Engineering & Operations

AI Incident Resolution

An illustrative enterprise workflow for collecting operational evidence, assisting root-cause analysis, coordinating specialized agents, and supporting controlled remediation and review.

Monitoring & eventsLogs & tracesSource contextHuman review
Reference Architecture

From operational signal to reviewed change.

Production applications can emit monitoring events into an issue-orchestration workflow. Relevant logs, traces, and source information are collected into an evidence package that can be processed by specialized agents.

Foundation-model capabilities can assist with reasoning, analysis, document processing, and other AI-supported tasks. Review, testing, and delivery controls remain part of the surrounding application workflow.

Evidence collectionSpecialized agentsTestingManual merge
01

Detect

Receive application and infrastructure events from customer-approved monitoring sources.

02

Collect

Gather relevant logs, traces, source context, and other operational evidence.

03

Analyze

Use specialized AI-assisted workflows for evidence review and root-cause investigation.

04

Review & Deliver

Run testing and review steps before human-controlled delivery actions.

Illustrative, not a fixed deployment template

The workflow shows one representative use case. Exact infrastructure, integrations, model choices, control boundaries, and operational responsibilities depend on the customer deployment.