Case Studies
Real results from real businesses.
The team services a mortgage and KiwiSaver book across a small number of advisers. Re-fix windows were getting missed, refinance opportunities sat buried in the CRM, KiwiSaver enquiries arrived faster than anyone could respond, and client documents came in with every possible filename and format. They wanted to handle more clients without adding headcount — and they wanted to own the system that made it possible, not rent it.
On hmn.plus, the team designed and built their own advisory operations layer. They shipped a daily process that surfaces expiring fixed-rate mortgages and turns them into servicing opportunities with the client and adviser already looped in. They built a fortnightly refinance scan that delivers a ready-to-action target list to the whole team. They built a digital KiwiSaver advice funnel where a client completes the quiz and a recommended fund, projection, and full set of CRM records are produced in one shot. They built post-meeting follow-up drafts in the adviser's own voice from the call transcript, lead-sheet enrichment for the telemarketing team, and an auto-classifier that renames and files incoming client documents to the firm's standard. Every one of those workflows was built by the firm, on the platform — not delivered as a black box.
Re-fix and refinance opportunities that used to go cold are now actioned on time, every cycle. The KiwiSaver side operates as a self-serve advice channel — clients onboard themselves and advisers supervise. Follow-ups go out the same day instead of the same week. The firm handles more of its book without adding seats, and because they built the system themselves, they can change it themselves whenever the business changes.
“Diego and the tools he's created have managed to alleviate one of the most frustrating problems we have faced for years. Being able to successfully communicate to developers, IT professionals and others exactly what outcomes we need to make our business run smoother and become more profitable as a result. By being able to create our own outcomes as they come up it's been revolutionary. We're now looking at our own business differently and seeing what can be automated at nearly every step.”
The firm was carrying the same load every brokerage carries: manual CRM data entry, post-settlement compliance write-ups, inbox triage, and a deal pipeline whose status depended on whoever updated the CRM that morning. The owner didn't want to outsource the problem or hire around it — they wanted a back-office their business actually owned.
Using hmn.plus, the team built their own operations layer on top of their existing CRM and email stack. They designed and shipped workflows that push new client, household, property, income, KiwiSaver and mortgage records into the CRM without anyone retyping them; that draft application notes, recommendation write-ups, and post-settlement compliance reviews against their own standards; that triage inbound email; that turn meeting calls into action items; and that watch the deal pipeline continuously so nothing slips. None of it was built for them — they built it.
The brokerage now runs a back-office it controls end-to-end. Adviser hours that used to disappear into admin are back on the calendar. Compliance documentation gets produced on every deal the same way, every time, instead of reconstructed from memory. Pipeline status is visible in real time. The firm has no dependency on an outside vendor to keep any of it running — the system belongs to the business.
“Diego at hmn.plus has been amazing. He made things seem easy and achievable from the outset and answered all our questions. Diego spent time patiently making sure we could use the technology, and that we were using services that are the best fit for us. It is still early days, and there is a lot of work to train our complex agents, but the process is enjoyable and we are already finding they are saving time and energy. We believe the benefits will increase as our business grows. Diego continues to be of assistance and is open to feedback. We are extremely grateful.”
Rosefern is a Christchurch property developer: land acquisition, feasibility, construction, and sales, all carried by Ant and a small team. The operational load was enormous — scanning TradeMe and commercial platforms for developable sites, running feasibility models by hand, drafting sale-and-purchase agreements, chasing supplier quotes, keeping solicitors' correspondence straight, tracking every build's status, and answering the same site questions again and again. Ant had seen plenty of AI demos, but nothing that actually did the work of a property-development back office.
On hmn.plus, Ant and the team built their own operations layer across the whole business — acquisitions, feasibility, construction, finance, and sales. They shipped a daily digest that scrapes TradeMe for developable Christchurch land, classifies zoning with AI, and lands it in the acquisitions inbox; a commercial-deal scanner that scores investment-grade sites on yield and lease security; a one-day feasibility brief that runs Rosefern's own model — inflation, S-curve interest, sensitivity, IRR, and a GO/WALK call; an agreement drafter that turns a one-paragraph offer outline into a filled ADLS PDF and a ready-to-send email; a weekly register that files every supplier quote into the right project folder; a site-team Q&A responder walled to the construction documents; a weekly CFO cashflow brief; a daily sales brief off the live stocklist; a build orchestrator that scans the team's mailboxes each morning and briefs every lead; and a single-pane dashboard showing what each project is waiting on. Every one of them drafts into Ant's inbox as the approval gate — he reads and taps send. None of it was delivered as a black box; the team built it and owns it.
Rosefern now runs its acquisition-to-build pipeline on a system it controls end-to-end. Sites that used to cost a day of manual feasibility get a GO/WALK brief on demand. Supplier quotes, solicitor correspondence, and project status no longer live in one person's head — they're captured, filed, and surfaced every morning. Ant starts the day with a single decision brief instead of digging through four inboxes. And because the team built the workflows themselves, they can change any of them without waiting on a vendor.
“This isn't Chat GPT or another LLM, this is the stuff that will change the workplaces of the future... For business owners looking to bridge the gap between AI curiosity and real world application, well worth spending the time and money to be a few steps ahead.”
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