Service · AI solutions Wellington
AI consulting and custom AI for business in Wellington: automation, AI assistants and workflow integrations for the capital, the Hutt, Porirua, Kapiti and Manawatu. Remote-first delivery, in the room when it counts.
Wellington is the most process-heavy business city in the country. Professional services firms, government suppliers, tech companies and not-for-profits all run on documents, approvals, reporting cycles and contracts, and most of that is still moved by hand. That is exactly the kind of work AI automation takes on well.
Every engagement starts with a free discovery call. You walk me through the process that eats your week, I tell you honestly whether automation will help, and if it will you get a fixed price in writing before anything is built. For Wellington clients the discovery and the kick-off can be in person, because it is a one-hour flight, and the build, testing and deployment are done remotely with weekly check-ins, just as they are for my Auckland clients.
Travel is only ever quoted when an on-site visit is part of the agreed scope, and it is capped up front. You will never see it appear on an invoice as a surprise.
Tender and RFP response drafting from your past submissions, compliance and progress reporting in the agency's format, timesheets against panel contracts, and invoicing that matches each agency's rules without re-keying.
Client intake and conflict checks, document review and summarisation, engagement letters, time capture from email and calendar, and an internal assistant that answers from your own precedents and policies.
Support-ticket triage and drafting, AI features inside your own product, sales-call summaries into the CRM, and an internal company brain across Slack, docs and tickets so new staff stop asking the same questions.
Funding applications and acquittal reports drafted from your records, member enquiries answered automatically, event and volunteer scheduling, and grant reporting that no longer takes a week each quarter.
Quotes from plans and specifications, consent and compliance document handling, subcontractor invoice matching, site reports written from photos and voice notes, and scheduling across crews.
Crew and contractor onboarding paperwork, call sheets and schedules, rights and release tracking, client proposals drafted from briefs, and invoicing across many short engagements.
Most AI automation work is technical discovery, integration code, testing and deployment, and none of that cares which city you are in. The moments that benefit from being in the room are the kick-off workshop, training and the post-launch review, and I travel for those. Several of my clients are outside Auckland and the engagement runs identically: weekly video check-ins, shared project documentation and a test mode before anything touches live data.
If you are comparing this with an Auckland engagement, see the AI automation Auckland page; for the South Island, AI solutions Christchurch. For the full list of what I build, see AI business solutions NZ.
I am based in Auckland and work with clients across New Zealand. Wellington is an hour's flight, so kick-off workshops, training and post-launch reviews happen in person when the project warrants it, and the build itself is done remotely, as it would be anywhere.
Yes. A lot of Wellington business is supplying, contracting to or reporting to government. Automation that handles tender responses, compliance reporting, timesheets against panel contracts and invoice formats for public-sector clients is common work, and audit trails and data residency are designed in from the start.
By default in AWS Sydney, inside an account you control. Where a contract or an agency's security requirements demand it, NZ-only or on-premises deployments can be built. Nothing is used to train public models.
Discovery is free. Most first projects land between NZ$500 and $15,000 as a fixed price agreed before anything is built, and simple automations can be live in under a week. See the pricing page for the full ranges.
A free 30-minute video call is enough to work out whether AI is the right tool for what you are trying to do, and what a realistic first project would look like.
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