GEN AI-POWERED MANAGED SUPPORT | AUTONOMOUS REMEDIATION
From Reactive to Predictive
How Gen AI closes the gap between growing transaction volume and manual Sterling support from first automated fix to fully predictive operations.
The Autonomous Sterling Support Model is not a future vision – it is an operational reality built today through Gen AI layered directly on top of your existing IBM Sterling environment. Rather than replacing the platform, it gives the people who run it a faster, smarter way to operate it: correlating logs, classifying failures, and resolving known error patterns without waiting on a human to notice first.
At Pragma Edge, this automation is the foundation of a managed support model that is intelligent by design and accountable by default. Instead of simply automating tickets, the system learns from every incident, prevents the next one, and delivers efficient, effective, transformative results across your entire B2B Integrator, File Gateway, and MFT footprint.
The Sterling Support Intelligence Loop
Every Gen AI capability inside your Sterling environment operates through a continuous cycle: detect → diagnose → remediate → verify → learn → escalate. Understanding this loop is essential for delivering managed support that is both intelligent and auditable across regulated EDI transactions.
Capability Pillars
DETECT – Monitor the Environment
Continuous monitoring ingests signals from across your Sterling estate: transaction volumes, envelope failure rates, adapter connection health (AS2/SFTP/OFTP2), and BPML process logs. Context is assembled from multiple sources simultaneously, not a single alert feed.
DIAGNOSE – Correlate Root Cause
AI-powered RCA correlates BPML, adapter, and Document Tracking data against known failure patterns, classifies each issue as safe-to-automate or needing review, and flags duplicate-transaction risk. Complex incidents are broken into a clear, structured resolution plan.
REMEDIATE – Resolve in Real Time
Auto-Fix resolves known error patterns automatically, and Auto-Reprocess clears intermittent failures with built-in duplicate-detection safeguards. Every automated action runs through secure, governed workflows nothing executes silently or without context.
VERIFY – Confirm the Outcome
After each automated fix, the system verifies the outcome matches expectations. High-impact document types and payment-bearing transactions route through human confirmation, and every action is logged for audit and compliance review.
LEARN – Improve Every Cycle
Successful fixes, failure patterns, and expert feedback are recorded so the same error is never manually diagnosed twice. Over time, forecasting gets sharper at predicting capacity and risk windows before they become incidents.
Enterprise Sterling Support Capabilities
Pragma Edge delivers three distinct capability sets, each optimized for a specific stage of the support lifecycle. They are designed to work together as a coordinated layer to modernize how your Sterling environment is run.
Autonomous Remediation
Designed to resolve known Sterling error patterns automatically, with speed, consistency, and full auditability. These capabilities continuously execute recovery workflows across AS2, SFTP, and MFT transaction failures without waiting for a ticket.
Core Capabilities
Operational Intelligence Agents
Built to continuously observe enterprise application environments, identify modernization risks, surface performance bottlenecks, and provide AI-driven recommendations for transformation planning and operational optimization.
Core Capabilities
Enterprise Orchestration Agents
Coordinate large-scale modernization programs across systems, workflows, teams, and deployment environments. These agents manage dependencies, orchestrate transformation pipelines, and streamline enterprise modernization execution.
Core Capabilities
Enterprise Sterling Support with Governance Built In
Pragma Edge delivers Gen AI-powered Sterling support through execution frameworks designed with governance, operational visibility, and enterprise trust at every stage because Sterling environments routinely carry regulated EDI data that can’t be handled casually.
What Good Managed Support Looks Like
Mean Time to Resolution (MTTR)
How long it takes from error detection to full resolution, across every error class in your Sterling environment the single clearest before/after signal of AI-driven remediation.
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Recurring Error Rate
Share of incidents that are repeat occurrences of a previously seen failure pattern the clearest proof that automation is preventing repeat work, not just logging it faster.
Straight-Through Processing Rate
Percentage of transactions completed with zero manual intervention, from receipt through partner acknowledgment the throughput number that scales without adding headcount.
Partner Onboarding Cycle Time
Time from kickoff to a certified, production-ready trading partner — the metric that shows whether Auto-Generate Mappings is actually shrinking the onboarding backlog.
SLA Attainment
Percentage of incidents resolved within committed response and resolution SLAs not just uptime, but accountability for how fast issues actually get fixed.
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Mean Time to Detect (MTTD)
How early anomalies are caught relative to business impact, not just system alerts proof that operations have shifted from reactive to predictive.
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Building the Predictive Sterling Support Enterprise
Organizations achieve long-term Sterling modernization success by incrementally scaling Gen AI-driven support capabilities across platform operations, partner onboarding, and enterprise integration workflows.
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IBM Partner Engagement Manager Standard is the right solution
addressing the following business challenges
IBM Partner Engagement Manager Standard is the right solution
addressing the following business challenges
IBM Partner Engagement Manager Standard is the right solution
addressing the following business challenges