AI that actually does work
Not hype. Not a pilot that dies in a slide deck. AI wired into your business, safely.
Everyone’s talking about AI. We’re deploying it.
Most NZ businesses are stuck between “we should be doing something with AI” and “we have no idea where to start – and is our data even safe?” We use AI every day to run our own company – support, sales, finance, marketing – so when we set it up for you, it’s coming from experience, not a brochure.
We use it ourselves, daily
AI runs real workflows inside IT Live every day. We sell what we use.
Security first, always
AI is only as safe as the tenant it lives in. We lock down your Microsoft 365 data before we switch anything on.
Practical, not pilot
We start with one real job AI can take off your team’s plate, prove it, then grow it.
What we do
Copilot, done properly
Microsoft 365 Copilot is brilliant – and dangerous in a messy tenant, because it can surface any file your staff technically have access to. We do the data security groundwork first (permissions, sensitivity labels, sharing lockdown), then roll Copilot out with training so your team actually uses it.
AI readiness & policy
Where’s AI already being used in your business? (Hint: your staff are already pasting things into ChatGPT.) What’s safe, what’s not, and what’s the rule? We assess, write the plain-English AI policy, and get your data house in order.
AI agents & automation
Beyond chat: AI that does jobs. Triaging inbound email. Drafting quotes. Chasing debtors. Summarising meetings into actions. We build and run practical automations that pay for themselves in hours saved.
Training your team
An hour with tools your staff will use the same afternoon. Less “what is a large language model”, more “here’s how to clear your inbox by 10am”.
What good looks like
The difference between AI that works & AI that disappoints is how tightly the job is defined.
The wrong brief
- Bad: “an AI employee” that does everything.
- Too vague to test. Too vague to prove.
The right brief
- Good: “respond to every inbound lead, collect the missing qualification details, & route the opportunity to the right person.”
- Specific enough to test – & specific enough to prove.
How we build an agent you can trust
An AI agent is only as good as what it knows & what it’s allowed to do. Before we automate anything, we do the groundwork – the same discipline we bring to your security & backups.
Map & build
- Map the process – trigger, steps, systems, handoffs & exceptions.
- Build the knowledge foundation – your offers, rules & past decisions. Without that, AI is guessing.
Set the boundaries
- What it can read, what it can change, what needs your approval & what it must never do.
- Test the messy paths – missing data, conflicting instructions, an out-of-scope request.
Launch & keep it honest
- Human in the loop first – drafts & recommendations, hands-off only once it’s earned it.
- Every agent has an owner, monitoring & a regular review. Left alone, an agent drifts.
So how does it start?
AI Readiness Review
Where your data, security and workflows are today.
One real win
We pick the highest-value job, deploy it, prove it. We set the baseline before we start, then report what changed – response time, quote turnaround, completion rate, backlog & errors. Real numbers from your business, not a demo.
Grow from there
A roadmap based on what worked, not what’s trendy. We only add the next one when the knowledge is ready & you can measure what better looks like.