UFIS
Coordination Layer
Patent Application Detail
Section 4 of 9

Patent Application Detail

UFIS is the subject of a filed patent application covering a computer-implemented intelligence, coordination and orchestration architecture. This section sets out the disclosed mechanics in the depth required for corporate development, enterprise architecture and legal review.

A. Direction + triggers

Ingestion is triggered by scheduled backfill, real-time events, API changes, manual uploads, anomaly thresholds and implementation-specific rules. Historical and current data flow into the UFIS/USO layer; approved actions can write back out.

B. Data collection

Open source: weather, market, risk, public data, geospatial. Closed source: customer systems, OT/IoT telemetry, process logs, documents and partner data. Licensing and access rights are governed at ingest.

C. AI/ML models

A portfolio approach: forecasting, anomaly detection, optimisation, causal/decision models, NLP/RAG, vision and sensor fusion. Models are swappable by use case and deployment constraints.

D. Code management and business rules

Code includes standardised connectors, reference ontologies and baseline business rules. Customised implementation rules map client systems, predictive and performance KPIs, output layers, reporting requirements and ingestion/extraction APIs.

What triggers ingestion

01Scheduled historical backfill
02Real-time event streams
03API / webhook changes
04Manual user uploads
05Thresholds / anomaly triggers
06Partner / implementation rules

The disclosed data flow

Sources
Open + closed data
Systems, OT/IoT, docs
Layer 0
Connection fabric
Connectors + agents
USO / UFIS core
Unify, score, enrich
Context + ontology
Intelligence
Predict, optimise
Decide + recommend
Action
Present, alert
Trigger workflows

Read for historical and current context; write back recommendations, alerts, actions or approved workflow updates via APIs.

How information enters UFIS

Information enters UFIS through a governed ingestion pathway. Every inbound item is attributed, validated and converted into a Unified Signal Object before any intelligence service acts upon it — so provenance, trust and governance travel with the signal for its entire lifecycle.

01
Source system
Enterprise, industrial, sensor, document or human input.
02
Connector / adapter
Layer 3 connector, API, stream subscription or upload.
03
Ingestion
Batch, streaming, event-driven, scheduled or on-demand.
04
Validation
Schema, quality, completeness and provenance checks.
05
USO conversion
Conversion into a Unified Signal Object with full attribution.
06
Governance tagging
Classification, sensitivity, residency and authority.
07
Coordination fabric
Layer 0 routes the signal to intelligence services.
Sources UFIS can ingest
Enterprise applications (ERP, CRM, EAM, ITSM, HR, finance)
Industrial and operational systems (SCADA, historians, control systems)
IoT sensors, gateways and edge devices
Imagery, video, audio and remote sensing
Documents, records and unstructured content
External and public data (weather, market, regulatory, geospatial)
Partner and supply-chain systems
Human input, inspections and field observations
Ingestion modes
Streaming
Continuous real-time event flow from live sources.
Event-driven
Signals emitted when a defined condition or change occurs.
Batch
Periodic bulk transfer of accumulated records.
Scheduled
Time-based extraction on a defined operational cadence.
On-demand
Query or request-triggered retrieval from a source system.
Edge-local
Processing and filtering at the point of measurement.

UFIS communication is bidirectional. Signals flow inbound from connected systems, and governed instructions, recommendations and coordination messages flow back outbound — always subject to authority, policy and, where required, human approval.

Recommendations returned to operational systems
Work orders, tasks and service requests
Configuration or setpoint adjustments, where authorised
Alerts and notifications to people and applications
Status, acknowledgement and outcome confirmations
Federation messages to other UFIS nodes

Automated outbound action is permitted only where the deployment's governance configuration explicitly authorises it.

Open source data

Weather, market, risk, regulatory, geospatial.

Closed source data

Customer systems, telemetry, process logs, partner data.

Code management and business rules

Business rules and deployment configuration

UFIS is configured, not rewritten, for each customer. Operational behaviour is defined through governed business rules and deployment configuration, so the same platform can serve different industries, jurisdictions and risk profiles without divergent codebases.

Operational thresholds, tolerances and trigger conditions
Escalation paths and notification routing
Authority levels required to approve each class of action
Automation boundaries — what may execute without human approval
Risk, safety and compliance constraints
Regional, jurisdictional and site-specific variations
Data residency, retention and redaction requirements
Service-level and response-time expectations
Code, configuration and release governance

Platform code, connectors, models and configuration are managed under a single controlled release discipline — supporting enterprise assurance, regulatory review and safe operation in high-consequence environments.

Source control for platform code, connectors, models and configuration
Separate development, test, staging and production environments
Automated build, test and security scanning before promotion
Change approval aligned to risk and operational consequence
Staged rollout with monitored release and rapid rollback
Immutable release records supporting audit and regulatory review

Governance controls scale with the consequence of the deployment; regulated and sovereign environments apply the strictest configuration.

Bi-directional by design

Read for historical and current context; write back recommendations, alerts, actions or approved workflow updates via APIs.

Governance applied at ingest

Lineage, identity, licensing, quality score, confidence score and retention policy are applied before analytics.

Baseline plus implementation rules

Baseline business rules ship with the platform; implementation rules map client systems, KPIs, outputs and API workflows.

UFIS is the subject of a patent application. Patent-pending status does not confer enforceable rights until and unless a patent is granted. No statement on this site should be read as a representation that a patent has been granted.