Do I need to know what should be automated?

No. Most people arrive with a feeling rather than a specification — something takes too long, or only one person can do it, or it gets dropped whenever the week is busy. That is enough to start from. If you can point at one job you would gladly stop doing by hand, we can work with that. If you can’t point at one yet, start with the free diagnostic instead: it finds the constraint first, and the workflow follows from it.

What happens with the first workflow?

We build it. You describe the job the way you would explain it to somebody starting on Monday — what comes in, what you would check, what should go out, and what you would never let leave without reading it. That becomes a working workflow, connected to the tools you already use, running on your account. You watch it run on real work before you rely on it. One workflow, start to finish, so what you are judging is a thing that works rather than a proposal for one.

What happens after that?

It runs. Keeping it running is the recurring part — hosting, the models it calls, monitoring, and the fixes for when something upstream changes its mind about a field name. Most people then add a second workflow, and it is usually one they spotted themselves while watching the first one work. There is no bundle to commit to up front. The next workflow is a decision you make when you want it, and not before.

Can my team eventually build workflows themselves?

That is the intended end state, and the training exists for it. Once your team has watched a few workflows get built, the skill turns out to be the describing — knowing what the work actually involves and where the judgment sits — which is the part your team already has. Some businesses would rather we kept building, and that is a legitimate choice rather than a failure. Most want at least one person inside who can change something without picking up the phone.

Do I become dependent on hmn.plus?

It is the right question to ask any vendor, and the honest answer is that you can be for exactly as long as it is useful. Three things are deliberate: the workflows are described in plain language rather than locked in a format only we can read, they run on infrastructure that can sit in your own name, and we teach the building instead of keeping it. Being the only people who can change your systems would be a business model. It is not ours.

Can we eventually own the system?

Yes, and it is an option rather than a destination — plenty of businesses would rather we kept running it, and that is a reasonable thing to want. When you do want it, the workflows, their definitions and the infrastructure transfer to you, and your team keeps the training that makes them usable. We would rather you stayed because staying is worth it.

The first automation is a fixed price, so the first decision is a small one: NZ$500 + GST to map it and get it built. After that, the platform it runs on is NZ$150 + GST a month for each person who builds workflows — everyone else who uses it is free — and that covers hosting, running your workflows, monitoring and support. Workflows you build yourself cost nothing extra; the ones we build are quoted one at a time, on what each actually involves. No annual lock-in, and nothing larger to sign before you have seen something of your own working.

Why not use ChatGPT, Claude, Zapier or n8n?

They answer a different question. Chat tools put something capable on the other end of a conversation, and then nothing happens unless a person types — every session starts again, and what the business knows ends up living in whoever writes the best prompt. Zapier and n8n wire apps to each other; the wiring holds until a field name changes, and it never makes a judgment call. Both leave the work depending on a particular person. What we build has a fixed shape: the same steps in the same order, your rules written in, a record of every action and the reason for it, and a person standing where a person should stand. The thinking inside a step can be as sharp as it needs to be. The path through it does not change because somebody phrased something differently. That is the difference between a tool one person is good at and a system a business runs on.

Where should AI actually be used?

On the judgment inside a step, not on the whole step. Reading an enquiry and working out what kind it is: yes. Drafting a reply in your voice, from your own past replies: yes. Moving money, or telling a client something binding, with nobody looking: no. What we build to is that anything with consequences waits for a person, and everything in front of it does not have to. A faster version of a bad process is still a bad process, which is why deciding where AI belongs happens before anything gets built, and is most of the value.

Streamlining Video Content with AI Editing

Embracing automation in video content creation

Creating video content can be a significant time sink, especially if you're managing it manually. You've got a message to share, but you're drowning in tasks that aren't in your zone of genius. Let's cut through the noise and get strategic before tactical. We’ve built a workflow that might just save your sanity—and amplify your reach.

The AI-powered video editing solution

Here's the challenge: you're recording stellar content, but the backend tasks of editing and publishing are overwhelming, eating away your productive hours. Most automation fails, but what we’ve developed doesn’t. Why? Because we built it driven by our need and understanding of these pain points.

Our system—a workflow without the fuss—utilizes an AI backend to scoop up your videos directly from Google Drive. No API calls except those pesky LLM calls. Once the videos are fetched, the magic begins: automatic editing, transcription, captioning, and highlight creation.

Seamless integration with your daily tools

We get it—switching apps and workflows is not what you need. That's why we've designed this solution to fit naturally into your existing setup. Record your video, save it to Google Drive or even send it via WhatsApp. The system seamlessly integrates without skipping a beat.

Your video is quickly processed. AI extracts transcripts, crafts engaging captions, and identifies key highlights, making it ready for short content generation. All this happens with minimal intervention from you, allowing you to maximize human creativity instead of grinding through mundane tasks.

Going beyond basic edits

The system doesn't stop at simple snips. It intelligently creates video cuts to enhance interest and engagement—because a well-placed pivot can make or break your content’s impact. Our workflow doesn't just automate, it elevates. It's about outputting outcomes, not just activities.

Once curated, your content is set to auto-publish across multiple platforms. More human per hour, without compromising quality. The system empowers you to maintain focus where it counts—on conveying your message effectively.

A glimpse into the future

The dream is a world where creating content is as seamless as having a conversation. Our AI workflow is a step in that direction. It’s not about relying on AI for everything but using it strategically to enhance what humans do best—create.

Through a mix of recording on-the-fly and structured workflows, your video content creation is transformed from a burdensome task into an efficient, engaging process. This approach allows you to spend more time crafting messages that resonate rather than bogging down in technological intricacies.

Getting strategic, staying efficient

If you've been grappling with the complexities of content creation and dissemination, it's time to get strategic before tactical. Let our AI-powered editing workflow lift the weight. Free yourself to drive meaningful conversations with your audience, leveraging our technology to do the heavy lifting behind the scenes.

Embrace automation where it matters most, and focus on creating content that's authentically you. More human per hour—that's the promise, and we're delivering it.