FILLYNX
The intelligent connector that ensures your workflows are never incomplete — bridging data, logic, and systems with adaptive awareness.
System Overview
FILLYNX (short for *“Filling Links”*) was built to detect and resolve gaps that weaken operational integrity — missing data fields, broken handoffs, delayed approvals, or incomplete automation chains.
It scans across platforms, databases, and teams to ensure that every process loop is closed. When a workflow breaks, FILLYNX doesn’t just alert you — it understands *why* it happened, suggests a resolution, and can even fix it automatically.
Core Capabilities
Workflow Integrity Engine
FILLYNX continuously scans Jira, ServiceNow, and connected data systems to find missing, incomplete, or inconsistent fields that block automation or reporting accuracy.
- Detects missing assignees, due dates, or business fields
- Identifies stalled or orphaned tasks
- Triggers corrective workflows directly in Teams or Slack
- Ensures complete, audit-ready work records
Adaptive Field Detection
Using machine learning, FILLYNX recognizes what fields or values *should* exist based on project type, workflow history, and data behavior — predicting what’s missing before a user even notices.
- Predictive field completion using context learning
- Dynamic schema mapping across systems
- Auto-suggestions for new or related data
- Custom validation rules based on enterprise logic
Cross-System Synchronization
FILLYNX connects siloed systems — from internal SQL databases to collaboration tools — ensuring information stays consistent across every touchpoint.
- Real-time data sync across Jira, ServiceNow, Azure DevOps
- Two-way mirroring with cloud and on-prem environments
- Version control and data lineage visibility
- System health tracking and update transparency
Intelligent Notification Layer
FILLYNX notifies users intelligently — not for every alert, but for the ones that matter. It prioritizes by urgency, business impact, and workflow dependencies.
- Priority-based Microsoft Teams and email alerts
- Conversational prompts for missing task data
- Escalation paths for overdue or critical issues
- Feedback-based suppression to reduce alert fatigue
System Architecture
Data Ingestion Layer
Connects directly to cloud APIs, databases, and file stores to extract metadata, workflow events, and entity relationships in real time.
Logic Graph Engine
Builds a living dependency graph between tasks, issues, and projects to visualize where breakdowns occur and recommend corrective paths.
Automation Layer
Executes fixes via adaptive scripts, Power Automate flows, or system APIs — updating records, filling gaps, or creating tickets automatically.
Experience Layer
Visualizes FILLYNX findings in interactive dashboards or chat assistants (ARLYNXE integration) — creating a single intelligent interface for insight and action.
Impact Metrics
93%
Reduction in manual QA checks
+41%
Increase in process throughput
87%
Task completion accuracy improvement
99.5%
System synchronization uptime
Deployment Timeline
Phase 1: Integration
Connect FILLYNX to your Jira, ServiceNow, or SQL systems.
Phase 2: Detection Mode
FILLYNX learns your workflows, schemas, and business logic.
Phase 3: Active Intelligence
Live monitoring and auto-fix functionality activates.
Phase 4: Expansion
Connects to additional platforms for full operational coverage.
Timeline: Small Business (3–4 weeks) · Enterprise (5–7 weeks)
Integrated Systems
- • Jira / ServiceNow
- • Microsoft Teams / Power Automate
- • Azure SQL / MongoDB
- • SharePoint / Confluence
- • FILLYNX + ARLYNXE integration
- • RESTful APIs / Webhooks
Close Every Gap. Complete Every System.
FILLYNX transforms fragmented workflows into self-correcting systems — because in an intelligent enterprise, nothing should fall through the cracks.
Deploy FILLYNX