Cloud Cost Optimizer
Analyzes and optimizes cloud spending
Orchestrator Agent
Cloud Cost Optimization & Resource Allocation
ITmedium Risk
Complexity 3/5
Analyze cloud usage, identify waste, recommend rightsizing, and auto-execute cost optimizations
Most enterprises waste 30-40% of cloud spending on unused resources, over-provisioned services, and misaligned pricing models. Without continuous optimization, cloud bills grow unchecked. This agentic workflow analyzes usage patterns across AWS/Azure/GCP accounts, identifies idle resources, detects over-provisioning, recommends rightsizing, suggests better pricing models (reserved instances, spot pricing), and auto-executes low-risk optimizations (tag enforcement, deletion of unused resources). Enterprises implementing AI-driven cloud cost optimization see 25-35% reduction in cloud spending, faster time-to-ROI on cloud investments, and better budget predictability. Technology companies, SaaS vendors, and large enterprises benefit most from cloud cost management.
15-25x
Typical ROI
2-4 weeks
Time to Value
IT
Department
Complexity
Agent Architecture
Agent Architecture
Orchestrator analyzes cloud usage and coordinates cost optimization.
Usage Analyzer
Analyzes cloud resource usage patterns
- •Aggregate bills
- •Analyze patterns
- •Identify trends
Usage Analyzer
Analyzes cloud resource usage patterns
Waste Detector
Identifies wasted and idle resources
- •Find idle resources
- •Detect over-provisioning
- •Calculate waste
Waste Detector
Identifies wasted and idle resources
Optimization Advisor
Recommends cost optimization strategies
- •Suggest rightsizing
- •Recommend pricing
- •Estimate savings
Optimization Advisor
Recommends cost optimization strategies
Orchestrator Pattern Architecture
Workflow Steps
1
Analyze usage
2
Identify waste
3
Detect over-provisioning
4
Recommend rightsizing
5
Suggest pricing models
6
Auto-optimize
Required Dependencies
Key Performance Indicators
Click any KPI to view detailed measurement guidance, formulas, and typical ranges.
Governance Controls
Centralized LoggingVisibility
HIGH
Centralized Logging
Capture all agent interactions (prompts, outputs, data sources accessed) in a central, searchable system
Complexity: medium
Agent RegistryVisibility
HIGH
Agent Registry
Central inventory of all agents with metadata: owner, purpose, data sources, risk level, users
Complexity: low
Automated Policy EnforcementControl
HIGH
Automated Policy Enforcement
Programmatically block prohibited actions (e.g., uploading PII to external models, accessing restricted data)
Complexity: high
Agent Kill SwitchIncident Response
HIGH
Agent Kill Switch
Ability to instantly disable any agent in case of security incident, data leak, or policy violation
Complexity: low
Prompt Injection TestingRisk
Prompt Injection Testing
Regularly test agents for vulnerabilities (jailbreaks, prompt injection, data exfiltration attempts)
Complexity: medium
These controls help ensure secure, compliant, and auditable AI operations. High-priority controls are critical for production deployment.
Identified AI Risks
Hallucinations
Hallucinations
AI generating false or fabricated information presented as fact
Stale Information
Stale Information
AI using outdated data that no longer reflects current reality
Source Attribution
Source Attribution
Inability to verify or cite the original sources of AI-generated information
Unauthorized Data Access
Unauthorized Data Access
Users accessing data or performing actions beyond their permission level
Prompt Injection
Prompt Injection
Malicious manipulation of AI behavior through crafted input prompts
Data Leakage
Data Leakage
Unintentional exposure of sensitive data through model training or outputs
These risks should be mitigated through proper governance controls and operational procedures.
More IT Use Cases
Access Request Approval
Validate identity, check policy, and grant or deny access requests automatically
Learn more
AI Governance & Audit
Monitor AI systems for bias, compliance, data privacy, and regulatory adherence with automated audit trails
Learn more
Intelligent Application Deployment & Release Automation
Orchestrate multi-environment deployments, validate compatibility, coordinate rollbacks, and manage release risks
Learn more
Related AI Tools
Explore assistive AI tools that IT teams use to augment these agentic workflows.
Deploying AI agents in IT? Olakai gives you real-time monitoring, cost tracking, and governance across every agent in your stack.
Schedule a Demo