Every optimization includes engineering-grade remediation, from AI coding agents that generate contextual fixes to Auto-Remediation that executes approved fixes in AWS. Detection without action is just a report. PointFive delivers outcomes.
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Cloud teams identify optimization opportunities, fill dashboards with recommendations, and create backlogs that stall for weeks. By the time engineering picks up a ticket, the environment has changed. The gap between knowing what to fix and actually fixing it is where savings go to die.
No more spreadsheets of recommendations. No more stale tickets. PointFive turns every finding into an actionable, engineering-ready fix that flows through your existing pipeline.
PointFive packages each savings opportunity with full technical context, resource details, current configuration, usage patterns, and projected savings, into a ready-to-execute AI prompt.
AI coding agents generate infrastructure-as-code changes using the full context. Paste the prompt into Cursor or Devin Desktop, or connect directly via MCP Server.
Engineers review the generated Terraform or CloudFormation code and merge through standard CI/CD workflows. Full control, full audit trail, zero drift.
From AI-generated code fixes to workflow automation, PointFive delivers the full remediation stack, so savings move from identified to realized.
Context-aware AI agents that understand your infrastructure, not generic templates. Every finding ships with engineering-ready remediation tailored to your environment.
Remediation flows into your team's natural workflow, not a separate console. Connect to the tools your engineers already use.
Every fix maps to your IaC stack. Changes go through your existing review and deploy pipeline, zero drift, full auditability.
AI generates the fix. Your engineers review, approve, and deploy with full confidence. No black-box automation, full transparency.
No new tools to learn. No context switching. PointFive brings remediation directly into existing engineering workflows: IDEs, ticketing systems, and communication platforms.
Copy a context-rich prompt into any agentic IDE. Each prompt includes resource details, configuration, usage data, and projected savings, everything the AI needs to generate the right fix.
Query cloud and AI costs and optimization opportunities in natural language inside your IDE. PointFive becomes a native data source for AI coding assistants via Model Context Protocol.
Automated ticket creation, assignment, and tracking across Jira, Slack, and ServiceNow. Remediation that moves without manual follow-up or context switching.
Traditional cost optimization ends with a spreadsheet. PointFive delivers validated findings with actionable remediation, so engineering teams ship savings instead of triaging alerts.
New · Available now for AWS customers
Auto-Remediation turns approved opportunities into executed AWS changes. Define the policy once. Before every action, PointFive checks that the opportunity type is supported, the account is in scope, and every required permission is present — if anything is missing, it stops. AWS permissions alone never decide whether an action runs.
Agents Orphaned RDS snapshot cleanupHi! Describe what this agent should do, and I’ll help you wire up the right tools and trigger.
Scan AWS accounts daily for orphaned RDS snapshots. For each eligible opportunity, verify account enrollment and permissions, then route to the designated reviewer via Slack for approval. On approval, delete the snapshot and log the action.
Done. Running daily at 9:00 AM — scans enrolled AWS accounts for orphaned RDS snapshots, verifies permissions, then sends each eligible opportunity to the designated Slack reviewer. Execution only proceeds on approval; every action is logged to the audit trail.
“We already automate things ourselves. We need to understand how your automation fits into our automation framework.”
Chosen from what teams actually follow through on — easy to agree on, hard to find time for.
Enterprise-grade security built into every layer of the remediation pipeline. Your data, your environment, your control.
All fixes are infrastructure-as-code native, ensuring live environments stay in sync with declared configurations. No manual changes, no configuration drift.
Least-privilege model throughout. No credentials are shared or elevated. Your existing security posture and access controls remain fully intact.
All code generation and execution stays within the engineer's secure local environment. Nothing passes through external servers, your code stays yours.
Agentic Remediation is PointFive's AI-powered approach to fixing cloud and AI waste. Instead of just flagging issues, our AI coding agents generate contextual, engineering-ready remediation: Terraform and CloudFormation fixes mapped to your IaC, ready to merge. Every fix includes root-cause analysis, impact assessment, and safe rollback paths. Your engineers review, approve, and deploy with full confidence.
AWS Cost Explorer shows you what you spend. PointFive tells you what you're wasting and how to fix it. Our DeepWaste detection engine identifies architectural inefficiencies, configuration gaps, and utilization patterns that Cost Explorer can't surface, then provides engineering-grade remediation with one-click fixes and IaC integration.
Azure Advisor provides generic recommendations based on Microsoft's default thresholds. PointFive's DeepWaste engine detects waste patterns that Advisor misses entirely, including cross-resource dependencies, architectural inefficiencies, and optimization opportunities across multi-cloud environments. Plus, our agentic remediation automates the fix, not just the finding.
See how PointFive's Agentic Remediation turns identified savings into deployed fixes. Most customers see measurable results quickly.