Purpose
A demand-driven, modular internship program that builds client-ready, AI-literate talent pipelines aligned with Business Unit (BU) needs.
Guiding Principles
Business-led, ROI-driven
Intake and scope anchored in validated BU demand, not technology silos.
Custom over Standard
Modular format adaptable to BU/client context (duration, tracks, format).
AI-first foundation
Every intern achieves AI literacy; advanced tracks build deeper expertise.
Project-aware by design
Learning experiences and deliverables mirror real client/project needs.
Brand & CSR Impact
Interns act as ambassadors through CSR projects, tech talks and university engagement.
Operational clarity to BUs
Clear governance, decision gates and funding models to ensure efficiency and transparency.
Strategic Objectives
Demand alignment
Translate BU forecasts into capacity plans (headcount, location, timing).
Skill focus
Prioritize key domains — Frontend, Backend, Data/ML, QA Automation, DevOps, Cloud, Big Data.
Define success
Measured through conversion to FTE, client readiness and employer brand reach.
ROI & Success Metrics
Primary KPIs:
FTE conversion
55–70%
Time to billability
≤ 6–8 weeks
Retention
≥ 95% at 12 months
FTE conversion
55–70%
Time to billability
≤ 6–8 weeks
Retention
≥ 95% at 12 months
Secondary KPIs
Employer brand reach
Social media ambassadorship, events, academia partnerships.
Project-visible outcomes
POCs, reusable project capstones.
Innovation outputs
Global contest entries, tech articles.
Employer brand reach
Social media ambassadorship, events, academia partnerships.
Project-visible outcomes
POCs, reusable project capstones.
Innovation outputs
Global contest entries, tech articles.
Data cadence
Live SharePoint with program dashboards.
Live SharePoint with program dashboards.
Governance Decisions
Intake & Skills
Approve demand-driven intake model and skill mix.
Framework & Reporting
Approve budget, KPI framework and reporting cadence.
Intake & Skills
Approve demand-driven intake model and skill mix.
Framework & Reporting
Approve budget, KPI framework and reporting cadence.
Top Risks & Mitigations
| Risk | Mitigation |
|---|---|
| Demand mismatch | Internship participants decided based on firm demands, targeting 55-70% conversion, project interviews in selection flow |
| Low conversion | Raise selection criteria, embed project exposure |
| Mentor overload / cost creep | Fixed mentor allocations, monthly cost reviews, BU co-funding |
| Client data risks | Sandboxed datasets, pre-approved problem/POC templates |