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AZUREOPS
AI
An AI-powered DevSecOps platform that connects your Azure DevOps and GitHub pipelines, detects failures instantly, generates fixes, and monitors infrastructure drift — all in one intelligent dashboard.
AI-Powered DevSecOps Multi-Tenant SaaS Azure Native Phase 4 — Active
V 0.4.0 — MAY 2026
The Problem
WHY DEVOPS TEAMS
ARE STRUGGLING
Modern software teams manage pipelines across multiple platforms, deal with cloud cost surprises, and manually investigate failures — wasting hours every day on work that AI can automate.
01
Hours Lost to Manual Investigation
When a pipeline fails, engineers manually scroll through thousands of log lines to find the root cause. A task that takes hours can be solved in seconds with AI pattern recognition.
02
🔀
Fragmented Visibility
Teams use ADO for some projects and GitHub for others. There is no single view of pipeline health across all platforms. Engineers switch between 4–6 tools to get a complete picture.
03
💸
Cloud Cost Surprises
Infrastructure drift and unmonitored resources silently inflate Azure bills. Teams discover cost anomalies at month-end, not in real time — after the damage is done.
04
🔒
Security Blind Spots
Security findings from Defender for Cloud and policy violations go untracked between releases. There is no automated correlation between a pipeline failure and a security event.
05
🏗
IaC Written by Hand
Writing Bicep and Terraform templates requires specialist knowledge. Small teams without IaC expertise make manual changes in the portal — creating drift and security risk.
06
📊
No Unified Reporting
Engineering leads, architects, and executives have no shared view of DevOps health. Weekly status meetings are driven by anecdote, not data — slowing decisions.
The Solution
WHAT AZUREOPS AI
DOES FOR YOU
AzureOps AI is a single platform that replaces manual DevOps investigation with AI-driven automation — connecting your tools, analysing your data, and acting on your behalf.

Unified Pipeline Intelligence

Connects to both Azure DevOps and GitHub simultaneously. Every pipeline run from every project flows into one normalised dashboard — pass rates, durations, failures, and trends across all your teams.

ADO Integration GitHub Actions Real-time

AI Failure Analysis

When a pipeline fails, AI instantly reads the logs, identifies the root cause, and generates a fix. Claude, Gemini, and OpenAI are routed by task type — the best model for each problem.

Claude AI Gemini OpenAI

Infrastructure Drift Detection

Continuously compares your live Azure infrastructure against your Terraform state. Any manual change, missing resource, or configuration drift is flagged immediately — before it becomes an incident.

Terraform Azure Monitor

Natural Language IaC Studio

Describe infrastructure in plain English. AzureOps AI generates validated Bicep or Terraform templates and raises them as pull requests in your ADO repository — ready for review.

Bicep Terraform Auto-PR

Cost Anomaly Monitoring

Real-time Azure cost tracking with AI-powered anomaly detection. Unusual spend patterns trigger alerts with root cause analysis — which resource, which team, which deployment caused it.

Azure Cost Alerts

Security & Compliance Engine

Integrates with Microsoft Defender for Cloud and Azure Policy. Security findings are correlated with pipeline events, giving you a complete picture of risk across your DevOps lifecycle.

Defender Azure Policy
Architecture
HOW IT WORKS
AzureOps AI is built on a modern, cloud-native architecture deployed entirely on Microsoft Azure. Every component is production-grade, scalable, and secured from day one.
Data Sources
Pipeline
Azure DevOps
Pipeline
GitHub Actions
Cloud
Azure Monitor
Security
Defender for Cloud
Webhooks
+ API
Platform Core
Backend
Node.js + Express
Database
PostgreSQL (Azure)
Cache
Redis (Azure)
Secrets
Azure Key Vault
AI Router
+ REST API
Intelligence + UI
AI
Claude (Anthropic)
AI
Gemini + OpenAI
Frontend
Next.js Dashboard
CI/CD
GitHub Actions
Competitive Advantage
AZUREOPS AI VS
TRADITIONAL APPROACH
See how AzureOps AI transforms your DevSecOps process compared to the traditional manual approach used by most teams today.
Capability Traditional DevOps AzureOps AI
Pipeline failure investigation Engineer manually reads logs — 1–3 hours per incident AI reads logs and identifies root cause in seconds
Multi-platform visibility Switch between ADO, GitHub, Azure Portal separately Single unified dashboard for all platforms
Infrastructure drift Discovered during incidents or audits — too late Continuous detection, alerted in real time
IaC authoring Requires specialist Bicep/Terraform knowledge Natural language → validated template → PR raised
Cost anomalies Discovered at month-end billing review Real-time AI anomaly detection with root cause
Security correlation Security and DevOps siloed in separate tools Pipeline events correlated with security findings
Multi-tenant support Separate tooling per customer — high ops overhead Isolated and dedicated tiers — built from day one
AI model flexibility None — fixed tooling Intelligent routing — Claude, Gemini, OpenAI per task
Business Impact
MEASURABLE OUTCOMES
FOR YOUR TEAM
AzureOps AI delivers quantifiable improvements to engineering velocity, cost control, and security posture — from day one of deployment.
90%
Faster Failure Resolution
AI root cause analysis reduces pipeline failure investigation from hours to seconds. Engineers spend time building, not debugging logs.
1view
Unified Platform Visibility
Replace 4–6 separate tools with one dashboard. ADO, GitHub, Azure Monitor, Defender — all correlated in real time, in one place.
0day
Real-Time Drift Detection
Infrastructure drift is caught the moment it happens — not during a post-incident review. No more manual infrastructure audits.
3AI
Best AI for Every Task
Claude, Gemini, and OpenAI are intelligently routed by task type. The right model is always selected — maximising accuracy and minimising cost.
scale
Multi-Tenant SaaS Ready
Isolated and dedicated infrastructure tiers from day one. Onboard new enterprise customers without architectural changes or data risk.
100%
Azure Native Security
Managed Identity, Key Vault, OIDC, and Defender integration — no passwords in code, no secrets in pipelines, no manual credential rotation.
Technology Stack
BUILT ON ENTERPRISE-
GRADE TECHNOLOGY
Every technology choice was made for production-grade reliability, security, and long-term scalability — not convenience.
Frontend
Next.js 14 (TypeScript)
Tailwind CSS
Lucide Icons
Azure App Service
Standalone Output Mode
Backend
Node.js + Express
TypeScript
Prisma ORM v7
Pino Structured Logging
Azure App Service
Data & Secrets
PostgreSQL (Azure Flexible)
Redis (Azure Cache)
Azure Key Vault
Managed Identity (OIDC)
App Insights
AI & Infrastructure
Claude (Anthropic)
Gemini (Google)
OpenAI (GPT)
Terraform
GitHub Actions CI/CD
Roadmap
DELIVERY ROADMAP
A structured, phased delivery approach — each phase delivers working software before the next begins. No big bang releases.
0–3
Complete
Foundations
Azure infra, CI/CD, backend API, frontend dashboard — all live on Azure.
4
Active Now
ADO + GitHub Integration
Real pipeline data flowing into dashboard. AI chat answering questions about failures.
5
Next
AI Engine
Failure analysis, drift detection, cost anomaly monitoring with AI root cause.
6–7
Planned
IaC Studio + Security
Natural language → Bicep/Terraform. Defender integration, policy scanning.
8–9
Planned
SaaS Launch
Multi-tenancy, auth, onboarding wizard, billing, custom domain, documentation.
Live Environment
CURRENT AZURE
DEPLOYMENT
AzureOps AI is already live on Microsoft Azure in the Southeast Asia region. All infrastructure is provisioned via Terraform and deployed via GitHub Actions.
App Services — Live
  • Backend API LIVE ✓
  • Frontend Dashboard LIVE ✓
  • Health Endpoints 200 OK
  • Region SE Asia
Data Layer
  • PostgreSQL Flexible Server LIVE ✓
  • Redis Cache LIVE ✓
  • Database Schema MIGRATED
  • Prisma ORM v7.8.0
Security Layer
  • Azure Key Vault LIVE ✓
  • Managed Identity ENABLED
  • OIDC (GitHub → Azure) ENABLED
  • App Insights LIVE ✓