Skip to content

OXYGEN Star

Strategic AI-Augmentation Roadmap

Transform AI Chaos into Competitive Advantage

Screen2

INTRODUCING OXYGEN Star

The Strategic AI-Augmentation Roadmap (STAR) is the industry's first comprehensive AI maturity framework that makes artificial intelligence measurable, fundable, and scalable. Embedded within the OXYGEN platform, STAR transforms scattered AI pilots into a governed productivity engine that delivers measurable ROI while ensuring responsible workforce transition.

Five Levels of Clear Progression

 

LEVELS

 

L1

Manual

Baseline

L2

Assisted

5-20% gains

L3

Augmented

20-80% gains

L4

Orchestrated

80-200% gains

L5

Autonomous

>200% gains

Level 1: Manual

At this level, all processes are fully manual, and there is no AI integration. Organizations show zero adoption or investment in AI, which often results in high error rates. 

Level 2: Assisted

Here, AI provides simple suggestions while humans maintain full control. Investment is low, and task efficiency improves by 10-30%.

Level 3: Augmented

AI starts enhancing predictions and sharing in decision-making. Organizations invest moderately, achieving 20-80% productivity gains.

Level 4: Orchestrated

At this stage, AI handles workflows and processes, while humans oversee teams and intervene when needed. High investment results in 80-200% efficiency gains.

 

Level 5: Autonomous

AI operates independently, continuously self-improving while humans provide oversight and ethical guardrails. Investments are fully optimized, leading to over 200% productivity gains and embedding ethical AI practices. 

Five Gates That Ensure Success

Advancement requires sustaining thresholds across all gates for two quarters, ensuring balanced, auditable growth in larger enterprises. OXYGEN computes a 0-100 STAR Index from gate scores, with simulations prescribing paths (e.g., to compress ramps to 2-3 years via pilots).

 

GATES

 

A

Adoption

Actual usage, not purchases

I

Investment

Tools, training, and Transformation

C

Capability

AI fitness for your tasks

O

Outcomes

Risk-adjusted   Gains

G

Governance

Compliance & Responsible AI

Gate A: Adoption

Adoption measures the percentage of tasks being executed with governed AI. Advancement requires meeting targets appropriate to each maturity level—for example, achieving 50% or more AI-enabled tasks at Level 3. OXYGEN tracks adoption using usage logs per role, team, and country to ensure consistent and measurable integration.

 

Gate I: Investment

Investment evaluates the financial commitment per employee toward AI tools, training, and infrastructure. 

 

Gate C: Capability

Capability assesses the maturity and sophistication of AI tools in use, from basic systems like GROK 4 to advanced or hybrid models approaching AGI. This gate ensures that AI can meaningfully enhance productivity and supports strategic decision-making across roles and locations.

 

Gate O: Outcomes

Outcomes quantify the tangible productivity gains achieved through AI adoption. At Level 3, organizations might see a 45% uplift in efficiency. OXYGEN measures these improvements via analytics, aligning performance gains with strategic workforce objectives.

 

Gate G: Governance

Governance ensures ethical, compliant, and auditable use of AI. It covers adherence to regulations and tracks people-first KPIs, including reskilling and role adaptation. This gate guarantees that AI integration is responsible, sustainable, and aligned with organizational values.

The OXYGEN Star Difference

AI-FTE Metrics

Finally measure AI like you measure people. 1 Robot = 4 human FTEs. Plan capacity with precision.

Risk-Adjusted Outcomes

Automatically detect when AI hurts more than helps. Protect against costly failed implementations.

'Stuck State' Detection

Identify bottlenecks preventing advancement. Get specific prescriptions to unlock progress.

ABOUT US

FREQUENTLY ASKED QUESTIONS

What is the difference between OXYGEN and OXYGEN AI?

While OXYGEN is a proven platform for Strategic Workforce Planning that can implement most SWP use cases, OXYGEN AI takes it a step further by incorporating artificial intelligence and machine learning capabilities. Where before, SWP practitioners defined trends and evolutions, mainly based on historical information and future trends, OXYGEN AI adds advanced data analysis, predictive modeling, new taxonomies, and real-time decision-making. During scenario creation, OXYGEN still serves as a platform that is consistently calculating billions of workforce changes, a thing where AI is still relatively weak.

What does OXYGEN AI contribute to Strategic Workforce Planning?

OXYGEN AI revolutionizes Strategic Workforce Planning by providing data-driven insights that accelerate decision-making processes, enhance efficiency, and improve accuracy. It helps companies transform their workforce towards business goals by predicting the workforce supply and demand, identifying skills gaps, and suggesting optimal staffing levels and transformation programs.

Is OXYGEN AI future-proof?

Yes, OXYGEN AI is built to adapt to the evolving landscape of artificial intelligence and Strategic Workforce Planning. As new technologies and capabilities emerge, the platform will be updated to stay relevant. It is designed with flexibility in mind, so businesses can continue to benefit from it as the AI landscape changes over time. Regular updates and improvements ensure that they remain effective and usable in the years to come.

CONTACT US

WE LOOK FORWARD TO HEARING FROM YOU!

Email
hello@talentod.com
Phone
+32 (0) 472 229 756
 
LinkedIn
TALENT on demand