# Cloud & AI efficiency management | PointFive

Canonical: https://www.pointfive.co/cloud-ai-efficiency

FinOps brings engineering, finance, and business teams together to manage technology spending and its business value. PointFive supports this practice with infrastructure investigation, customer-defined automation, and safe remediation.

# Put infrastructure efficiency into practice.

FinOps brings engineering, finance, and business teams together to manage technology spending and its business value. PointFive supports this practice with infrastructure investigation, customer-defined automation, and safe remediation.

[Book a demo](https://www.pointfive.co/request-demo) [Read the Manifesto](https://www.pointfive.co/blog/cepm-an-evolution-in-cloud-optimization)

Cloud efficiency should not be a periodic task or reactive exercise. Cloud & AI efficiency management empowers engineering teams to continuously embed efficiency into their daily operations.

Alon Arvatz  Co-founder & CEO, PointFive

## Connect cost insight to engineering action.

Effective optimization needs context, ownership, and a path from investigation to implementation.

### Connect engineering and finance

Give teams a shared basis for assessing cost, operational requirements, and the impact of a proposed change.

### Investigate the infrastructure

Examine configuration, architecture, utilization, and workload behavior alongside billing data to understand an opportunity.

### Carry findings into execution

Use the findings to prepare a remediation plan, obtain approval, implement the change, and measure its effect.

## Cloud & AI efficiency management

Cloud & AI efficiency management is the discipline of measuring and improving the efficiency of your cloud and AI footprint. It continuously monitors infrastructure for inefficiencies and streamlines remediation, inspired by the CSPM model that transformed cloud security.

### Complete visibility beyond cost metrics

Understanding not just what you spend, but how efficiently your cloud infrastructure and AI workloads are configured, scaled, and architected.

### Continuous improvement in daily workflows

Making optimization a habit embedded in routine engineering workflows rather than a periodic exercise.

### Context-rich recommendations for engineers

Who owns the resource, what the workload does, why the inefficiency exists, and what a validated fix looks like in infrastructure-as-code form.

### Global scaling across distributed teams

Enabling optimization across regions, accounts, and teams, empowering distributed engineering organizations to maintain efficiency everywhere.

### Strategic alignment: engineering + finance + operations

Bridging the gap between engineering productivity goals, operational reliability objectives, and financial efficiency targets.

## How PointFive supports your FinOps practice

| Need | PointFive workflow |
| --- | --- |
| Investigate opportunities | Combine connected infrastructure data and DeepWaste findings through Brain |
| Understand the next step | Work with Pointer in Chat to investigate a finding |
| Delegate ongoing work | Define automation and remediation with Coworkers |
| Control changes | Authorize the write permissions required for execution and choose how changes are approved |
| Measure results | Assess implemented changes against usage and billing |

- Need Investigate opportunities

PointFive workflow  Combine connected infrastructure data and DeepWaste findings through Brain

- Need Understand the next step

PointFive workflow  Work with Pointer in Chat to investigate a finding

- Need Delegate ongoing work

PointFive workflow  Define automation and remediation with Coworkers

- Need Control changes

PointFive workflow  Authorize the write permissions required for execution and choose how changes are approved

- Need Measure results

PointFive workflow  Assess implemented changes against usage and billing

## Cloud & AI efficiency in practice

Enterprise organizations are already seeing the difference between cost visibility and continuous efficiency management.

500+  Deep detections

3,000+  Automated remediations at Nubank

$300K+  AWS savings at Dolby

## Trusted by engineering teams at Nubank, Elastic, Blackhawk Network, E.ON, and Fanatics.

[Read customer stories](https://www.pointfive.co/case-studies)

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Source: the public page above. Product screenshots and illustrative interfaces are examples, not live customer data.