Your Intelligent Cloud Copilot
An enterprise AI assistant that knows your infrastructure, understands your role, and executes actions in context. Not a chatbot — a copilot that operates your cloud environment alongside you.
See It In Action
From catalog recommendation to provisioning to troubleshooting — all in one conversation.
Interactive Demo
I need to provision a Linux VM for my testing environment. What do you recommend?
Based on your role and available catalogs, I recommend: 1. **Azure Dev Sandbox** — B2s, Ubuntu 22.04, auto-destroys in 7 days. ~$30/mo. 2. **AWS EC2 Dev Instance** — t3.small, Amazon Linux 2. ~$15/mo. Both are available to your role. The Azure option includes pre-installed dev tools. Would you like me to open one of these?
Catalog Intelligence — recommends based on role, cost, and intent
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Enterprise-Grade Capabilities
Nine powerful capabilities that transform how your team manages cloud infrastructure — from provisioning to cost optimization to incident response.
Context-Aware Intelligence
The AI copilot automatically understands your current page, selected resource, role, and permissions. Say "restart this" while viewing a VM and it knows exactly which resource you mean — no IDs, no navigation, no friction. It adapts suggestions dynamically based on where you are and what you can do.
Restart this VM
Restarting **azure-vm-prod-web-03** (Standard_D4s_v3, East US)... ✓ Restart initiated successfully. The VM will be back online in approximately 30-60 seconds. I'll monitor the status — current state is now "Restarting".
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AI copilot performing a resource action with full context awareness
Natural Language Provisioning
Provision cloud resources by describing what you need in plain English. The copilot finds the right catalog, pre-fills the form with your specifications, and opens it ready to submit. Turn "I need a t3.medium EC2 in us-west-2" into a one-click deployment.
Provision a t3.medium EC2 instance in us-west-2 for my dev environment
I've opened the **AWS EC2 Instance** catalog form with your specifications pre-filled: - Instance Type: t3.medium - Region: us-west-2 - Environment: development Review the form on the left and click Submit to start provisioning. Estimated cost: $0.0416/hr (~$30/month).
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Natural language provisioning with form pre-fill and cost estimate
Intelligent Troubleshooting
When deployments fail, the copilot analyzes execution logs, identifies the root cause, and explains the error in plain language with actionable fix suggestions. No more digging through Terraform output or decoding cryptic cloud provider errors.
Why did my last deployment fail?
Your Azure VM deployment failed at step 3 (terraform-apply) with error: **Quota exceeded**: Your subscription has reached the limit for Standard_D4s_v3 instances in East US (limit: 10, current: 10). **Suggested fixes:** - Use a different region (West US 2 has capacity) - Request a quota increase from Azure portal - Use a smaller instance type (Standard_D2s_v3) Would you like me to retry with West US 2?
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AI copilot analyzing a failed execution and suggesting fixes
Smart Catalog Recommendations
Describe what you need and the copilot recommends the best catalog items based on your intent, role eligibility, cloud provider preference, and cost. It understands your organization's service catalog and matches you to the right resource template.
I need a cheap Linux VM for testing
Based on your requirements, here are my recommendations: 1. **Azure Dev Sandbox VM** — B2s instance, Ubuntu 22.04, $0.042/hr (~$30/mo). Best for lightweight testing. 2. **AWS EC2 Dev Instance** — t3.small, Amazon Linux 2, $0.021/hr (~$15/mo). Most cost-effective option. 3. **Quick Test Environment** — Pre-configured with dev tools, auto-destroys after 7 days. Would you like me to open any of these?
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AI copilot recommending catalogs based on user intent and cost
Live Cloud Pricing & Cost Intelligence
Compare instance costs across AWS, Azure, and GCP in real-time. Get instant pricing lookups, monthly cost estimates, and cross-provider comparisons. Make informed decisions before provisioning with accurate, up-to-date pricing data.
Compare the cost of a 4-vCPU VM across AWS, Azure, and GCP in US regions
**4-vCPU Instance Comparison (Linux, US regions):** | Provider | Instance | Region | $/hour | $/month | |----------|----------|--------|--------|--------| | AWS | m5.xlarge | us-east-1 | $0.192 | $140 | | Azure | Standard_D4s_v3 | East US | $0.192 | $140 | | GCP | n2-standard-4 | us-central1 | $0.194 | $142 | AWS and Azure are nearly identical. GCP is slightly higher but offers sustained-use discounts that reduce cost by ~20% for always-on workloads.
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Real-time cross-provider pricing comparison
Proactive Insights & Alerts
The copilot doesn't wait for you to ask. It surfaces actionable insights on your dashboard: expiring resource leases, failed executions, budget overruns, and sync errors. Stay ahead of issues before they become incidents.
Give me a platform health check
**Platform Health Summary:** ⚠️ **3 resources** have leases expiring within 48 hours ❌ **2 executions** failed today (Azure quota + Terraform state lock) 💰 **Dev Team budget** is at 94% ($4,700 / $5,000) ✅ All 5 credentials synced successfully ✅ 12 active resources running normally **Recommended actions:** - Extend or destroy expiring leases - Review failed executions - Increase Dev Team budget or reduce spend
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Proactive AI insights card on the dashboard
Role-Based Access Intelligence
The copilot has full awareness of your platform data but strictly respects RBAC. Users see only their own resources and executions. Admins get platform-wide analytics. The assistant never exposes unauthorized data or suggests actions beyond your permissions.
Show all running resources
**Your Active Resources (3):** | Name | Type | Provider | Region | Running Since | |------|------|----------|--------|---------------| | web-server-01 | EC2 (t3.medium) | AWS | us-east-1 | 5 days | | dev-database | RDS (db.t3.small) | AWS | us-east-1 | 12 days | | test-vm | VM (B2s) | Azure | East US | 2 days | Total estimated monthly cost: ~$95. Would you like to stop any of these or check detailed costs?
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Ownership-filtered resource view respecting RBAC
Platform API Execution
Developers and admins can discover, explore, and execute any CMP API endpoint through natural language. Browse endpoints by category, inspect parameters, and run requests — all within the conversation. Your session credentials are used automatically.
Run GET /api/v1/inventory with status=active
**API Response** — `GET /api/v1/inventory?status=active` Status: 200 OK ```json { "total": 8, "items": [ {"name": "web-server-01", "type": "ec2", "status": "active", "provider": "aws"}, {"name": "dev-database", "type": "rds", "status": "active", "provider": "aws"}, ... ] } ``` 8 active inventory items returned. Would you like to filter further or try another endpoint?
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Developer executing a platform API through natural language
Organization Knowledge Integration
Connect your internal documentation — Confluence wikis, GitHub repos, architecture guides, naming conventions — and the AI copilot uses them as context. It answers questions using your organization's specific standards, not just generic cloud knowledge.
What naming convention should I use for this VM?
Based on your organization's naming standards: **Format:** `{env}-{app}-{role}-{number}` For your dev web server: → `dev-myapp-web-01` Rules from your standards doc: - Environment prefix: dev, stg, prd - App name: lowercase, max 10 chars - Role: web, api, db, cache, worker - Number: zero-padded, 2 digits Would you like me to pre-fill this name in the provisioning form?
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AI copilot using organization-specific knowledge to answer questions
Contextual Inline AI Suggestions
AI action buttons appear exactly where you need them — on failed executions, resource detail pages, policy violations, and budget alerts. No need to open the AI panel or context-switch. Click "Ask AI to explain this error" right next to the error itself.
[Clicks "Ask AI to explain this error" on a failed execution]
Your Terraform apply failed because the IAM role attached to your credential doesn't have `ec2:RunInstances` permission in the us-west-2 region. **Suggested fixes:** - Switch to us-east-1 where your credential already has access - Ask your admin to add us-west-2 to the IAM policy - Use a different credential with broader permissions Would you like me to retry with us-east-1?
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Inline AI suggestion buttons on a failed execution detail page
AI-Powered Catalog Recommendations
The catalog page proactively suggests relevant items based on your usage patterns, role, and stated intent. See "users like you also provisioned" recommendations, discover new catalog items you haven't tried, and get intent-matched results as you search.
[Browsing the catalog page with search: "database"]
**Recommended for you:** 1. **AWS RDS PostgreSQL** — You've used this 4 times recently. Tags: database, aws, postgresql. 2. **Azure SQL Database** — Similar to catalogs you've used (tags: database, managed). New catalog you haven't tried yet. 3. **Quick Dev Database** — Pre-configured with sample data, auto-destroys in 7 days. Based on your usage patterns.
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AI-powered catalog recommendations based on user behavior
Persistent Conversation History
Every AI conversation is automatically saved and accessible later. Resume past conversations, reference previous answers, and build on prior context. Your conversation history is stored securely per user and persists across sessions.
[Opens conversation history panel]
**Your Conversations:** 1. "Provision a t3.medium EC2..." — 12 messages, 2 hours ago 2. "Why did my deployment fail?" — 8 messages, yesterday 3. "Compare pricing across providers" — 6 messages, 3 days ago 4. "Help me create a new catalog item" — 15 messages, last week Click any conversation to resume where you left off.
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Persistent AI conversation history panel with resumable sessions
Why Teams Choose Our AI Copilot
Unlike generic AI chatbots, our copilot is deeply integrated into the platform with full data access and strict security controls.
Full Platform Awareness
Access to inventory, executions, audit logs, budgets, policies, and credentials. The copilot knows your entire cloud estate.
Strict RBAC Enforcement
Users see only their own data. Admins see everything. The copilot never leaks unauthorized information or suggests forbidden actions.
Action Execution, Not Just Answers
Start, stop, restart resources. Open provisioning forms. Approve requests. Sync credentials. Real actions, not just guidance.
Ownership-Aware Filtering
"Show my resources" automatically filters to your inventory. No manual scoping needed — the copilot understands data ownership.
Multi-Cloud Cost Intelligence
Real-time pricing across AWS, Azure, and GCP. Compare instances, estimate monthly costs, and get budget alerts proactively.
Zero Configuration
No training, no prompt engineering, no setup. The copilot understands your platform from day one. Just press ⌘K and ask.
Organization Knowledge
Connect Confluence, GitHub, or any internal docs. The copilot answers using your standards, naming conventions, and architecture decisions.
Ready to Transform Your Cloud Operations?
Experience the power of an AI copilot that truly understands your infrastructure. Provision resources in natural language, troubleshoot failures instantly, and manage your cloud estate with confidence.