Every optimization includes engineering-grade remediation — from AI coding agents that generate contextual fixes to IDE integrations that meet engineers where they work. Detection without action is just a report. PointFive delivers outcomes.
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, Windsurf, or connect via MCP Server for seamless integration.
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 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.
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.
See how PointFive's Agentic Remediation turns identified savings into deployed fixes. Most customers see results in the first week.