Enterprise AI Advisory, Engineering & Security

From AI ambition to secure, measurable execution.

We help Swiss enterprises prepare, govern, engineer and scale AI across workflows, data and software.

ENTERPRISE AI / EXECUTION SYSTEMLIVE DECISION MAP
01PREPAREthesis / portfolio
02GOVERNrisk / evidence
03ENGINEERagents / systems
04REALIZEbaseline / outcomes
ENTERPRISE AIEXECUTIONsecure · governed · measured
AI SYSTEM CONTROLLEDCH · 46.8182° N
PrepareGovernEngineerRealize

Most AI programs do not fail because of the model.
They fail between experimentation and enterprise execution.

A compelling prototype can hide the unresolved decisions that determine whether AI will ever belong in the operating model.

01

No clearly owned workflow

02

Data and access rights are not ready

03

Security is added after the fact

04

Tools are selected before requirements

05

Value is never baselined or measured

Four layers. One execution system.

Each layer resolves a distinct set of decisions. Together, they turn an AI initiative into a controlled enterprise capability.

Question addressed

Where can AI create defensible value — and what must be true first?

Explore this layer
Activities
  • Workflow and value-chain mapping
  • Use-case portfolio design
  • Data and access readiness
  • Operating model and capability plan
Decisions produced
  • Prioritized opportunity portfolio
  • 12–18 month execution roadmap
  • Build, buy or adapt criteria
  • Investment and sequencing gates
Numezis team

Strategy lead · AI architect · Product lead · Data specialist

Recognizable situations. Specific decisions.

01Govern

We already use several AI tools without common governance.

Establish the inventory, risk tiers and safe operating boundaries without freezing useful work.

Frame the decision
02Prepare · Engineer

We have identified use cases, but nothing reaches production.

Diagnose the portfolio, architecture and delivery constraints preventing a credible first release.

Frame the decision
03Govern · Engineer

Our teams use ChatGPT, Claude or Codex with sensitive data.

Clarify data flows, permissions, retention and acceptable-use controls — then configure the safe path.

Frame the decision
04Realize

We invest in AI but cannot measure its value.

Set operational baselines, instrument workflows and connect adoption to defensible business outcomes.

Frame the decision

We do not only advise on AI. We build the products that prove the work.

Our product ownership exposes the team to the same constraints we address with clients: permissions, data, reliability, human control, cost and production operations.

The tool is a decision. Not the strategy.

We operate Claude, ChatGPT Enterprise, Codex, Kimi Work and open architectures hands-on. We also build Kletron ourselves — product ownership that sharpens every architecture decision we make.

CLAUDECLAUDE CODECHATGPT ENTERPRISECODEXGEMINIMISTRALNVIDIAKIMI WORKOPENCLAWNEMOCLAWKLETRON / BUILT BY NUMEZIS
Explore our platform expertise
ASSESSMENT / 06 SIGNALSARCHITECTURE DECISION RECORD
D

Data boundaries

Where inputs, outputs and context travel — and who can access them.

I

Integration

How the solution meets identities, APIs, MCP and existing systems.

S

Security

Threats, permissions, isolation, audit evidence and operational control.

P

Performance

Quality, latency and reliability measured on the real workflow.

C

Cost

Total economics across licenses, inference, change and operations.

R

Reversibility

A credible path to change models, vendors or deployment patterns.

Senior-led. Flexible by design. Transparent by default.

Delivery is structured around decisions and evidence — not a fixed ceremony. A named senior team works against a rolling roadmap with full cost visibility.

See how delivery works
01

Time & materials

Capacity follows the highest-value work as evidence changes the backlog.

02

Named senior team

The people in the room remain accountable for the work shipped.

03

Transparent timesheets

Effort, cost and progress are visible at the level leaders need.

04

Rolling roadmap

Priorities move through explicit monthly budget and outcome governance.

Applied AI experience, before it became a category.

Numezis Advisory & Engineering brings together the judgment of early applied-AI work in Switzerland, the discipline of enterprise software and a security-first delivery culture. We describe what we have learned precisely — without inflated metrics or borrowed logos.

Our experience and leadership
01EARLY WAVE

Novatix

Experience helping shape one of Switzerland’s early applied-AI companies and the market around it.

02PRODUCT

Numezis product

Building a governed autonomous business agent for Swiss SMEs under real software, data and operational constraints.

03PRODUCT

Kletron

A complete agent and multi-agent work system, built by Numezis and already used by SMEs under production constraints.

Ideas built to support decisions.

One rigorous point of view at a time — grounded in operating experience, primary sources and original frameworks.

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