Technology
Ars Layer
Ars Layer is the Ars Codicis Intelligence Layer: the reusable architectural platform between enterprise systems, data and people. Vertical products specialise it. Engagements configure it.
Ars Codicis Intelligence Layer
Ars Layer is the reusable architectural platform underneath Ars Codicis applications: connectors, enterprise context, intelligence, reasoning, governed workflows and verification.
- Connectors
- Enterprise context
- Intelligence
- Reasoning
- Workflows / tools
- Controlled action
- Verification
Ars Layer is the shared technology direction. ITCTower’s identity kernel is the first production specialisation of that pattern: one shared context layer, multiple operational product surfaces.
01
Enterprise systems
The starting point is the real estate of the enterprise: identity platforms, endpoint management, service management, databases, APIs, logs, SaaS applications, internal systems and documents.
- Microsoft Graph
- Entra ID
- Intune
- ServiceNow
- SQL databases
- APIs
- Logs
- SaaS applications
- Internal systems
- Operational databases
- Documents
Examples illustrate common enterprise surfaces. They are not a published connector catalogue.
02
Enterprise context
Context makes fragmented information operational. People, identities, devices, applications, assets, incidents, events, controls, policies, evidence, relationships and historical state become linked and queryable.
03
Intelligence
Intelligence is a composition, not a single model. LLMs, retrieval, structured data, deterministic rules, domain logic, tools, agents and workflows are combined under explicit permissions and observability.
04
Operational reasoning
The system should help answer operational questions with evidence, not slogans.
- What happened?
- Why did it happen?
- What is affected?
- What is the operational risk?
- What should happen next?
05
Controlled action
High-impact outcomes remain governed. Typical actions include creating workflows, generating evidence, preparing remediation, creating tickets, requesting approval, triggering authorised automation and verifying outcomes.
What the architecture emphasises
APIs and structured data
Enterprise truth often already exists in systems of record. We treat structured sources as first-class, not as an afterthought to a chat interface.
Retrieval and context graphs
Where relationships matter, context is modelled so retrieval and reasoning can operate over connected operational state.
Rules, agents and workflows
Deterministic controls sit beside generative capability. Agents, where used, operate through tools, permissions and audit trails.
Observability and auditability
Enterprise systems must remain inspectable. Decisions, recommendations and automated steps should leave evidence.