Most SMBs aren't ready for the AI tools they're being sold. The problem isn't the tools — it's the data underneath. We start by making your data make sense.
Most growing businesses are already sitting on huge amounts of data they could be using to make better decisions. We've spent over a decade working with data, so we understand its foundations — what good looks like and what doesn't, how to get real value from it, and the questions you should be asking in the first place.
Getting a straight answer to a simple question shouldn't be hard. For most businesses, it still is.
Your business runs on data spread across Xero, your CRM, a handful of spreadsheets and a few SaaS tools nobody's quite sure about.
Each system tells a different story and the definitions are fuzzy. What counts as a customer? As active? As revenue? Nobody can say for sure.
No AI tool fixes that on its own. Connect ChatGPT to your data tomorrow and it produces confident-sounding answers from numbers that don't add up.
These days there's a lot of hype, and every business is being sold AI tools and agents. What none of them can do is sit with you and your team and work out what your numbers actually mean — what counts as a customer, what counts as active, what counts as revenue, and what to do when the systems disagree. In the data world, that's what we call the semantic layer.
That's interrogation work. It's slow, it's human, and it's the difference between an AI that gives you answers and an AI that gives you the right answers. And that's where the audit starts.
The audit is the front door to every engagement — a clear, honest read on your data, tooling, semantic layer and AI-readiness before anything gets built. From there, you can put that data to work day to day with the Data Assistant, or answer a specific commercial question with a Deep-Dive Sprint.
A short, structured diagnostic of your data — your systems, your semantic layer, your data quality and your AI-readiness — so you know exactly where you stand before anything gets built.
Explore the Audit Put data to workOur AI bot: ask your business questions in plain English and get clear answers back — right inside Telegram, Teams or Slack. No SQL, no dashboards, no training.
Explore the Data Assistant Answer one questionA focused four-week investigation into one commercial question — revenue leakage, churn, pricing, conversion — that has surfaced high-value opportunities others had missed.
Explore Deep-Dive SprintsA selection of the commercial questions our Deep-Dive Sprints have settled, across distinct clients and sectors.
An on-demand delivery platform could see cancellations rising but not what they cost. We classified a year of cancelled orders into genuinely lost versus recovered, then sized the lost revenue at the platform's own average order value.
An online education provider treated late exam grading as a minor irritation. We connected grading and student-complaint data for the first time, and sized the support cost it was quietly creating.
A UK telecoms operator sold a broad portfolio of bundles with no per-product view of margin. We built a single profitability view — price, real usage and cost-to-serve — so every bundle became its own P&L.
We've partnered with Hira on projects for years. They're rigorous and straight-talking, and they understand the data underneath the dashboards. When a client needs analytics done properly, they're who I point them to.
Hira rebuilt our finance database and sorted out the infrastructure beneath it. Reporting that used to be a monthly scramble now simply works. Month-end is a different experience.
We asked Hira to build us a data assistant and it's become part of how the team works. Questions that used to mean waiting on a report now get answered in seconds.
Hira ran a series of deep-dive sprints for us, each answering one specific commercial question with real numbers. No fluff, no open-ended retainer — just clear answers we could act on.
Book a free 30-minute call. We'll look at your current setup and tell you honestly what we think the best next step is — no pitch, no pressure.