AI Enablement & Productivity

Capability Template Details

AI Enablement & Productivity

Designed for teams that want to improve AI enablement and strengthen how AI is applied across day-to-day business operations. In partnership with Accelerated Innovation.

Ideal For

Organizations, groups, and teams across all functions aiming to accelerate and scale AI adoption, use it more effectively, and boost productivity.

Capabilities by Dimension

21 total capabilities

AI Direction

• AI Usage Clarity

• AI Strategy

• AI Roadmap

AI Technology & Data

• AI Tools & Platforms

• AI Data Access

• AI Workspace Integration

Responsible AI

• AI Ethics

• AI Governance

• AI Security

AI Fluency

• AI Understanding

• AI Prompting

• AI Output Evaluation

AI Value Management

• AI Use Case Discovery

• AI Use Case Prioritization

• AI Impact Measurement

AI-Assisted Routine Task Enablement

• AI-Assisted Task Automation

• AI-Assisted Content Generation

• AI-Assisted Communication

AI-Assisted Insights

• AI-Assisted Ideation

• AI-Assisted Research

• AI-Assisted Data Analysis

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Capability Growth Criteria Example

AI Prompting

Select the option that best describes the extent to which people use effective prompting techniques to better enable the interaction with AI today.

Starting (0)

AI Prompting is not present, or minimally exists; contributors demonstrate little to no awareness or skill
Examples:
1. No prompt training
2. Reliance on SMEs for creation
3. Avoidance of using AI
4. One-line prompts

Developing (1)

Multiple contributors independently use prompting practices at their own discretion, with usage visible in work artifacts
Examples:
1. Personal structured prompts
2. Prompts referenced in emails
3. Prompts referenced in work items
4. Informal sharing of prompts

Emerging (2)

Shared AI Prompting practices are defined and applied to specific scenarios, producing visible, repeatable, and reliable prompting patterns
Examples:
1. Prompt training
2. Published prompt examples
3. Centralized prompts for routine tasks
4. Common prompts referenced in artifacts

Adapting (3)

AI Prompting practices are consistently applied as part of standard workflows and reliably produce desired outcomes reflected in performance metrics
Examples:
1. Onboarding includes centralized prompts
2. Prompt embedding in tools
3. Prompts stored in version control
4. Improved prompt output acceptance rate

Optimizing (4)

AI Prompting practices within standard workflows are intentionally and continuously improved, resulting in consistent gains in performance metrics over time
Examples:
1. Reviews of AI prompts in workflows
2. Role-based prompts
3. Multi-step prompts
4. Improved work item throughput trends

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