Skip to main content

Writing

Notes

Working notes on business analysis, AI delivery and the systems I build. Newest first, in the order I wrote them.

2 entries
Latest8 min readBusiness Analysis

What I learned writing 80+ user stories per sprint on a US state government program

The discipline behind well-scoped requirements at high volume: user stories as contracts, observable acceptance criteria, AS-IS before TO-BE.

Here's why mid-market AI work breaks without it.

What I learned writing 80+ user stories per sprint on a US state government program
Sultan Siddiqui
Sultan Siddiqui
Read the note
Earlier notes
  1. 02

    Why mid-market AI projects fail (and the 3 things that fix it)

    Most AI engagements at 50-500 employee firms stall before they ship. The pattern is consistent, and the fix has nothing to do with the model.

    AI Implementation9 min read

One last thing

If you scrolled this far,
you have a question.

Ask it in an email. One paragraph is plenty, there is no form to fill in, and it reaches me directly — there is nobody else here for it to reach.

What happens next

  1. 01You send one paragraphWhat's manual today, roughly how often it runs, and which systems it touches. That's enough.
  2. 02I reply with what I'd actually doA real first take, not a brochure — including when the honest answer is that you don't need AI for this.
  3. 03We talk, if it's worth talking aboutThirty minutes, on your hours. No pre-call form, no discovery deck, no pitch.

Based in India, working across US, UK and UAE hours. Calls run on your clock, not mine.