Téchnéos

We help organisations improve how they work, decide and produce results.

We step in when productivity, service, quality, time, capital or decision-making depend on the interaction between processes, responsibilities, data and systems — and cannot be improved simply by introducing new software or a new technology.

Transformation Engineering

Why we exist

Understanding the problem and building the solution must stay on the same path.

In transformation programmes, the people who analyse processes and goals are often separate from those who build the data, software or automation. This can produce plans that are hard to put into practice, or systems that are technically correct but do not improve the expected result.

Téchnéos works on the opposite principle: understanding, modelling and delivery must stay connected all the way through.

AnalysisDeliveryOne continuous path

How we think

Four principles guide the way we work.

01

Understand the problem before choosing the technology

We start from the result to improve and reconstruct the system of processes and decisions that produces it.

02

Explicit models, concrete tests

We make assumptions explicit, test them with data and people, and turn the analysis into systems that work in the real context.

03

Capabilities composed around the problem

We bring together organisational, industrial, analytical and software capabilities when the problem spans several functions and has no standard answer.

04

Measure the result, not the activity

A document, a model or a piece of software only matters if it improves a relevant decision, process or performance.

Identity

To transform is to rebuild a system so that it works better.

Téchnéos — from the Greek téchnē — art, craft — and néos — new.

The Phoenix stands for reconfiguration and renewal. For us it is a concrete metaphor: understand how a system works, identify what limits its results and rebuild it in a more solid, measurable operating form.

The same principle guides our work: transformation is not measured by the amount of technology introduced, but by the quality of the system that remains after the change.

Where we work

Organisations where processes, decisions and knowledge directly affect performance.

We work mainly where productivity, service, quality, working capital, technical reliability or decision speed depend on the interaction of several functions and systems — and where improving just one part would risk moving the problem elsewhere.

Manufacturing

Production, operations and engineering

Productivity, capacity, progress, quality, traceability, automation, industrial data and process control.

Supply chain

Planning, purchasing and decisions under uncertainty

Demand, production, inventory, sourcing, lead time, service level, priorities and tied-up capital.

Business functions

Administrative, sales and service processes

Automation of document work, control and forecasting, access to knowledge, exception handling and integration between administrative and operational systems.

Systems and governance

Integration, data and governed AI adoption

System integration, data quality and availability, security, access, traceability and the compliance needed to introduce AI and automation without increasing operational risk.

Working with us

Bring us the result that isn’t improving as it should.

We do our best work when the problem spans several functions, the cause is not obvious, and processes, decisions and systems must change in a coordinated way.

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