Most companies have tried AI. Few have changed how the work gets done. That's where MeteorIT starts.
Most AI adoption fails for one reason: the tools get applied to processes nobody examined. So we examine first.
We don’t sell off-the-shelf licences or generic platforms — we work from the inside, from family firms to enterprise: we find where time and money are lost, we quantify every loss, and only then do we bring AI in.
Not a menu — a pattern. These four show up in almost every diagnostic we run. We start with whichever is costing you the most hours, and leave the rest alone until they earn their turn. If yours isn’t here, we’ll tell you that too.
When the diagnosis calls for a platform, we deploy Integral.
Explore Integral →Three phases, clear deliverables.
Interviews across the whole team, end-to-end workflow mapping, systems and data-flow analysis. Every inefficiency is quantified.
Build or buy, per opportunity. Feasibility assessed, roadmap prioritised. Fixed scope — no open-ended retainer to begin.
Build, integration, QA, onboarding and training. We hand off cleanly — or stay on as your AI operations team. Your call.
Two clients, four processes. Every figure below was measured in their diagnostic before we built anything.
A paper form, a ticket and four ERP documents, all retyped from data that already existed. Three systems connected, and manual input became a quality check.
Across 2,500 field devices, a unit’s history meant cross-referencing three systems by hand. Now: serial number in, full history out, sources cited.
Years of journalist contacts sat unused in disconnected systems. The digest lands at 07:00 and surfaces who matters most for each new piece of work.
The agent shortlists speakers from an AI-enriched contact database, then drafts the invitation and the blurb. Researchers spend the time on the research.
≈ 4 hrs per event cycle · 60 events a year
Four short guides to the questions we hear most — what AI implementation involves, where it pays off, and what to automate first.
Most companies start by asking which AI tool to buy. The ones whose rollout works start by asking where their time goes — and choose the tool after that.
An AI agent is a system that chooses its own next step to finish a task. That is powerful — and it is exactly why most business processes need something simpler.
The chatbot is visible, so it gets bought first. But most of the time a business loses is not in the conversation with the customer — it is in what happens after it.
Ten processes companies most often automate, grouped by department — with what every one that pays off has in common.
Thirty minutes, no deck. Describe the process that hurts; we’ll tell you what it costs you today and whether automating it is worth doing.
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