It is 2026. Nobody should be typing numbers into a report.
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.
Four jobs that should never be somebody’s morning
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.
The same pack, two ways
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.
Five steps, one person, every month
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.
Loaded overnight, agreed once, delivered on its own
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.
Two systems where you can watch it happen
Both are live demonstrations on invented data, built the way we build inside a business. Open either one and change something: the rest of the system moves with it, and nobody had to be told.
A grant portfolio that keeps its own books
- Every figure on the overview is computed from the register underneath, never typed in at the top.
- Record a payment and the deployment gauge, the sector map, the risk board and the deadline horizon all move at once.
- Every change to the register is logged at field level, so the audit trail writes itself.
- The board pack prints on demand from the live position. Nobody assembles it.
A five-year plan that reports on itself
- Progress rolls up on its own: indicator updates set indicator progress, actions average their indicators, areas average their actions.
- Twenty-three open flags, every one raised by a rule and recalculated live: off track, stale, indicator behind, dependency waiting.
- Each flag carries a “chase lead” action, so the follow-up is one click rather than an email chain.
- The morning briefing at the top is the kind a client build writes every night from the plan itself.
Where the AI layer fits
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.
What we do not automate
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.
How many hours is your business paying for twice?
Thirty minutes with Glen, and a straight answer on whether 110 Analytics is the right fit.