Know When AI Predictions Are Safe to Trust — Before You Act.
Adds a measurable credibility score to every AI prediction so teams know when to automate and when to pause.
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The Problem
AI Predictions Without Trust Create Risk
When credibility is unclear, telecom teams hesitate, automation slows, and silent failures slip through.
AI predictions feel opaque and risky
Teams hesitate to act on forecasts
False positives erode trust in automation
No reliable way to audit prediction accuracy
Model drift remains invisible until outages occur
CredScore™ Explained
How CredScore™ Works
CredScore continuously validates AI predictions against live network behavior to determine when automation is safe.
Outcome Validation
CredScore assigns a 0–100 credibility score to every AI-generated forecast by continuously comparing predicted outcomes with actual path behaviour.
Signal Cross-Check
It validates predictions derived from PRI, PSS, ARI, MRR, CI, BPCI, and throughput signals against real telemetry.
Adaptive Confidence
Confidence is adjusted over time using feedback loops, stability windows, and outcome verification.
Governed Automation
Low credibility triggers retraining signals, while high credibility enables governed automation.
Watch CredScore™ Validate Predictions
See how CredScore assigns trust scores to AI predictions in real-time — so you know when to automate and when to pause.
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CredScore™ Trust Layer Demo
2:45 min • Real-time validation
The Path Intelligence Edge
Not just predictions — a verifiable trust layer that connects AI decisions to real network outcomes.
Measures trustworthiness, not just prediction output
Explicitly links AI accuracy to real outcomes
Enables policy-driven automation (“act only if CredScore ≥ X”)
Fully auditable and explainable
Prediction Confidence Gauge
AI Prediction vs Actual Outcome
Real-time validation of forecast accuracy
Path Failure
Forecasted congestion-induced degradation
Path Failure Verified
Confirmed via live telemetry & loss correlation
This prediction achieved a 94% CredScore based on historical accuracy, signal stability, and real-world outcome verification. Policies allowing automated remediation would have executed safely.
Business Benefits
Maximize trust and efficiency with CredScore™ guiding automation and decision-making.
Governed Automation
Set policy gates (e.g., auto-remediate only when CredScore ≥ 90).
65% Reduction in MTTR
High-confidence signals trigger self-healing workflows in seconds.
Continuous Improvement
Low scores automatically trigger model retraining to adapt to evolving hybrid environments.
Audit-Ready AI
Provides transparent logs of prediction accuracy for PCI-DSS and ISO compliance.
99% SLA Compliance
Prevents the $16M/year penalties associated with slow incident resolution in banking and telecom.
Ideal Use Cases
Where CredScore™ enables safe automation across mission-critical networks.