Why we built AskLore

I run an IT company in Albury-Wodonga.

For most of our existence, the work has been the practical, unglamorous side of technology — networks, devices, software licences, the 7am call when something won't start. The kind of work that keeps things running rather than transforming anything.

We've been doing this for businesses in our region for years. Hospitality venues, medical practices, trade companies, retailers, allied health providers. We know what their operations actually look like from the inside — not the version people talk about in conference presentations, but the real version. The owner who handles payroll from their phone at 10pm. The manager who is the single point of contact for every question the team can't answer. The procedures that exist in one person's head and nowhere else.

So when AI became impossible to ignore, we were paying attention from a specific vantage point.

What we saw — and what we tried

Around 2023, every client conversation started brushing up against it. Had we heard about ChatGPT? Should they be using it? What would it actually do for their business?

The interest was genuine. We were excited too — we could see the capability clearly. So we went looking for ways to put it to work.

We experimented with ChatGPT. We built custom GPTs, fed them documents, tested them with staff at client businesses. We looked at every platform that claimed to bring AI to business operations. We spent a significant amount of time on this, because we genuinely believed in what it could do.

The technical capability was real. The application wasn't.

Generic AI models don't know your business. They'll tell you about "typical hospitality procedures" — not your hospitality procedures. They fabricate information with total confidence. They have privacy implications that a medical practice or legal firm can't ignore. And keeping them accurate required enough ongoing technical effort that it fell to us — which meant it only worked for clients prepared to pay for an IT company to maintain their AI knowledge system indefinitely. That's not scalable. It's not what small business owners need.

Custom GPTs were closer to the right idea, but setting one up properly required technical knowledge that excluded most of the people who needed it most. Every time the procedures changed, someone had to re-upload the documents and test the outputs. The friction was always just high enough that it didn't stick.

We kept looking. We couldn't find what we needed.

The moment it clicked

One of our long-term clients — a business in our region that a lot of locals would recognise — had this problem in a particularly acute form. They had good people. They had documented procedures. They genuinely cared about how their team operated.

And the owner's phone rang constantly.

Not for genuine emergencies. For questions. The kind that should have been answerable without a phone call, if the right information had been somewhere findable. What's the process for X? What do we do when Y happens? Who do you call about Z?

The answers existed — in a shared drive, in a staff handbook, in a folder nobody opened anymore. The documentation had been written. But finding a specific answer under pressure, quickly, while a customer is waiting or a job is half-done, was genuinely harder than sending a quick message to the person who knew.

So they called the person who knew.

When we asked ourselves what the ideal solution looked like, it was simple to describe: a staff member should be able to ask a question the way they'd text a colleague — in plain English, without knowing where the answer was filed — and get a direct answer from the business's own documentation. Seconds, not minutes. No searching, no browsing, no calling.

That described AI exactly. It just didn't describe any product we could find.

What we set out to build

The core belief we kept coming back to: AI shouldn't be a barrier. It should be an enabler.

Too much of what existed required technical sophistication from the people deploying it. That excluded almost every small business owner we knew — the people who needed this most. You shouldn't need to understand how language models work to benefit from what they can do. You shouldn't need an IT company on retainer to keep your knowledge base accurate.

You should be able to upload your procedures, share a link with your staff, and have it working the same afternoon. When something changes, you update it yourself. When staff ask something Lore can't answer, it tells you — and you fill the gap. The system gets better as you use it, with no technical effort required from you.

That's what we built. AskLore is private to your business — it only knows what you've told it, and your knowledge base is never used to train AI or shared with anyone. It doesn't fabricate answers or pull information from outside your documentation. It tells staff honestly when it doesn't know something and logs that question so you can see exactly where the gaps are.

An owner can set it up, manage it, and update it themselves. That was always the non-negotiable.

What we've seen since

The businesses using AskLore have almost universally described the same thing: the calls get quieter.

Not because their staff got smarter overnight — but because the gap between knowing the answer exists and being able to find it right now finally closed. The procedure that lived in the shared drive and never got opened is now answerable in ten seconds by anyone on the team.

The owner who used to get three calls before 9am now gets one. New staff stop needing someone experienced nearby after their first week rather than their third. The manager who went on leave convinced everything would fall apart came back to find it hadn't.

These aren't dramatic transformation stories. They're just relief. Less friction, less stress, a business that runs a little more like it should — where the people on the floor feel equipped to do their jobs, and the owner can actually take a day off.

That's what we wanted to make.

We think we did.

If you'd like to see it for yourself, you can be up and running today.