AI Operations Experience

Governed agent workflows for modern support teams.

A portfolio-ready incident operations dashboard blending multi-agent reasoning, retrieval, policy controls, and human handoff into one executive-friendly experience.

7
specialized agents
24/7
triage posture
P1-aware
guardrail routing

Decision surface

From noisy ticket to controlled action

Live UI concept

MTTR improvement

62%

Faster mean time to resolution via agent-assisted triage

Auto-resolve rate

41%

Low-risk P3 incidents handled without human touch

P1 guardrail coverage

100%

All critical incidents require human approval before action

KB match rate

84%

Incidents matched to runbook or prior resolution

Production-style guardrails block unsafe automation on P1 and medium/high-risk changes.
7
Specialized agents
3
Resolution lanes
62%
MTTR improvement
41%
Auto-resolve rate
100%
P1 human oversight
84%
KB match accuracy

Operating model

Three resolution lanes, one governed system.

Each incident is routed through a confidence and risk assessment before any automated action is considered. The system never bypasses human judgment on high-stakes changes.

Auto-execute

Low-risk, high-confidence

Repeatable incidents with strong retrieval evidence and approved runbooks execute automatically. Evidence is logged for every step.

Human review

Medium-risk or low confidence

The agent prepares a structured recommendation package — context, KB evidence, proposed action — and routes to an operator with one-click approval.

Guardrail escalation

P1 & high-risk protection

P1 incidents are fully protected. The system accelerates diagnosis and prepares context while ownership transfers immediately to a human.

Interactive walkthrough

Ticket-to-resolution workflow

Select an incident to see how the system classifies, retrieves context, applies policy, and decides whether to automate or route to a human.

Auto-resolve path Human review path

Incoming incidents

ServiceNow-style queue

Select an incident →

Choose a ticket from the queue to begin the walkthrough

Execution path

Agent chain

Select an incident to begin.

Agent response

Structured output

JSON trace

Waiting for agent execution…

Architecture

How the system is composed.

Four integrated layers handle the full lifecycle from noisy alert to resolved ticket and logged evidence.

01

Classification & reasoning

Smaller models handle extraction and routing. A stronger reasoning model produces grounded recommendations and concise handoff summaries.

LLM Layer

02

Retrieval & context

Semantic retrieval surfaces similar tickets, runbooks, service ownership, and dependency context with metadata-aware filtering.

Retrieval Layer

03

Stateful orchestration

Confidence thresholds, approvals, timeouts, and execution evidence are managed centrally so each step remains auditable and traceable.

Orchestration

04

Guardrails & governance

P1 incidents, medium/high-risk runbooks, and weak-confidence routes are blocked from auto-execution and sent to humans with full structured context.

Governance