Known Error Database (KEDB)

AI-maintained knowledge base that surfaces matching solutions as tickets are created. Self-healing when new resolutions are confirmed.

Within the Service Desk zone, Known Error Database (KEDB) represents a critical operational capability that DevOps AI delivers through its unified platform. This process area operates at HITL Gate Level L0 (Fully Automated), meaning AI executes fully autonomously with comprehensive audit logging — no human approval required for routine operations.

DevOps AI implements Known Error Database (KEDB) as a fully integrated workflow within the Service Desk zone. When deployed from the Azure Marketplace, this process area is automatically provisioned with role-appropriate dashboards, notification rules, and automation policies tailored to your MSP's operational requirements.

Workflow Architecture

The Known Error Database (KEDB) workflow follows DevOps AI's standard event-driven architecture. Events are ingested through the platform's connector framework — pulling data from PSA tools (ConnectWise, Datto Autotask, HaloPSA), RMM platforms (NinjaRMM, Datto RMM), and Microsoft 365 tenants — then processed through the AI inference pipeline before reaching the L0 gate for automated execution.

Multi-Tenant Isolation

Every operation within Known Error Database (KEDB) respects DevOps AI's zero-trust multi-tenant architecture. Client data is isolated at the Azure tenant level, encrypted at rest with customer-managed keys, and processed within geo-fenced compute boundaries. No cross-client data leakage is possible — even AI models are trained on anonymized, aggregated patterns rather than raw client data.

Known Error Database (KEDB) is classified at HITL Gate Level L0, which defines exactly when AI acts autonomously and when human judgment is required. This classification was determined through risk analysis of the process area's blast radius, reversibility, and compliance implications.

Why L0?

This process area handles routine, low-risk operations where AI accuracy is consistently above 95%. Full automation reduces mean time to resolution while maintaining comprehensive audit trails for compliance. Every automated action is logged with full provenance — what was decided, why, and what data informed the decision.

Known Error Database (KEDB) does not exist in isolation — it integrates with other process areas across the Service Desk zone and the broader DevOps AI platform through the event mesh architecture. Actions in this process area can trigger workflows in related zones, and events from other zones can feed into Known Error Database (KEDB) operations.

Connector Framework

DevOps AI's connector framework provides bi-directional integration with the tools MSPs already use. For Known Error Database (KEDB), this typically includes PSA platforms (ConnectWise Manage, Datto Autotask, HaloPSA), Microsoft Graph API (Azure AD, Intune, Defender), and specialized third-party tools relevant to Service Desk operations. All connectors are managed through the platform's Marketplace zone — install once, available everywhere.

Analytics & Reporting

Every operation within Known Error Database (KEDB) generates structured telemetry that feeds into the Analytics zone. Dashboards provide real-time visibility into process area health, throughput, error rates, and HITL override frequency. Over time, the AI models learn from human overrides to improve future recommendations — creating a continuous improvement loop that makes Known Error Database (KEDB) more accurate with every interaction.

Audit Trail

Complete audit provenance is maintained for every action within Known Error Database (KEDB). This includes the triggering event, AI analysis results, HITL gate decisions (including who approved and when), execution outcomes, and any rollback actions. Audit data is immutable, tamper-evident, and exportable in OSCAL format for compliance evidence collection.