AI Prompt Remediation
Copy a context-rich prompt into any agentic IDE. Use available resource details, configuration, usage data, and estimated savings to generate a proposed fix for review.
Finding waste is step one. Fixing it is the whole point.
Generate fixes in your IDE or delegate automation to Coworkers in PointFive OS. Turn infrastructure insights into safe, measurable improvements.
InvestigateGather evidence
ApproveReview the proposed change
MeasureVerify the outcome
Connect investigation to implementation.
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.
Work awaiting implementation
- Dashboard recommendations pile up
- Manual ticket creation and handoffs
- Weeks to months to implement
- Outcomes remain unmeasured until changes are implemented
PointFive
- Proposed fixes for engineering review
- Automated workflow integrations
- Customer-defined automation and approved execution
- Track results after implementing changes
Prompt remediation: from detection to deployed fix.
With prompt remediation, engineers generate and review fixes in their chosen IDE, then execute them through their own environment and deployment workflow.
- 01 / Detect & Package
PointFive brings available resource details, configuration, usage patterns, and estimated savings into a remediation prompt for an AI coding agent.
- 02 / Generate Fix
AI coding agents generate infrastructure-as-code changes using the full context. Paste the prompt into Cursor or Windsurf, or connect directly via MCP Server.
- 03 / Review & Deploy
Engineers review generated code, such as Terraform or CloudFormation changes, and deploy through their own workflow. Review the change against both the codebase and the live environment.
Engineering-grade remediation at every layer.
Generate code for engineering review or delegate automation and execution to Coworkers. Measure the result after implementing a change.
AI Coding Agents
AI coding agents use available infrastructure context to prepare remediation tailored to the finding and your environment.
- Context-rich AI prompts with full resource details
- Ready for Cursor, Windsurf, and MCP-compatible IDEs
- Infrastructure-as-code output matching your stack
- Prompt remediation executes through your own environment and deployment workflow
Built-In Workflows
Remediation flows into your team's natural workflow, not a separate console. Connect to the tools your engineers already use.
- Jira, Slack, and ServiceNow integration
- Automated ticket creation with full context
- Priority-based assignment and routing
- Progress tracking and status updates
Infrastructure-as-Code
For infrastructure managed as code, generate proposed changes for review and deployment through your existing pipeline. Direct execution is a separate workflow; reconcile those changes with your configuration management process.
- Terraform and CloudFormation patches
- Standard CI/CD pipeline compatible
- Version-controlled and auditable
- Permissions-aware, least-privilege model
Human Oversight at Every Step
AI generates the fix. Your engineers review, approve, and deploy with full confidence. No black-box automation, full transparency.
- Investigate the cause of a finding
- Impact assessment before any change
- Review recovery requirements before execution
- Review execution records and outcomes
Meet engineers where they already work.
No new tools to learn. No context switching. PointFive brings remediation directly into existing engineering workflows: IDEs, ticketing systems, and communication platforms.
MCP Server
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.
Workflow Automation
Automated ticket creation, assignment, and tracking across Jira, Slack, and ServiceNow. Remediation that moves without manual follow-up or context switching.
From a finding to a reviewed change.
PointFive brings investigation, remediation planning, and approved execution into engineering workflows. Review the evidence, implement the change, and measure its effect.
PointFive executes the fix. You approve it first.
Put AI agents to work across your connected environment. Give Coworkers context and tools to safely automate the work your team defines. Automatic remediation runs on PointFive infrastructure and executes approved changes using customer-authorized write permissions. Define the scope of the work, review the plan, and approve infrastructure changes before execution.
Automation with Coworkers in PointFive OS
We already automate things ourselves. We need to understand how your automation fits into our automation framework.
Governance, not a bypass
Define the automation
- Describe the work and the environment it applies to
- Provide the context and tools the AI agent needs
- Authorize write access for actions that change infrastructure
- Review the plan and approve changes before execution
- Verify the outcome against usage and billing
Build around your operational needs
Coworkers support automation beyond a fixed catalog of remediation types. Define work around the problem you need to address and the access your organization authorizes.
- Investigate findings and prepare remediation plans
- Automate recurring operational processes
- Execute approved changes with customer-authorized write access
- Report on progress and measure outcomes
Remediate with confidence.
Enterprise-grade security built into every layer of the remediation pipeline. Your data, your environment, your control.
Fit your deployment workflow
Review generated code through your deployment pipeline. For direct execution, account for the change in your infrastructure configuration and verify the resulting state.
Permissions-Aware
Discovery uses read-only access. Automated remediation requires customer-authorized permissions and approval before infrastructure changes are executed.
Two Execution Workflows
With prompt remediation, engineers generate and review fixes in their chosen IDE, then execute them through their own environment and deployment workflow. Automatic remediation runs on PointFive infrastructure and executes approved changes using customer-authorized write permissions.
Frequently asked questions
AWS Cost Explorer provides AWS cost and usage analysis, EC2 rightsizing recommendations, and commitment recommendations. PointFive OS combines infrastructure investigation across connected environments with customer-defined automation and approved remediation through Coworkers.
Azure Advisor provides recommendations for Azure resources and Quick Fix remediation for specific recommendations. PointFive OS combines investigation across connected cloud and data environments with customer-defined automation and approved remediation through Coworkers.
Agentic Remediation is PointFive's AI-powered approach to fixing cloud and AI waste. Put AI agents to work across your connected environment. Give Coworkers context and tools to safely automate the work your team defines. With prompt remediation, engineers generate and review fixes in their chosen IDE, then execute them through their own environment and deployment workflow. Automatic remediation runs on PointFive infrastructure and executes approved changes using customer-authorized write permissions.