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HighFlyer

Name: HighFlyer
Address: Suite 15703 Unit A/26 Hobson Street, Colombo 03, 1010, LK
Telephone: +442032394486

Web design. Custom software. AI automation. From New Zealand, for businesses worldwide. Strategic insight meets engineering excellence.

HighFlyer was founded with a vision to bridge the gap between strategic business consulting and technical implementation. We recognised that many organisations struggle to translate strategic initiatives into practical software solutions. Our journey began with a small team of consultants and engineers who shared a passion for solving complex business challenges through innovative technology. Toda

y, we specialise in custom software development, AI automation, and system integrations—building everything from SaaS platforms to intelligent chatbots and API-driven solutions. Headquartered in Auckland, HighFlyer now serves clients globally as a trusted partner for digital transformation. We combine deep technical expertise in areas like payment integrations and enterprise systems with strategic insight to help organisations leverage technology for competitive advantage.

12/08/2026

Eligible New Zealand businesses can now get up to $15,000 in co-funding for practical AI work.

That is a useful opportunity. It is also a good reason to slow down before choosing a tool.

If it were our business, we would spend the first part of the project following one piece of work from start to finish. How does an enquiry become a quote? What happens to an order before it becomes an invoice? Where does someone retype information, chase an approval or check whether another person has done their part?

That usually tells you more than an AI demo.

The answer may be an AI assistant. It may be a small integration, a better form, or a change to the process that costs very little. The point is to find the constraint before deciding what to build.

The AI Advisory Pilot offers eligible businesses co-funding of up to 50%, capped at $15,000. Used well, that money can reduce the risk of solving a problem you already understand. It should not be used to make an unclear idea feel more credible.

We are happy to look at the workflow with you before anyone starts choosing technology.

If you could remove one repeated piece of admin from your week, what would it be?

10/08/2026

Most briefs are written around the point where the pain becomes visible.

“We need a CRM.”
“We need an app.”
“We need AI to answer customer enquiries.”

Any of those requests may be right. But they are not a diagnosis.

Take the CRM request. If enquiries are being missed because messages land in several inboxes and nobody owns the next step, adding a CRM can simply create another place nobody checks.

This is why we spend time following the work before recommending software. We want to see where it begins, who touches it, where it waits and what happens when the usual person is away. It is not glamorous, but it is often where the answer appears.

Sometimes we do end up building the thing in the original brief. Other times we connect tools the business already has, remove a step, or change the handover between two people.

A tailored solution is not standard software with a different logo. It is the smallest sensible change for the way that particular business works.

If a recurring problem keeps returning, we are happy to help trace it back to the source.

Have you ever bought software for a problem and later found the real issue was somewhere else?

05/08/2026

A short code is not just four digits.

It may look simple to a customer: an order update arrives, they reply with a question, and the business responds.

The work behind that exchange is less visible.

The short code needs to be set up across the New Zealand mobile networks it must reach. The message needs to identify the sender. Consent must be recorded. Replies have to reach the right person or system. STOP must work by text and without charging the customer. The business also needs a reliable record of what was sent, received and actioned.

Then there is the integration itself.

The order update might start in an ERP. An appointment reminder might come from a booking system. A payment reminder might be triggered from accounting software. A reply might need to update the CRM or create a task for a team member.

We have built and operated two-way SMS platforms and integrated them with business systems. That experience matters because a working SMS integration is not only about making a technical connection. It is about getting the whole customer journey, network setup and compliance process working together.

If your business is considering SMS for order updates, bookings, reminders or customer service, we are happy to talk through what the complete setup involves.

Where could a well-timed text remove a delay from your customer journey?

03/08/2026

A customer should not wait while someone searches three systems for an order update.

They have already placed the order. Now they want a simple answer: has it shipped, when will it arrive, or is something holding it up?

This is one of the routine customer-service jobs we designed Conductor to complete from start to finish.

When a customer asks about an order through email, WhatsApp or another connected channel, Conductor can identify the order, check the live business record and reply through the same conversation.

For example, the record for order 1048 might show that it was packed this morning, courier pickup is booked for today and delivery is expected on Friday. Conductor can send that confirmed update immediately, without asking a staff member to copy information between systems.

The important word is confirmed. Conductor checks the current record before replying. It does not make up a delivery date or rely on an old summary.

When the information is clear and the business rules are set, the whole update can run automatically.

If information is missing, the order is delayed, the records conflict, a refund or dispute is involved, or something looks unusual, Conductor hands the conversation to a person with the relevant details already gathered.

The check and the reply remain recorded, so the team can see exactly what was communicated.

Your team handles the cases that need judgement. Conductor handles the repeated checking and status replies.

Which customer question sends your team searching through multiple systems?

29/07/2026

Cheaper AI is only useful if it can prove it can do the job.

Before we trust an affordable AI with routine business work, we test it on situations it will actually face.

A straightforward customer enquiry should be handled correctly and within the agreed rules.

A missing order number should trigger a question, not a guess.

A sensitive refund request should go to a person.

Then we repeat the tests. One good answer can be luck. The aim is to see whether the AI meets the same business standard consistently.

We also check what information it sees, where the data goes, what gets recorded and which cases must stop for review.

If the affordable option meets the task's quality and data rules, it can handle routine work. If it struggles or the case is uncertain, the job moves to a stronger AI or a person.

That is how lower-cost AI becomes useful. Not because the provider says it is good, but because it has been tested against your business standard before it reaches customers or records.

OpenComply NZ gives this decision a practical structure. It helps businesses compare AI options against the work, the risk and the rules that apply.

What would an AI need to prove before you trusted it with routine work?

27/07/2026

A business card should not spend three weeks in someone’s pocket.

The conversation was useful. The contact may be interested. But the card is waiting on a desk, the lead is not in the CRM and nobody has set the follow-up.

This is one of the routine jobs we designed Conductor to complete from one photo.

Send the card through WhatsApp or Telegram. Conductor reads the name, company, role and contact details, creates or updates the CRM lead, records where you met and any useful context, then prepares the next follow-up for the date you asked for.

When the details are clear and the business rules are already set, the whole job can run automatically. If an email address is hard to read, a digit looks uncertain or an existing contact may be a duplicate, Conductor stops and asks before saving the wrong information.

The business still decides which CRM fields matter, how follow-ups should be assigned and which actions require approval. Conductor handles the copying and reminders.

One photo becomes a lead your team can actually act on.

How many business cards or lead emails are still waiting to be entered?

22/07/2026

The most expensive AI is not always the right AI.

A lot of routine business work is now being handed to the same premium AI used for difficult analysis: sorting enquiries, checking forms, summarising documents, drafting standard replies and reading invoice details.

That can be a needlessly expensive way to get ordinary admin done.

The OpenComply NZ approach starts with the job rather than the AI brand. What information will it see? What does a good result look like? Which mistakes are unacceptable? Does the service meet the business's privacy, security and record-keeping requirements?

Then we choose the most affordable option that reliably passes those checks.

If the work is difficult, sensitive or uncertain, it can move to a stronger AI or pause for a person to review. The business decides the rules and keeps control of the cost.

This is not about choosing the cheapest AI. It is about paying for the standard the task requires, rather than paying a premium for every task by default.

Where is your business paying premium prices for routine AI work?

20/07/2026

A new sales enquiry should not create six admin jobs.

But that is what happens in many small businesses.

A lead emails with their requirements. Someone reads the conversation, copies the details into Xero, prepares the quote, sends it, sets a reminder, then checks again three days later.

None of those steps is difficult. Together they slow down the response and make good leads easier to lose.

This is the kind of job we built Conductor to handle.

It can read the full email conversation, understand what the customer is asking for, create or update the contact in Xero, prepare and send the quote, and follow up automatically if there is no reply.

The business sets the rules.

A routine quote within agreed pricing can go from enquiry to follow-up without anyone touching it. If the request includes an unusual discount, an unclear requirement, sensitive information or a value above a set limit, Conductor pauses and asks the right person.

That is the difference between AI that answers a question and a personal assistant that finishes the job.

We tailor Conductor to the systems, wording, approval rules and working style of each business.

Which part of your enquiry-to-quote process takes the most time?

15/07/2026

The best AI automation usually starts with one repetitive handoff.

Imagine a service business gets a message from a customer asking for a quote.

Simple request.

But inside the business, that one message often becomes five small handoffs.

Check the customer history.

Look at the calendar.

Ask who is available.

Find the previous job notes.

Draft the quote.

Wait for approval.

Send the reply.

Update the task list.

None of those steps are dramatic. But that is exactly why they get ignored when people talk about AI.

The biggest opportunity for AI automation in SMEs is not replacing entire roles overnight.

It is reducing the small operational drag that happens hundreds of times a month.

We do not think the right answer is to let AI run the whole process.

A practical AI agent should collect the request, pull the right context, prepare the next action, and ask a human before anything sensitive is sent or approved.

That is where the value is.

Not "AI made a decision".

More like: "AI prepared the decision so the team could move faster."

For operators, this is the right question to ask:

Where does your team lose time because information is sitting in one place, but the action needs to happen somewhere else?

That is usually the best place to start.

12/07/2026

Last month our Principal Consultant visited Alibaba Cloud in Hangzhou. A boutique, bootstrapped tech company from New Zealand sitting across the table from one of the biggest cloud providers in the world.

We punch above our weight at HighFlyer. It's how we've always operated. We build meaningful relationships with world-class companies so we can bring the best of what's out there back home to New Zealand.

And right now, the best of what's out there includes open source AI. Alibaba Cloud is home of the Qwen models, but that's not the whole story. They host a wide range of open source models on infrastructure that spans continents, from the Americas to Asia. That kind of reach matters when you're thinking about where your data sits and how your AI workloads run.

While in Hangzhou, we also visited Westlake University. It's a special place. China's first privately funded research university, deliberately kept small, built around deep research rather than scale. Walking through a young institution set up purely to push the frontier of science was a reminder of how seriously this region takes fundamental research.

A few honest observations from where we sit:

Inference cost is going to be the next big hurdle for AI implementation. Not model quality. Cost. You've probably seen the headlines. "Uber burned through its entire 2026 AI budget in four months" was Fortune's recently. If a company that size can blow its AI budget in a third of a year, imagine what unmanaged inference costs could do to a Kiwi SME. This is exactly why model choice and vendor neutrality matter.

Compliance in NZ is still cloudy. Data residency, governance, all of it is still taking shape.

None of that stops us. On the compliance front, we're working with NZ compliance experts and open sourcing our own framework, OpenComply NZ. It's built to help any organisation in New Zealand navigate AI compliance when using large language models. It's a work in progress and we'll keep updating it as the landscape evolves. You can find it here: https://highflyerglobal.com/services/ai-automation/opencomply-nz/

And on the technology front, we keep working with great inference providers and vendor-neutral platforms that host these open source models. That way our customers get the best technology without being locked into anyone's ecosystem.

Our mission is to empower New Zealand with bleeding edge tech. Not to sign deals with proprietary labs, lock in our customers and control them.

Hangzhou was one stop on that journey. More to come.

Address

Suite 15703 Unit A/26 Hobson Street
Colombo 03
1010

Opening Hours

Monday	08:00 - 17:00
Tuesday	08:00 - 17:00
Wednesday	08:00 - 17:00
Thursday	08:00 - 17:00
Friday	08:00 - 17:00

Telephone

+442032394486

Website

http://highflyerglobal.com/

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