Upakrama
A conversation about work-readiness

A question worth asking

Ai enabled your entry level engineers to produce code and functionality on day one. Has it made them ready for your customers or products?

Not a question about whether freshers are good enough. A question about whether the transition into work is getting the attention it deserves.

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A few more questions

  1. Your freshers can produce output on day one. How long before they can own it — debug it, explain it, defend it?
  2. AI can review the code, but someone still signs off. How much of your senior team's week goes into that?
  3. How effective are the outsourced corporate education with MOOC courses in building technical and behavioural competencies?
  4. Do your assessments show how someone performs when the AI is wrong?
  5. Clients expect AI-speed delivery. Is your team's output keeping pace with its expectations?
  6. If juniors no longer learn through the work, which AI now does, who leads your teams in five years?
  7. How much of your budget is driving the split between a human driven versus a self paced online course
  8. Are your current assessments telling you how someone will perform in a real team?
  9. Even when you have a dedicated L&D, how do you project managing freshers who are gadget distracted, geographically split and differential learning capability?
  10. Could this transition be better — for the fresher, the manager and the business?

Does this sound familiar?.

We want to understand what really happens between campus, onboarding and meaningful contribution in today's workplace.

Let's talk

No pitch. Just a conversation.

You've probably seen this problem up close.

If you're responsible for hiring, delivery, engineering or people development, we'd value 20 minutes to hear how this plays out in your organisation. No presentation. No assumptions. Just an honest conversation.

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or write to upakrama.ai@gmail.com