Monday, not a deck the executive team reads once.
Most engagements start with a 30-minute call to scope the problem. From there, the typical sequence is a 2-week Readiness Audit, then 1-2 weeks of tool selection, then 4-12 weeks of workflow implementation. Some clients then move onto a fractional AI Director monthly retainer. Some hand it back to their internal team with our runbook. Both are fine.
An end-to-end engagement (audit + tool selection + first workflow deployment) usually lands between $25k and $60k depending on scope and team size. Ongoing fractional AI Director is $2.8k+GST/month for a 4-hour commitment. Standalone services start at $4.5k. All quotes are fixed-fee, no hourly billing.
Yes, and this is where we add the most value. Financial advice (FAP-licensed firms), accounting, legal, and health all have specific rules about AI use, data residency, disclosure, and supervision. Craig's CFP and FAP background means we speak that language fluently.
Then we tell you. Plenty of firms aren't ready. Sometimes the bottleneck is data hygiene, sometimes team capability, sometimes leadership alignment. The Readiness Audit will tell you specifically what to fix first, in what order, before AI is even worth attempting. That conversation alone saves clients tens of thousands.
Yes. Craig founded Wealth Health (Tauranga financial advisory firm) in 2014 and still runs it. Coupland Consulting is a separate practice, focused on AI strategy for businesses. Different brand, same person, same standards.
One email a month. What's actually changed in NZ-relevant AI, what's hype that fizzled, and one short case pattern from the field. Built for time-poor business owners, not AI tourists.
30-minute discovery call. No deck, no pitch. Tell us about your business and we'll tell you, honestly, where AI might help and where it won't.