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iBPMS· Business Process ManagementIn Development

Stage 4 · Turbine — Power Extraction

iBPMS

AI-native process orchestration for regulated enterprises.

Design, execute, monitor, and improve enterprise workflows — permits, approvals, inspections, procurement, compliance — with AI augmentation and human-in-the-loop governance built in.

FADEC · FULL AUTHORITY DIGITAL ENGINE CONTROL · AI Insight
01INTAKE02COMPRESSION03COMBUSTION04TURBINE05DELIVERYFig 3.ATHE INTELLECTUAL ENGINE™ · FIVE STAGES · FOUR PRODUCTS

HOVER A STAGE TO INSPECT · FIVE STAGES · FOUR PRODUCTS · ONE ENGINE

ARCHITECTURE

The iBPMS Engine

Where intelligence becomes action — the stage that extracts usable work from processed data and drives enterprise outcomes.

Fig 5.AProcess Orchestration Model
PROCESS MONITOR · ANALYTICSReal-time analytics · SLA tracking · breach predictionTRIGGERProcess EngineBPMN 2.0 · ORCHESTRATIONDECISIONrules + routeAI-AUGMENTED ROUTELLM suggestion · IDP · anomalyHUMAN TASKinbox · delegation · escalationINTEGRATION CALLiPass · webMethods · APICOMPLETION + AUDIT TRAIL
Fig 5.BSix Use-Case Flows — Patterns We Ship Repeatedly
PERMITApplyReviewInspectApprovePROCUREMENTReqReviewPOPayCOMPLIANCEEventEvidenceReviewFileINSPECTIONSchedAssignFieldReportHRRequestProvisionTrainActiveINCIDENTDetectClassifyAssignRCA

Each four-step pattern below has been delivered into government, regulated, or enterprise programmes.

Fig 5.CStage Breakdown — What Each Capability Does
[4.1]

Process Engine

BPMN 2.0 process execution with full lifecycle management. Visual designer, version control, rollback, and hot-deploy.
[4.2]

Business Rules

Decision-table engine for configurable business logic. Non-developers modify rules without deployment cycles.
[4.3]

Human Task Management

Role-based task inbox with mobile support. Delegation, escalation, SLA breach alerting, and full audit trail.
[4.4]

AI-Augmented Routing

LLM-powered next-action suggestion, document extraction for task pre-fill, and anomaly detection on process deviation.
[4.5]

Torque (Throughput)

Designed for high-volume government workflows — thousands of concurrent process instances with sub-second task routing.
[4.6]

Turbine Efficiency (SLA Management)

Per-process SLA configuration, breach prediction, escalation trees, and real-time performance dashboards.

THE FOUR PILLARS

How iBPMS Works

Process Design

BPMN 2.0 visual process modeller. Low-code form builder. Decision table management for non-developers.

AI Augmentation

AI-suggested next action, auto-routing, document extraction for task pre-fill, and anomaly detection on process deviations.

Human Tasks

Role-based task inbox. Mobile-ready. Escalation, delegation, SLA breach alerting, and immutable audit trail.

Process Analytics

Real-time dashboards. SLA breach alerts. Bottleneck heatmaps. AI-generated process improvement reports.

USE CASES

Where iBPMS Fits

Six categories of enterprise process where we've delivered orchestration in production.

Permit & Licence Workflows

Application → Review → Inspection → Approval

Procurement Approvals

Requisition → Review → PO → Payment

Regulatory Compliance

Trigger → Evidence → Review → Filing

Inspection Management

Schedule → Assign → Field → Report → Close

HR Onboarding / Offboarding

Request → Provisioning → Training → Active

Incident Management

Detect → Classify → Assign → Resolve → RCA

THE DIFFERENCE

BPMN 2.0 + AI — Why It Matters

Traditional BPMS

  • · Rules-based only — no intelligence
  • · Rigid forms and routing
  • · Manual document review and data entry
  • · Bottlenecks discovered after they happen
  • · Reports compiled by analysts after the fact

iBPMS

  • · AI suggests next action contextually
  • · Adaptive routing based on history and load
  • · Document extraction populates task fields
  • · Predicts delays before they cascade
  • · AI-generated process improvement reports

Request iBPMS Early Access

Tell us about your highest-volume workflow. We'll walk you through how iBPMS would orchestrate it end-to-end.