AI agents for MSPs,
across Australia.
Every MSP has the same bottleneck: the advisory expertise that wins the client lives in one person's head, and the report that proves it takes hours to write by hand. We build the tools that turn that expertise into something a client can run themselves, with a human still signing off on every result.
01 - What You Get
Two problems, one system: the advisory bottleneck and the sales motion.
Most managed service providers (MSPs) are sitting on twenty years of technical judgment that never makes it past the person who has it. We build two things that fix that, in plain language, no jargon.
- The self-drafting assessment tool. We turn your actual diagnostic process, the questions you already ask a prospect, into a guided assessment that self-drafts the branded report at the end: risk register, ranked findings, executive summary, action plan. It runs entirely in the browser, so no client data sits on a server. For the Melbourne MSP in our case study, that took the shape of a 30-question guided assessment that self-drafts a full branded advisory report, reviewed and approved by the consultant before it reaches a client. See the full pattern on how to productize advisory expertise into a client tool.
- The human review gate. Nothing reaches a client unedited. Every report lands in a draft state, every field editable, and the consultant reviews, adjusts and approves it before it goes out. The tool speeds up the writing, a person still owns the judgment. Read more on why automation should draft, never send.
- The sales layer. Once the assessment tool exists, it needs to actually generate pipeline. We wire it into your CRM so a completed assessment becomes a tracked, followed-up lead, then layer on the same agent patterns that work for any service business: quote and proposal follow-up that chases a quiet deal on a schedule instead of letting it go cold, a missed-call agent that answers and qualifies when your team is heads-down on a client site, and a review engine that keeps the testimonials coming without anyone remembering to ask.
None of this replaces your engineers or your account managers. It replaces the manual, repetitive parts of turning expertise into a document and a document into a booked call, the parts that eat a senior person's week without needing their judgment at every step.
02 - Who It's For
Built for MSPs who already have the expertise, just not the hours.
If your team keeps fielding the same question about Microsoft 365 Copilot and AI governance and answering it for free on a discovery call, that is a productized offer sitting unbuilt. See how we think about that specific question on how to productize the AI governance question your clients keep asking.
We are Sydney-based and work with MSPs, IT service providers and IT consultancies Australia wide, in person where it helps and remote where it does not matter. The proof is a real build, not a mockup: see the Melbourne MSP case study for the full before-and-after, a Microsoft 365 MSP in business since 2004 whose director could not even edit his own client reports, now running two self-drafting assessment tools with a human review gate on every one.
03 - Found By AI, Not Just Google
Being found isn't just a Google job anymore.
When we built Brandwell Group a website and client portal, ChatGPT itself started recommending the business to a searching enterprise. MSPs sell to technical buyers who research the same way, in AI answers as well as search results, and a site built like a static brochure does not show up in either.
04 - How It Starts
Live before you commit a dollar.
Once we've agreed on scope, we're usually in-market within 2 to 3 weeks. For AI agent builds you see a working prototype on your own web address within 7 days, before you pay a cent. No lengthy onboarding, no 12-week strategy deck, no discovery phase that bills you for slides. We'd rather show you something running.