Cognitive Workspace — M2.
Cognitive Workspace

Your team is ready for AI.Is your organisation ready too?

ChatGPT, Copilot, Claude: your employees have long been using AI — fast, intuitive, productive. But without any control. Every unchecked upload means valuable knowledge leaving your company.

Don’t prohibit. Enable securely.

Control Security Auditable
M2 Cognitive Workspace
Why was the scrap rate at Plant 3 above target last week?
Root cause: temperature deviation on Unit 12, batches 4471–4483.↳ Source: MES_Log_CW31.csv · approved for Quality Assurance
Can you prepare the maintenance approval for Unit 12?
Draft created — approval by the unit owner required.↳ Logged · RBAC active
Single-Tenant · EU-only🔒 Audit log active
01 — The Starting Point

Shadow AI is not a fringe issue.

26% of German companies use AI
AI has long since become part of everyday work — with or without approval.
Fast, intuitive —
and not secure
ChatGPT, Copilot and similar tools run in the browser, often without approval from IT or data protection.
AI Act:
Core provisions now apply
Since 2 Aug 2026 — for your company as well.

Whether scrap analysis in manufacturing, change approval in engineering or incident reporting in grid operations: your team knows exactly where AI could already save time today.

Yet this is precisely where progress usually stalls — because no one has defined which tool may access which data. So sensitive data ends up in browser chats anyway. Only without anyone knowing.

The silent security risk
No evidence. No control. No audit.
Sensitive and confidential data is processed without oversight
No one can trace the data flows
Systems in use that no one has approved
02 — What Cognitive Workspace Is

An AI workspace that IT and data protection can approve with confidence.

Cognitive Workspace combines the productivity of modern AI tools with an operating framework defined by your own rules — in a dedicated, isolated environment exclusively for your company.

01

Control

Clear roles for each team and task — from campaign reporting to budget approvals.

02

Security

Sensitive data and corporate knowledge remain protected — even when results are delivered quickly.

03

Auditable

Every prompt, every response, every source is fully logged and verifiable.

And you decide where your data resides: M2 Cloud in Frankfurt, your own cloud or your own data centre.

03 — The Difference

Blocked before. Enabled with M2.

Not a different tool, but a different framework around it — across industries.

Manufacturing
Quality & Maintenance

Before: Shift and machine data remain in siloed systems — too sensitive for browser-based AI tools, for fear of exposing engineering and process know-how.

Now: Evaluate scrap analyses directly — maintenance approval goes only to the unit owner, every step logged.

Engineering
Change Approval

Before: Change requests for drawings circulate by email — too IP-sensitive for unvetted AI analysis.

Now: Trace the change history — access restricted to authorised engineers, every approval verifiable.

Energy
Grid Operations & Reporting Obligations

Before: Incident reports and grid data are not analysed with AI — too sensitive from a regulatory perspective for unvetted tools.

Now: Prepare incident analyses and mandatory reports (incl. NIS2) with AI support — fully logged for supervisory authorities.

04 — Productive Within Weeks

With the data that really matters.

01 · 60 MIN

Discovery

Define data classes and use cases together. IT and data protection at the table from day one.

02 · 4–6 WEEKS

Pilot

Up to 10 users, 2–3 specific workflows. Time savings made visible in day-to-day operations.

03 · FROM MONTH 2

Scaling

Extend access to further business units. The framework is already in place — only the circle grows.

Back to the opening question

Your team is ready. Now your organisation is, too.

A concrete pilot in your environment — in weeks, not months.

Request a pilot →