AIonicOS · Agentic Operations
AIonicOS brings company systems, specialist knowledge, and AI agents together — as a governed company operation or as a custom SaaS application, internally for your teams or externally for your customers. Always with accountable owners, explicit approvals, verifiable outcomes, and an inspectable run history.
Ten commitments
Ten commitments that apply to every implementation and can be checked in live operation. Not claims of uniqueness, but what we put in the contract.
AIonicOS® is a registered word mark of NC AGENTIC GmbH. The commitments in this section describe our implementation practice and are made specific in the quote.
Example operations
These examples span manufacturing, commercial delivery, legal and compliance, service, and finance. They are starting points: customer-specific sources, interfaces, permissions, rules, and approvals determine the final design.
Procurement & quality
An approved corrective action with resolved inventory status and a complete QMS history.
Sales & production
An approved production release with aligned pricing, configuration, bill-of-materials, and planning data.
Legal & compliance
A traceable compliance decision with approved deviations and an assigned obligations register.
Service
A verified restoration with an updated service case, equipment history, and traceable parts usage.
Finance
A versioned forecast with source cut-off, approved assumptions, variances, and a complete decision trail.
Custom SaaS · on AIonicOS
AIonicOS carries more than company operations. On the same base we build custom SaaS applications — for your own teams or as a product for your customers. What every application needs is already running; what gets built is what makes your application yours.
Internal
Business applications, portals, and workspaces for employees — with your systems, roles, and approvals.
External
A SaaS product of your own that you offer to your customers — under your own brand, in the agreed operating model.
Built for your undertaking
Comes with AIonicOS already running
The state of the running platform, not of the largest possible configuration.
Reference case · external
SaaS for B2B sales — built on AIonicOS.
Lead Pilot picks up buying signals at target accounts and prepares individual approaches for sales teams — on a knowledge graph built over the user’s released company sources.
Lead Pilot is NC AGENTIC GmbH’s own product, not a client project.
Four platform layers
Company systems, data, tools, identities, and APIs are connected with explicit ownership. Adapters and interfaces follow the real system landscape rather than assuming universal compatibility.
Governed context combines retrieval, suitable models, and specialist knowledge. The RAG/CAG core is a dedicated AIonicOS service: OCR and embeddings from Mistral, hybrid retrieval, local reranking. Sources remain referenceable, while context boundaries and freshness are defined for the agreed operation.
Agents execute the operation through approved tools. Human decisions, technical stop points, and defined failure handling remain part of the operation instead of becoming an afterthought.
Policy, permissions, isolation, audit, cost, and observability accompany every run. The exact control set follows the risk class, operating model, and agreed configuration.
AI Tactical Engineering
For a workflow just as for a SaaS application: every phase delivers a concrete, reviewable result and ends with an explicit approval decision. This keeps fast implementation tied to accountable production approval.
Define the business goal, trigger, outcome, owners, exceptions, and measurement categories together.
Operation brief and scope map
Business ownership and acceptance criteria confirmed
Test sources, identities, interfaces, data quality, and permitted actions in the actual environment.
Source map and access matrix
Required access and representative test data available
Model context, agent roles, policies, human approvals, and failure paths as an executable operation.
Operation and control specification
Business and technical design approved
Integrate adapters, retrieval, tools, prompts, and run records in an isolated environment.
Runnable integration build
Interface and permission tests passed
Test positive cases, exceptions, stops, cost categories, and acceptance criteria with representative scenarios.
Validation report and open-risk register
Named owners approve the production step
Launch in a controlled state; observe run history, failures, AI usage, and business outcomes, then improve through versioned changes.
Runbook, baseline, and improvement log
Operations ownership, escalation, and review cadence active
Controls & independence
