Our own platform. Our own method.
We bring AI into the systems where your work already happens — as a workflow with AI agents, as an integration across your landscape, or as custom SaaS for your teams or your customers. Always on AIonicOS, our own platform that is already running.
Fixed price for the agreed implementation scope. Operations and AI usage are quoted separately.
AI agents handle the case — approval stays where the decision is made today.
AI agents handle the case — approval stays where the decision is made today.
AI capabilities are added to the systems you already use.
Custom SaaS of your own — for your teams or for your customers.
One base
AIonicOS is the shared core. What comes out of it follows your undertaking.
Agentic workflow
More than if-then rules: AI agents read incoming emails and documents, pull data from your systems, reconcile it and prepare decisions — only through approved tools, every run traceable. Decisions are still made where they are made today.
See typical starting pointsAI across your system landscape
Company knowledge, extraction, classification and drafting — connected to the systems you already use. Your landscape stays; the capabilities get added.
See the integrationsCustom SaaS
Where a workflow is not enough, a SaaS application of your own gets built — for your teams or as a product for your customers. Reference: Lead Pilot for B2B sales.
See the Lead Pilot referenceAccess to the workflow track
Agentic Platform · Enterprise
For work that spans several departments, approval levels, and systems such as ERP, MES, and QMS.
Understand AIonicOSLaunchstack · Startups & SMEs
Entry offer
For small companies and startups: one result, up to three source systems, one approval step, no platform license.
Explore AiLoftWhy both at once
The usual choice: fast with a ready-made toolkit, or a precise fit with a custom build. We do not have to choose. The orchestration base is already built — what gets built for you are the connections and the logic your undertaking actually needs.
Ready-made toolkit
Stands up quickly — and carries as far as your process matches the pattern of its blocks.
Custom build
Fits precisely — the effort grows with the groundwork that has to be created first.
startvisor.AI
Fast and a precise fit — on a base that already runs and is not rebuilt for every project.
Why tailored does not start from zero
We translate your workflows, exceptions and responsibilities into unambiguous rules and checkable results. What gets automated, where a person decides, and how success is recognised are settled before implementation.
AIonicOS orchestrates AI agents, models, company knowledge, tools and approvals — and is not rebuilt for every project. That is where the time advantage comes from. Which model handles a work step follows from the task, its data, and the agreed quality and cost targets.
TAC (AI Tactical Engineering) is our own agile development method for every project phase. AI development agents take on scoped tasks with automated checks; we integrate, test and release. You see what is being built in short cycles — not only at the end of the project. Testing and acceptance remain mandatory.
AI agents in the workflow · three examples
Every starting point is a single, clearly bounded process — not a platform rollout. The AI agents take on the legwork; approval stays with people. What comes next is decided by the results.
The problem today
Requests arrive across several mailboxes, get sorted by hand, and sit there until someone has time.
What the agent takes on
Every request is classified, enriched with case and inventory data, and filed in the ticket system as a finished draft reply.
Human approval
The draft only goes out once the responsible person in service has approved it.
The problem today
Quantities, dates, and prices differ between purchase order, delivery note, and invoice. Resolving them runs on spreadsheets and phone calls.
What the agent takes on
Discrepancies are compared document by document, grouped by cause, and handed to purchasing with a reference to each source document.
Human approval
Credit note, back-charge, or release for payment remains a purchasing decision.
The problem today
Quotes, contracts, and review files are assembled from templates, scattered predecessor documents, and knowledge held by individuals.
What the agent takes on
The document is produced from approved sources, every statement stays traceable to its origin, and deviations from the template are flagged.
Human approval
The business owner and, where required, legal sign off before anything is sent.
Your process is not listed? See more workflow examples
Example workflow · Procurement & quality Demo · synthetic data
Procurement & quality
A reported supplier deviation must be traced to affected lots and purchase orders, then resolved with verifiable evidence.
Existing sources
Governed operation
Approval & policy
Human approval The quality owner approves the supplier response and inventory release.
Policy gate The case remains open until cause, impact, and effectiveness evidence are complete.
Verified outcome
An approved corrective action with resolved inventory status and a complete QMS history.
Approved corrective-action record in the QMS
Documented block or release state for affected lots
Measurement per run
Run time, source coverage, approval status, exception rate, and AI usage are recorded per run.
A demonstration using synthetic data, not a customer project. For your case, test cases are built from real transactions; production release follows access, testing, and acceptance.
AI integration
We do not replace systems. We connect the ones you use today and layer on the AI capabilities the process actually needs.
Choose a system
AIonicOS
Order, delivery and invoice data are compared, deviations named and put forward for decision with a document reference.
ERP (e.g. SAP) Extraction, Reconciliation & checks, Decision preparation. Order, delivery and invoice data are compared, deviations named and put forward for decision with a document reference.
Connections run over existing interfaces and permissions. If one is missing, we say so before you place the order — instead of working around it.
Custom SaaS · reference
On AIonicOS we build custom SaaS applications — internally for your teams or externally as a product for your customers. The base is already running; what gets built is what makes your application yours.
A reference from our own house
SaaS for B2B sales, built on AIonicOS.
Lead Pilot picks up buying signals in the target market and prepares individual approaches from them — on a knowledge graph built over the user’s released sources.
Lead Pilot is NC AGENTIC GmbH’s own product, not a client project.
Method & offer
Workflow, integration or SaaS: scope, target criteria, and the fixed price are set out in writing before implementation begins. What is not in scope is neither quietly delivered nor quietly invoiced.
TAC Engineering Clearly planned. Swiftly implemented. Handed over checked.
The process, the systems involved, the accountable owners, and the acceptance criteria are put in writing together.
Connections, workflow, rules, and the approval step are built inside your environment.
Testing against real transactions, documented deviations, and sign-off by the business owner.
Runs, exceptions, and costs stay visible; improvements are prioritised and commissioned.
Included in the implementation scope
AIonicOS · live in operation
Connects your systems, carries out defined work, and keeps sources, approvals, and outcomes traceable.
Inspect AIonicOS in detailAIonicOS in operation
The state of the running platform, not of the largest possible configuration.
Approved document sets are indexed, complex documents are evaluated as a whole, and every answer is backed by its source. The models, retrieval methods, and review steps behind this are described in detail on the AIonicOS product page.
Product views use demo data; sensitive operating details are not included.
Frequently asked
A classic workflow follows fixed if-then rules and stops as soon as a case does not fit the pattern. AI agents also read unstructured input such as emails or PDFs, pull missing details from your systems, and prepare the next step. With us, they work inside a governed workflow: with their own identity and the narrowest possible permissions, only through approved tools, with defined stop points and a traceable run history. Which steps a person approves is set before implementation.
Implementation is delivered at a fixed price, which we name once the process, source systems, and access are clear. Hosting, AI usage, and maintenance and support are quoted separately. The intro call is free; a deeper process analysis before we quote is commissioned separately.
With a clearly bounded scope, available access, named owners, and completed testing and acceptance, a first workflow is live within days to weeks. If interfaces, test data, or approvals are missing, the start shifts accordingly — we name these dependencies before you commission anything.
The default is a separate instance per customer at Hetzner, in German data centres. If you want the workflow to run in your own environment, that is possible; we cost the additional effort against your requirements and show it separately. Which model handles which step, and the path your data takes, is set out in writing before implementation. We do not issue blanket compliance guarantees.
startvisor.AI is owner-run. Your contact for the quote, the implementation, and the acceptance is Gerald Fehringer; for bounded tasks we bring in named specialists. We do not present ourselves as a larger team than we are.
Yes. A bounded workflow is the most common way in, but not the only one. We also connect AI capabilities where no single process is being automated: indexed company knowledge with source references, extraction and reconciliation across existing systems, or prepared decision material. Scope, acceptance criteria and the fixed price follow the same method.
Yes. Where a standalone application does more than a workflow, we build it as custom SaaS on AIonicOS — internally for your teams or externally as a product for your customers, with AI Tactical Engineering, automated checks and technical acceptance before it goes live. Lead Pilot for B2B sales is an example from our own house. What makes sense in your case we settle before you place the order.
Next step
30 minutes on the goal, the systems involved, the accountable owners, and the acceptance criteria. Afterwards you will know which route fits — workflow, integration or custom SaaS — and roughly what it costs.
Your contact
Gerald Fehringer
Managing Director · NC AGENTIC GmbH
In the intro call you speak directly with me, not with a sales team. More than 25 years of consulting and process work in corporates and mid-sized companies, several ventures of my own, and daily hands-on work building agentic workflows today. I am personally accountable for the quote, the scope, and the acceptance.
startvisor.AI · Hamburg
startvisor.AI is an owner-run company based in Hamburg. We commit to support hours and cover only to the extent we can actually deliver.
