Neo Vision

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/AI Transformation

AI TRANSFORMATION

AI systems that reach production. Built into the tools your team already uses.

Neo Vision puts AI agents and workflow automation into the systems your team already uses. We start from your documents and operational data, then stay through deployment and measurement.

€2K

Starting at

2 weeks to start

Timeline

1210

Playbook

200+

Products shipped

Start a project

AI transformation is worth discussing when…

You run a 20 to 200 person company and AI is on the board agenda with nothing in production
You tried ChatGPT or Copilot on real work and got demos, not measurable results
A process eats senior hours every week that an agent could handle end to end
You want AI you own inside your stack, not another per-seat subscription

Where AI programmes get stuck

Pilots that never touch the workflow

A demo can look impressive and still fail once permissions, messy data, handoffs, monitoring, and real users arrive. We treat those constraints as part of the product, not phase two.

A strategy deck with no owner

The roadmap can be sensible and still go nowhere if nobody owns the first production use case end to end.

Tools that guess

Off-the-shelf AI does not know your data, your rules, or your workflows. So it answers anyway, confidently and wrong.

Nobody owns the outcome

The vendor blames the data, the data team blames the tool, and the process still runs on copy-paste.

Five services.

Proof before scale.

01

AI Readiness Assessment

Two to four weeks from €5K. We map where AI pays in your business and hand you a ranked, costed plan.

02

AI Knowledge Hub

A knowledge layer over your docs, calls, CRM, and Slack, so your team and your AI answer from one source of truth.

03

AI Agents

Agents that do real work inside your workflows: support, operations, decisions. Measured outcomes, not chat toys.

04

Agentic Workflow Automation

End-to-end automation of the processes that eat your hours: email, reporting, handoffs, follow-ups.

05

AI Enablement

Your team set up to run with AI: the tools, the guardrails, and the habits that stick after we leave.

A focused first production use case can often be live within 6 to 8 weeks.

01.

Map

Week 1-2

We go inside the operation and map processes against AI: what pays, what is hype, what is risky.

02.

Propose

Week 2-3

Use cases ranked by ROI with a costed build plan. Numbers, not vibes.

03.

Build and deploy

Week 3-8

Senior engineers build the use case into your existing stack, including permissions, integrations, monitoring, and the human checkpoints the workflow actually needs.

04.

Validate and expand

Ongoing

We measure against the baseline, prove the ROI, then scale what works to the next workflow.

Common questions.

  • They start with technology instead of a measured process problem, and they stop at the pilot. We start with an assessment that ranks use cases by ROI, build into production from day one, and stay until the numbers prove it.

Start with one expensive workflow.

If the economics work, we’ll show you the shortest path from the current process to a production system. If they do not, we’ll say so.

Start a project

You do not need an AI roadmap before the first conversation.