Modeling Service
OiCOS offers a modeling service: we design a customised institutional system whose centre of gravity is governance, decision-making, and data analysis — so that decisions improve, and stay coherent with books and contracts.
Think of it as a modern compiler and programming language for business administration, economics, and management systems. You specify the organisation; the workbench compiles it into an executable twin that can sit beside — and certify — the systems you already run.
What you get
| Focus | Meaning |
|---|---|
| Governance | Rules, covenants, and smart contracts as typed logics that steer the institution |
| Decisions | Agents (human, forecast, or algorithmic) that act against explicit goals |
| Data / accounting | Verifiable books and analytics — compliance-grade (e.g. IFRS / GAAP / HGB-style regimes), not slideware |
The result is not another siloed ERP module. It is a compositional model of your organisation, embedded in the familiar enterprise stack.
Embedded in the enterprise family
Digital firms already run specialised systems. OiC.OS does not replace every screen on day one; it supplies the spine that keeps them consistent:
| System | Usual job |
|---|---|
| ERP | Finance, controlling, materials, HR |
| CRM / SRM | Customer and supplier boundary |
| APS | Constrained planning beyond classical MRP |
| WMS / TMS | Warehouse and transport execution |
| MES / PLM / S&OP / BI | Shop floor, lifecycle, planning, reporting |
On that substrate we map three coupled layers — see Magic Sauce:
| Layer | Enterprise reading | OiC.OS |
|---|---|---|
| Gov | Contracts, compliance, covenants | Smart-contract logics — compliant by construction |
| Dec | APS, pricing, credit, S&OP choices | Modern agent systems linked to goals and books |
| Acc | ERP FI/CO, stock and settlement streams | Verifiable accounting that must close |
Agents, verification, smart contracts
- Agents. Decisions run on contemporary agent architectures: human interfaces, econometric / demand-style learning, or verified algorithmic policies — not a stochastic black box as the institutional core. See Modeling detail — agents below and Workbench Help.
- Verifiable software. Compliance regimes (accounting standards, audit trails, invariant checks) are properties of the run. See Verification & Bench.
- Smart contracts. Governance is not a PDF beside the ERP — it is executable logic that constrains what may be decided and booked.
How a project runs
- Consulting — we establish the need with you (perimeter, goals, books, contracts, agents).
- Build — together we assemble the system in the workbench (the workflows shown under Help): model, simulate, audit, film, learn.
- Operate — a customised twin that improves decisions while governance and data stay coupled.
Engagement detail: Engagement. Catalogue forms: Org Shop. Example worlds: Worlds.
Agents
| Kind | Role |
|---|---|
| Human | Managers decide; the twin records, books, and explains |
| Forecast / estimation | Plan vs actual, demand-style learning |
| Algorithmic | Verified policies — compositional and auditable |
| Optional stochastic | Scenarios where you choose them — never a substitute for typed Gov / Acc |
Beyond BPMN / DMN (why a language, not only diagrams)
BPMN and DMN draw processes and decision tables. They lack first-class goals, composition, typed contracts, learning agents, money units, consistent multi-ledger books, and provable compilation from specification to running system. That gap is exactly what the OiC.OS language and workbench close — see Magic Sauce and the executive framing on institutional learning.
Institutional learning
Classical change management names a missing level: the organisation has no system that learns its own processes and rules. OiC.OS treats learning inside the rules, about the rules, and across agents — adjunctions as dynamics; equilibrium as the institution’s fixed point. Full note: Magic Sauce — adjunctions.
Contact: contact@oicos.systems.