Support development
ChatGPT and Codex assist with software and website development, analysis, documentation, and quality assurance within an expertly managed workflow.
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.
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 view of a suitable use case. Actual effort and savings depend on the task, data quality, scope, and required review.
We already use AI across different areas of our work and turn that experience into transferable solutions for recurring knowledge and communication processes.
ChatGPT and Codex assist with software and website development, analysis, documentation, and quality assurance within an expertly managed workflow.
Gather information faster, assess sources and statements, and prepare extensive material for focused further work.
Transform Teams transcripts into structured meeting minutes, decisions, open items, and concrete tasks.
Make technical text, customer communication, and website content clearer, more consistent, and better suited to its audience.
Condense longer ticket histories into current status, findings, decisions, and the next meaningful steps.
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.
We analyze recurring knowledge work and select tasks where AI can create measurable value.
Data sources, instructions, target output, human oversight, and quality criteria are defined together.
We test the solution with realistic cases, document the workflow, and refine it based on the results.
We do not simply continue billing the hours previously required. Human expertise and AI-supported processing remain clearly separated.
The combination reduces delivery time and total cost. Customers benefit directly from the higher productivity.
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.
Productive use requires clear rules. We define data access, quality controls, and responsibilities from the start and review results according to their significance.
Information is processed only within the agreed framework and with suitable services.
AI output does not become a decision or binding work product without appropriate review.
Professional review, approval, and accountability remain with the people assigned to them.
Together, we review recurring tasks and identify a clearly defined use case with realistic value.