We believe AI only makes sense when it noticeably simplifies work, improves decisions, or shortens processing time. That is why we start with your task, available data, and a clear objective rather than with a model or feature. Our practical experience with ChatGPT, Codex, and other AI services helps us integrate suitable applications into everyday work with appropriate control.
When a use case is suitable, AI reduces manual effort and accelerates delivery. We clarify the expected value, required professional review, and limits of the support before implementation. 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.
The strongest candidates are recurring, knowledge-intensive, or structuring tasks with a clear objective and verifiable results. Our own practical experience helps us distinguish genuine value from mere technical possibility.
Specialized agents support the development of functional concepts using Business Central online Help and agreed knowledge bases.
Our team members guide the process, continuously review intermediate results, and validate the final content. The goal is a reliable output produced faster and more efficiently than through a fully manual approach.
When source code is available, AI supports the reverse engineering of legacy ERP systems and custom-developed solutions.
Our experts review the results to better understand processes and dependencies, validate data models, and provide a more reliable basis for migration and modernization projects.
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 examine the task, effort, data, quality requirements, and existing friction before selecting a technical solution.
Expected improvement, risks, target output, verifiability, and human oversight are defined together.
We test realistic cases, compare outcomes and effort, and only expand what proves valuable in everyday work.
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.
Trust does not come from automation alone. We define data access, quality controls, and responsibilities from the start and make it clear where AI provides support and where people review or decide.
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 the starting point, effort, data, and desired outcome without assuming that AI is the answer. This makes it clear whether a focused use case can deliver realistic value.