Data scattered around.
ERP, CRM, spreadsheets and forms. The same indicator comes out differently depending on who calculates it.
AI by process · Data and decision-making
Reports that arrive late, figures that do not agree and decisions made on last week’s data. We unify the sources and leave one single version, queryable in natural language.
ERP, CRM, spreadsheets and forms. The same indicator comes out differently depending on who calculates it.
The report lands on Wednesday with data from the previous Friday.
Beautiful dashboards that do not answer the question the manager is actually asking.
We start with the three questions that really get asked every week, not with the full catalogue of metrics.
A warehouse with the data from your systems, with agreed definitions for every metric.
Designed around the real decisions of the business, not around what the tool ships with.
The system warns when an indicator leaves its range. Nobody has to watch the dashboard.
Ask in text and get the figure along with the query that produced it. Verifiable.
Where do you start implementing AI? Most people answer with a hunch. But deciding where AI goes is a quantifiable problem: it has variables, formulas and a rankable result. This article is that model, with a case worked through step by step.
The industry has fallen in love with "AI-first". But the real bottleneck in adoption was never technological: it is the absence of a way of thinking about processes. A reflection on the discipline that should come before touching AI.
Not sure where to start? Measure your organisation’s AI maturity for free in 3 minutes, or book 30 minutes of direct diagnostic.
Tell us what costs more than it should. We come back with a concrete plan, realistic timelines and a clear yes or no.
contacto@plantekia.com