MeteorIT
AI implementation studio · est. 2026

We find the wasted hours. Then we automate them.

Most businesses have tried AI. Few have changed how work actually gets done. The gap is not the tools — it is knowing where to apply them, and redesigning the work around them once you do. That is where MeteorIT comes in.

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Who we are · 01

Who are we?

MeteorIT is an AI deployment and advisory firm for small and mid-sized businesses. We are not a software vendor. We do not sell off-the-shelf licences or generic platforms.

What we do is more specific: we go inside a business, map where time and money are being lost, and redesign the work around AI and automation. The tools come after the diagnosis — not before it.

Most AI adoption fails not because the tools are bad, but because they are applied to processes that were never examined. We examine them first.

What we build · 02

We build what the diagnosis reveals.

There is no fixed menu. After the diagnostic, the answer might be a knowledge agent, a connected data layer, a workflow automation, or a combination. What matters is that the solution fits the problem — not the other way around.

Knowledge agents

Retrieval-augmented systems trained on your contracts, SOPs, tickets, and internal documentation. Staff ask questions; the agent answers with cited sources.

Data infrastructure

Your ERP, CRM, helpdesk, file shares, and spreadsheets wired into a single queryable layer. Agents can read and write across systems. Manual data re-entry stops.

Workflow automation

Repetitive processes identified in the diagnostic and replaced with automated sequences. Approvals, routing, alerts, report generation — whatever is costing the most hours.

System integration

Disconnected tools that should talk to each other, connected. No custom platform required; we work with what you already pay for.

If the right answer is something else entirely, we will tell you that too.

How it works · 03

Three phases.
Clear deliverables.

The goal isn’t a smaller team — it’s better work.

01 / 2–3 WEEKS

Diagnose & map

Structured interviews with your whole team. End-to-end workflow mapping. Systems and data-flow analysis. Every inefficiency tied to a specific person, a time estimate, and a business impact. You receive: a workflow map, a systems map, and your top 3–5 automation opportunities with ROI estimates.

02 / 1 WEEK

Design the plan

We turn the diagnostic into an action plan. Build vs. buy recommendation for each opportunity, technical feasibility assessment, and a prioritised implementation roadmap. Fixed scope — no open-ended retainer to begin.

03 / ONGOING

Deliver & hand off

Technical build and implementation, workflow automation and integration, quality assurance and testing, staff onboarding and training. We hand off cleanly — or stay on as your AI operations team. Your call.

Selected work · 04

Numbers from the field.

Two sectors, two cities. The wasted hours are always there.

Printing services, Belgrade
1.5 hrs/day

The same data, entered by hand, every time.

Every service call generates a paper form in the field, a ticket in the ticketing service, and four documents in their ERP — all typed manually from information that already exists elsewhere. The diagnostic mapped the duplication precisely: 1.5 hours a day, one person, no value added. The solution connects the three systems so that a closed ticket flows through automatically, and manual input becomes a quality check rather than a transcription task.

Managed print · Belgrade · 2025
1 hr+/day

To answer one question about one device.

With 2,500 field devices across client sites, reconstructing the service history of a single unit meant opening the ticketing service, ERP, and monitoring software simultaneously and cross-referencing them by hand. The diagnostic identified this as a daily bottleneck affecting service management, procurement, and field decisions alike. The solution we designed draws from all three systems on a single query: serial number in, full device history out.

Managed print · Belgrade · 2025
London Research Centre
45 min/day

Every morning. Manual news scanning.

The communications team at a London policy organisation started each working day by manually scanning outlets for stories relevant to their research areas. The diagnostic found something deeper underneath it: years of journalist contact data, mapped to policy beats, sitting unused in disconnected systems. The solution we designed automates the morning digest and adds a routing layer that surfaces which journalists are most relevant to each new piece of research — turning a reactive daily task into a proactive visibility mechanism.

Policy & advocacy · London · 2024
2–3 days

To plan one event. Every time, from scratch.

From the moment a researcher at this London policy organisation settled on an event topic, the clock started. Hours spent searching for suitable speakers with no shared record of who the organisation had worked with before. Then a blurb written from scratch. Then individual invitation emails drafted manually for each proposed contact. The diagnostic identified this as a recurring overhead hitting every event cycle — time lost not to one big task but to a sequence of small ones that added up across the team. The solution we designed is an AI events agent: a researcher types the title of the event, and the agent pulls a shortlist of proposed speakers from a database of all previous and potential contacts — built and enriched by AI — then drafts the invitation email and event blurb automatically. The researcher starts the event. The agent handles what comes next.

Policy & advocacy · London · 2026
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