unSkript

Proactive Agentic AI for IT Support

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Description

unSkript is a revolutionary Agentic-AI platform engineered to elevate IT support operations, particularly for Managed Service Providers (MSPs), by enabling unprecedented Service Level Agreement (SLA) achievements and significant cost efficiencies. This intelligent and context-aware solution fully automates the critical processes of Root Cause Analysis (RCA) and issue remediation. The platform proactively conducts health checks across customer environments, intelligently correlates diverse signals, diagnoses problems, and implements fixes before they escalate, effectively transforming reactive issue detection into a proactive operational model.

At its core, unSkript utilizes a battle-tested Agentic AI that can intelligently interpret ongoing health check data and failure diagnostics. If necessary, the AI seeks additional diagnostic information to enrich its understanding of an issue. It leverages learned knowledge from historical fixes, prioritizes the most critical problems, and accurately determines their root causes. Following RCA, unSkript's Generative AI Remediation Agent proposes executable steps for resolution, offering a human-in-the-loop interface for oversight. The system continuously learns from resolved incidents, enhancing its effectiveness over time, helping teams minimize downtime and focus on strategic tasks.

Key Features

Proactive Always-On Health Checks: AI vigilantly monitors customer journeys, spotting symptoms before they become significant problems, and learns new checks from wikis and diagnostic sessions.
Agentic AI driven automated RCA: Intelligently correlates diverse signals from health checks and diagnostics, enriches issue data, uses learned knowledge from historical fixes, prioritizes critical issues, and determines root causes.
Generative AI based Remediation: Provides executable steps for problem resolution post-RCA, with an interactive Human-In-Loop user interface for control before execution, and learns from successful incident resolutions.

Use Cases

Automating IT support operations for Managed Service Providers (MSPs).
Proactively identifying and resolving IT infrastructure issues before customer impact.
Reducing Mean Time To Resolution (MTTR) for IT incidents.
Increasing first-call resolution rates in IT support.
Automating comprehensive Root Cause Analysis for complex IT problems.
Streamlining IT issue remediation with AI-generated, executable solutions.