If people in your business still export, paste and rebuild reports by hand, the highest return available to you is not a new dashboard and not more data. It is removing that work. Every manual step between your systems and your leadership team is time paid for twice: once to do it, and again when the decision waits for it.
Arithmetic only: people × minutes × 20 working days. Nothing is assumed about your business. Glen’s own example is five people at thirty minutes a day, which is fifty hours a month returned to the business.
These are the steps we take out of human hands in every ecosystem we build. None of them needs judgement. All of them are where the errors come from.
On the left, the way most businesses still produce their monthly numbers. On the right, the way the warehouse produces them. The output is the same document. The difference is who made it, how long it took, and how old the numbers were when they were read.
Someone exports from each system, pastes the files together, reconciles the totals that disagree, rebuilds the charts and emails the pack. By the time it is read, the numbers have moved on.
Every system loads on a schedule. The definitions were agreed once, so nothing needs reconciling. The dashboard is already current when leadership opens it and the report lands in inboxes by itself.
The people who used to build the pack get their time back for the analysis you actually hired them for.
Harbourline is a demonstration company on invented figures, built the way we build inside a business. Open it and look at what runs on its own.
Each automation in the Command Centre logs what triggered it, what it did and how much time it gave back, so the saving is counted rather than claimed. Here a wholesale invoice passes its due date, the AI step drafts a reminder in the right tone for that customer, and it waits for the credit controller to approve and send.
Nobody has to notice. A supplier’s bank details changing days before a payment run, a margin slipping under plan, two invoices that look like the same one: each is raised by a rule and arrives with the next step beside it. The system flags and drafts; people decide.
Once the loading, reconciling and delivering are automatic, the warehouse can answer questions in plain language, because there is one agreed definition behind every number it returns. Both demonstrations carry this: Ask the portfolio on the projects system, and an assistant on the strategy monitor that can be asked anything and can be instructed to make changes, with one rule that does not bend: you confirm before anything happens.
The AI layer is the last thing we switch on, not the first. It is only as good as the warehouse it reads from, and a warehouse that still depends on somebody’s spreadsheet has nothing reliable to give it.
Decisions. The system tells you a project has sat 420 days in a stage and which lead to chase. It does not decide whether to chase them. Anything that needs judgement stays with the people paid to exercise it; anything that does not, stops costing them their mornings.
Thirty minutes with Glen, and a straight answer on whether 110 Analytics is the right fit.
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