Decision Lab gives your team the visibility and insights to make better decisions — turning spreadsheets, manual processes and disconnected systems into tools your team will actually use.
Four connected practices, all with AI built in. Engage one or all — most clients start with one and grow from there.
Move from spreadsheet sprawl to clarity. Power BI dashboards and semantic models on a Microsoft Fabric platform that's ready for AI, with numbers that tie back to your ledger.
Close the month faster. We automate data collection, reconciliations and reporting, and use AI to draft the commentary, so your team reviews results instead of building them.
When off-the-shelf tools don't fit, we build software around your processes, with AI built in. More automation, better visibility, and you own it outright.
Your team is your biggest advantage. Hands-on AI and Power BI training, embedded coaching and courses, so the tools become part of how you work.
Our approach is shaped by the kinds of projects that actually land — and the ones that don't.
Every engagement starts with the question: what decision is this meant to improve? If we can't name it, we don't build it. Avoids dashboards no one opens and models no one trusts.
We ship something real in weeks, not quarters — a working prototype, a usable dashboard, a model with a clear measure of success. Then we iterate with you watching.
We're not trying to live in your business forever. We document, train and pair until your team can run it. The best engagement ends with us being optional.
Our mission: turn data into decisions your team can act on.
Decision Lab is a New Zealand-based practice working with clients across Aotearoa and around the world. We're independent, vendor-neutral, and practitioner-led — the people on your project are the people who do the work.
We work across sectors — public, private, and not-for-profit — and across the maturity curve, from "we have spreadsheets and ambition" to "we have a data team and need someone to actually get the Power Platform delivering."
Whether you're trying to get clean reporting in place, replace a manual process with proper automation, or upskill a team that's about to inherit a new stack of tools — we've probably been there.