AIonicOS + TAC Engineering. As a scoped entry point.
We take one task somebody still does by hand today: from Microsoft 365, the ERP, DATEV, or the ticket system. We build it with TAC Engineering on AIonicOS — with the models that suit the task, your existing systems, and one clear human approval. Up to three source systems, one approval step, implementation at a fixed price.
Running costs are the environment, AI consumption, and the agreed maintenance. Prices and billing rules are fixed before you commission the work; AI consumption is reported on actual usage.
Owner-run, Hamburg. You speak with Gerald Fehringer, Managing Director of NC AGENTIC GmbH, the company behind AiLoft and startvisor.AI. He has founded several ventures himself and is personally accountable for the quote, the implementation, and the acceptance.
Why this works
AIonicOS orchestrates models, company knowledge, tools and approvals. What gets built is your process logic — not the platform underneath it.
Scoped development tasks worked on by development agents under defined tool permissions and automated checks. Integration and sign-off stay with us.
Which model handles a given work step follows from the task, its data requirements, and the agreed quality and cost targets.
The time advantage comes from the reused base and the procedure, not from fewer tests.
Examples
We do not start with your process landscape, but with one task somebody still does by hand. It gets prepared; the decision still sits with you.
These examples start the conversation. Sources, interfaces, permissions, and acceptance criteria are engineered for your environment.
Also possible
AIonicOS is our base for automation. Where an application of its own does more, we build it as standalone software — by the same method: bounded tasks, agent-supported implementation with automated checks, technical acceptance before it goes live.
Entry offer
One bounded process, from the current-state review to handover. Scope, target criteria, and the fixed price are set before implementation begins.
Included in the offer
How it works
Four steps following our own procedure, AI Tactical Engineering. Each step ends in a result you can check. The process only goes live when the person accountable for it decides so.
You bring the process and the person who runs it today. We record the result, the sources, and where approval happens. After that, the fixed price is set.
We connect the agreed sources and build the process with its rules, its exceptions, and the one approval step at the point where somebody decides today.
Testing runs against your real transactions. Anything that deviates is documented and corrected. Sign-off comes from the person accountable for the process, not from us.
Runs, exceptions, and AI consumption stay visible. Whatever surfaces in the first weeks goes through the agreed correction route.
If access, accountable owners, and test transactions are in place, we are talking days to a few weeks. If one of them is missing, we tell you which one before you commission the work, and how the start shifts.
Ongoing costs
Implementation is covered by the fixed price. After that, three categories remain: they recur monthly and are itemised on the invoice.
After go-live
Infrastructure, runtime environment, monitoring, and technical operation of the agreed deployment.
Models, retrieval, and tools are billed on actual usage and reported per category. The billing rule is fixed up front; the amount follows throughput.
Care of the environment, required updates, and support at the agreed level.
Prices and billing rules are fixed before you commission the work. AI consumption is reported on actual usage; a budget ceiling can be agreed separately. This overview does not replace a quote.
Less talk — build with AI.
Half an hour is enough to settle three things: what goes in, what should come out, and who approves. If that fits into one result, three sources, and one approval step, you get a fixed price after step 1. If it does not, we tell you in the same call.