AI in use at mse

We put AI to productive use.
For greater efficiency and faster delivery.

mse already uses ChatGPT, Codex, and other AI services for development, research, documentation, and communication. We apply this practical experience to suitable customer processes so both sides benefit from faster workflows, higher productivity, and controlled quality.

Faster deliveryLess manual effortIntegrated into processesDesigned for everyday workReviewed by expertsPeople remain in control
Productivity gain

More output in less time. Billed fairly.

AI-supported ways of working reduce manual effort and accelerate delivery. In addition to the professional work that remains necessary, separate AI service units may apply.

We bill these transparently and at a lower rate than traditional consulting hours. Customers benefit from shorter lead times and lower total costs while usage-based costs of modern AI systems are accounted for fairly.

The key is a purposeful division of work: AI handles suitable preparatory and structuring steps. Our experts interpret and review the results while retaining professional responsibility.

Illustrative example

From manual effort to a combined service model.

Traditional3–4consulting hours
AI-supported
Expert workabout 1consulting hour
+
AI support1AI service hour
Significantly lower total cost

Illustrative view of a suitable use case. Actual effort and savings depend on the task, data quality, scope, and required review.

AI in practice

Turn everyday work into a valuable use case.

We already use AI across different areas of our work and turn that experience into transferable solutions for recurring knowledge and communication processes.

Support development

ChatGPT and Codex assist with software and website development, analysis, documentation, and quality assurance within an expertly managed workflow.

Structure research

Gather information faster, assess sources and statements, and prepare extensive material for focused further work.

Turn transcripts into minutes

Transform Teams transcripts into structured meeting minutes, decisions, open items, and concrete tasks.

Improve content

Make technical text, customer communication, and website content clearer, more consistent, and better suited to its audience.

Summarize tickets

Condense longer ticket histories into current status, findings, decisions, and the next meaningful steps.

Condense BCS communication

Summarize communication within a task and make the current work status easier for project participants to understand.

ChatGPT and Codex are products of OpenAI. Model and service selection depends on the use case, data, availability, and agreed operating framework.

From idea to everyday work

Start small. Validate value. Integrate responsibly.

Identify opportunities

We analyze recurring knowledge work and select tasks where AI can create measurable value.

Develop the use case

Data sources, instructions, target output, human oversight, and quality criteria are defined together.

Integrate the process

We test the solution with realistic cases, document the workflow, and refine it based on the results.

Our billing model

Both sides benefit from the productivity gain.

No artificial compensation

We do not simply continue billing the hours previously required. Human expertise and AI-supported processing remain clearly separated.

A tangible customer benefit

The combination reduces delivery time and total cost. Customers benefit directly from the higher productivity.

A fair AI service unit

The lower-priced AI service hour accounts for model, token, platform, and infrastructure costs as well as reliable service delivery.

No billing by individual token: The AI service hour is an understandable commercial service unit, not a technical measure of compute time or a replacement fee for consulting hours saved.

Responsibility & quality

AI supports. People decide.

Productive use requires clear rules. We define data access, quality controls, and responsibilities from the start and review results according to their significance.

Use data deliberately

Information is processed only within the agreed framework and with suitable services.

Review results

AI output does not become a decision or binding work product without appropriate review.

Define responsibility

Professional review, approval, and accountability remain with the people assigned to them.

Customer Relations

Where could AI meaningfully accelerate your work?

Together, we review recurring tasks and identify a clearly defined use case with realistic value.