Question 1

Who is this for?

Accepted Answer

Business leaders in trades services, distribution, professional services, or financial services who know AI is transforming their industry but haven't yet made it work for their own business. You'll know this is for you if you've seen AI demos but haven't found anyone who understands your actual operations, you have a successful business and a growing suspicion you're leaving real money on the table, and you'd rather get a clear answer in one conversation than sit through another vendor pitch.

Question 2

We've tried AI tools before and they didn't work. Why would this be different?

Accepted Answer

That failure follows the same pattern almost every time: impressive demo on a sample dataset, failure when you run it on real operational data, then a team that quietly ignores the recommendations. The tool wasn't the problem — the implementation was, and the people management. What's different: your operational data actually connected to your systems, your team trained individually, and benchmarks from real Australian implementations. The gap between 'AI available in your software' and 'AI running profitably in your business' is exactly what CoterieLabs closes.

Question 3

How does it work?

Accepted Answer

Three independent decisions — you never commit to the next step until the current one has proven its value. Start with a free discovery call. Then an AI Readiness Assessment over 3–5 days using your real operational data, producing a prioritised roadmap of quantified opportunities. Then a 90-day pilot — one opportunity, one metric, one success criterion written down before Day 1. Then full implementation of the remaining opportunities over 6–12 months. Each step stands on its own.

Question 4

What does it cost?

Accepted Answer

Each step is an independent decision. The discovery call is free with no commitment. The assessment is a fixed upfront fee, credited in full toward the pilot — and stands alone as a planning document. The pilot is a one-off engagement fee over 90 days. Full implementation includes a success fee tied to verified outcomes your accountant signs off on. AI Air Cover is an ongoing monthly programme that keeps your implementation current.

Question 5

What results can we expect?

Accepted Answer

For a typical mid-market business, AI-driven operational improvements contribute meaningfully to EBITDA within the first year. In trades, that typically comes from drive time reductions and material cost savings. In professional services, it comes from utilisation rate improvements, faster billing cycles, and admin capacity freed through document automation. Both result in the ability to absorb 20%+ revenue growth without adding headcount.

Question 6

Will our team actually use it?

Accepted Answer

Change management is built into every engagement from Day 1, not bolted on at the end. The person who runs your day-to-day operation needs to understand they'll have better information to make the same calls they've always made — not that an algorithm is replacing their judgment. Your operation also gets an internal champion — one person who owns the system when the engagement is over, trained early with more context than anyone else.

Question 7

Will you replace our existing software and systems?

Accepted Answer

In most cases, we work with what you already have — your operations platform, your accounting software, your existing tools. The goal is usually to make those systems work better, not to rip them out and start again — unless it makes sense to.

Question 8

What do you need from my team?

Accepted Answer

Less than you think, but more than nothing. We need access to your operational data — dispatch records, billing data, job history — whatever already exists in your systems, and 2–3 conversations with the people who run the day-to-day operation. During the pilot, one person on your team becomes the internal champion — someone who already has credibility with the team and wants to own the system when we leave.

The gap is where margin goes to die.

Start with a call.