AI Role and Competency Mapping Under Mission Karmayogi
Mapping AI competencies to government roles within the Mission Karmayogi competency framework of behaviours, functions and domains.
How Should AI Competencies Be Mapped to Roles Under Mission Karmayogi?
AI competencies fit the existing structure rather than sitting outside it. Behavioural competencies gain critical evaluation and ethical judgement; functional competencies gain applied AI use within the officer's function; domain competencies gain sector-specific AI applications. Each needs proficiency levels and evidence of demonstration.
Key Takeaways
Extend the existing framework rather than creating a parallel one.
Define proficiency levels, not binary trained status.
Evidence of demonstration matters for records.
Domain applications differ sharply across departments.
Practical Framework
Competency Mapping Structure
Behavioural
Critical evaluation, ethical judgement and adaptability.
Functional
Applied AI use within the officer's functional duties.
Domain
Sector-specific AI applications and risk considerations.
Proficiency
Defined levels with demonstrable evidence per level.
What Government Leaders Should Do Next
- Add AI descriptors to existing competency dictionaries.
- Define three proficiency levels per competency.
- Specify evidence acceptable for each level.
- Align learning offerings to the mapped competencies.
Risks and Common Mistakes
- A parallel AI framework nobody maintains.
- Binary trained/untrained records.
- Descriptors too generic to assess.
- No link between learning catalogue and competencies.
What Delay Costs: AI Role Mapping Mission Karmayogi
- Capacity-building plans cannot target real gaps.
- Learning procurement is disconnected from competency needs.
- Progress cannot be reported against the framework.
A competency that cannot be demonstrated cannot be planned for — and a plan built on it is guesswork with a template.
86%
of employers expect AI and information processing to transform their business by 2030
Source: World Economic Forum, Future of Jobs Report 20251%
of executives describe their organisation's AI rollout as mature
Source: McKinsey, Superagency in the Workplace, 202563%
of employers identify skills gaps as a major barrier to business transformation
Source: World Economic Forum, Future of Jobs Report 2025Questions Government Decision-Makers Ask Next
Who Should Own AI Role and Competency Mapping Under Mission Karmayogi?
A senior accountable sponsor should own the outcome, while a cross-functional team covers policy, operations, data, technology, legal, security and capability building.
How Should a Department Start With AI Role and Competency Mapping Under Mission Karmayogi?
Start with a documented baseline, a narrow set of high-value use cases, a representative pilot cohort and clear measures of adoption, quality, time saved and risk.
What Should Be Measured?
Measure competency gain, active adoption, task turnaround, output quality, control compliance and the number of validated use cases moved into normal operations.
Authoritative Sources
IndiaAI — AI Competency Framework for Public Sector Officials
Official national AI capability and competency context.
Capacity Building Commission
Official competency-led public-sector capacity-building guidance.
Ministry of Electronics and Information Technology
Official digital policy, governance and responsible AI context.
Last Reviewed: 15 September 2026
Turn This Guidance Into a Department-Specific Action Plan
Share the intended outcome, current constraints and decision stage. We will help identify the capability, governance and pilot sequence needed before wider implementation.
Translate the framework into your departmental context.
Identify immediate readiness and control gaps.
Outline a proportionate diagnostic or pilot with no obligation.
Capacity Building Units, HR Leaders, ATI Directors