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CTO Runtime Governance Dashboard

Overview​

CTO Runtime Governance Dashboard provides organizational managers with an overall operational view of Runtime Governance.

It does not participate in Runtime Investigation.

Instead, it continuously aggregates data generated by Runtime Investigation to help management answer:

  • Is Runtime Investigation getting faster?
  • Are Historical RGAs truly being reused?
  • Is Engineering becoming more efficient?
  • Is Atlas continuously generating ROI?

Dashboard focuses on operational governance, not technical troubleshooting.

Two Dashboard Perspectives

Atlas provides two management perspectives.

Runtime Governance Dashboard

        │
        ├── OEM CTO Dashboard
        │
        └── Sensor Manufacturer CTO Dashboard

Both use the same Runtime Governance Metrics.

But they aggregate different targets.

OEM CTO Dashboard

OEM Dashboard observes Runtime Governance from the robot product perspective.

For example:

Robot Model A

↓

REF Count

↓

Historical RGA Reuse

↓

Investigation Time

↓

Engineering Cost

↓

ROI

CTO can observe:

  • REF count per robot model
  • Runtime Investigation trends
  • Mean Time to Resolution (MTTR)
  • Historical RGA reuse rate
  • Sensor collaboration efficiency
  • Engineering hours saved
  • Investigation ROI

Dashboard helps OEM determine:

Whether Atlas continuously reduces operational maintenance costs.

Sensor Manufacturer CTO Dashboard

Sensor Dashboard observes Runtime Governance from the Sensor product perspective.

For example:

LiDAR Model X

↓

OEM A

OEM B

OEM C

↓

Restaurant

Factory

Warehouse

↓

Sensor REF

↓

FAE Investigation

↓

ROI

CTO can observe:

  • REF count per Sensor model
  • Runtime performance across different OEMs
  • Runtime behavior across different deployment scenarios
  • FAE response time
  • Investigation Lead Time
  • Historical RGA growth
  • Historical RGA reuse rate
  • FAE engineering cost
  • Runtime Improvement ROI

Dashboard helps Sensor Manufacturer determine:

Which Runtime Patterns are most worthy of improvement investment.

Engineering Resource ROI

For robot OEMs and Sensor Manufacturers, the most valuable asset is not logs, nor tools.

It is the core engineering team with product, system, and field experience.

These engineering resources should continuously invest in creating the future, not repeating the past.

Atlas consolidates a large amount of repetitive Runtime Investigation work into continuously running governance infrastructure, enabling the core engineering team to focus on higher-value work.

Engineering Focus​

Core engineering team should invest in:

  • New Product Development
  • New Algorithm Innovation
  • Sensor Validation
  • Product Reliability Improvement
  • Customer Delivery
  • New Runtime Capability

Rather than long-term investment in:

  • Collecting Runtime Logs
  • Manually segmenting Evidence Windows
  • Organizing evidence in different formats
  • Querying historical investigation records
  • Repeatedly executing Investigation Paths
  • Answering already-answered questions

These tasks should be continuously completed by Atlas Runtime Governance.

Tier-based Investigation​

Atlas's goal is not to replace engineers.

Instead, it reduces core engineering team participation in repetitive investigations.

REF

↓

Tier 1
Standardized Intake

↓

Tier 2
Evidence +
Historical Recall

↓

Tier 3
Core Engineering

The vast majority of Investigations can rapidly narrow the investigation scope through:

  • Evidence Pack
  • Historical RGA
  • Investigation Context
  • Sensor Engagement Pack

Only a small number of complex REFs need to escalate to Tier 3.

Engineering Leverage​

As Historical RGA and Assist Vault continuously grow:

  • Tier 1 can handle more standard issues.
  • Tier 2 can complete more Runtime Investigation.
  • Tier 3 participates less in repetitive investigations.

Core engineering team invests more time in:

  • Product development
  • New feature design
  • New algorithm validation
  • New Sensor integration
  • Next-generation product planning

Rather than repeatedly handling issues that have already occurred.

Runtime Governance ROI​

Atlas's ROI comes not only from faster Investigation.

More importantly, it continuously improves engineering resource utilization.

More Historical Knowledge

        ↓

Less Repeated Investigation

        ↓

Less Tier 3 Involvement

        ↓

More Engineering Innovation

        ↓

Higher Product Competitiveness

Atlas is responsible for organizing runtime evidence, consolidating investigation knowledge, and continuously reusing organizational experience.

Engineers are responsible for creating the future.

Atlas is responsible for remembering the past and making the past continuously create value.

Governance Metrics

Dashboard can aggregate:

  • Active REF
  • Closed REF
  • Investigation Lead Time
  • Mean Time to Resolution
  • Historical RGA Growth
  • Historical RGA Reuse
  • Sensor Collaboration Count
  • Assist Vault Contribution
  • Engineering Hours Saved
  • Estimated Cost Reduction

All metrics are sourced from Runtime Governance Repository.

Investigation ROI

Atlas converts Runtime Investigation into quantifiable governance metrics.

For example:

MetricExample
Median Investigation Time↓ 52%
Engineering Hours Saved4,120 Hours
Historical RGA Reuse46%
Repeat Investigation Avoided138 Cases
Estimated Engineering Cost Saved¥2.3M

These metrics help management continuously evaluate the input-output of Runtime Governance.

Data Source

Dashboard does not maintain an independent database.

All metrics are automatically aggregated from:

Atlas Agent
        │
        ▼
Runtime Investigation
        │
        ▼
Historical RGA
        │
        ▼
Assist Vault
        │
        ▼
Governance Metrics

Dashboard only presents governance results.

Customer Requirements

OEM or Sensor Manufacturer does not need to establish an additional Dashboard Database.

After deploying Atlas, the system automatically accumulates:

  • REF Statistics
  • Investigation Metrics
  • Historical RGA Metrics
  • Collaboration Metrics
  • ROI Metrics

Dashboard can directly read these data.

Deployment Options

Dashboard can adopt any presentation method.

For example:

  • Atlas Web Portal
  • Internal BI Platform
  • Power BI
  • Grafana
  • REST API
  • AI Agent

Atlas does not restrict organizations to use specific Dashboard technology.

Design Principles

CTO Dashboard follows these principles:

  • Focus on governance, not troubleshooting
  • Do not store Runtime Dataset
  • Do not participate in Runtime Investigation
  • Automatically aggregate Investigation Metrics
  • Automatically calculate Runtime Governance ROI
  • Support both OEM and Sensor Manufacturer operational perspectives

Summary

CTO Runtime Governance Dashboard provides a unified Runtime Governance operational view for OEM and Sensor Manufacturer.

OEM can continuously track REF, Investigation efficiency, and governance ROI from the robot product perspective; Sensor Manufacturer can observe Runtime behavior across different OEMs and deployment scenarios, FAE investigation efficiency, and product improvement benefits from the sensor product perspective.

Dashboard's goal is not to assist individual investigations, but to continuously quantify the cost reduction and efficiency improvement brought by Runtime Governance, and provide data support for product decisions, engineering resource investment, and long-term operations.

Next Reading

Deployment​

  • OEM Deployment
  • Sensor Factory Deployment
  • Pilot Deployment™
  • Production Deployment™