Tan Gravam

Tan Gravam

Founder & product builder — turning enterprise finance experience into focused AI products.

I build practical AI products for finance, delivery and everyday work — and I write about the systems, decisions and lessons behind them. The short version: deep enterprise experience turned into focused software. I spent 18 years inside large organizations building the systems that run cash, treasury and the financial close; now I turn the problems I kept meeting into small, sharp products.

What I'm building

  • Delivery Sheet — turn vague leadership asks into clear, reviewable delivery decisions before your team commits.
  • Listemizde — discover trustworthy local businesses through real community recommendations, not paid rankings.

Each product carries an honest status — see them all on the products page.

Where the expertise comes from

The edge isn't that I can build apps — plenty of people can. It's the 18 years behind them:

  • SAP Treasury & Cash Management — TRM, One Exposure from Operations, liquidity items, bank statement integration and BCM.
  • Corporate treasury architecture — how ERP, TMS, banks and market data fit together, and which system should own which data.
  • Finance-systems delivery — turning vague demands into clear delivery decisions: intake, scope, UAT, cutover and governance.

How I build

Small, focused products from real operational problems — shipped fast with a solo stack (Nuxt, Supabase) and AI in the workflow, but never letting AI make the product decisions. I build in public and write down what works, what I killed, and why.

Writing

I publish practical, first-hand notes across three areas: finance systems (treasury management systems, SAP treasury, architecture), product & systems delivery, and building AI products. If that's your world, the newsletter sends one practical pattern, decision or build lesson every two weeks.

How this site's content is made

The writing here is expert-led and first-hand — but I'm transparent about the workflow behind it:

  • AI-assisted, human-reviewed. I draft with AI in the loop, but every published page is reviewed by me before it goes live. A review gate keeps anything unreviewed out of the sitemap, topic hubs and search index — draft work stays draft.
  • Sourced where it's technical. SAP and standards-based articles cite verified primary sources (SAP Help, SWIFT, the Basel Committee) and carry an explicit release-scope note, because behaviour differs by version, edition and channel — so verify against the docs for your system.
  • No invented specifics. I don't fabricate client names, first-hand anecdotes or metrics. Where a number is used to illustrate a method, it's labelled as illustrative, not a real figure.

What I write about — and what I don't

I write from first-hand experience in SAP treasury, treasury management systems, cash & liquidity, treasury architecture & connectivity, finance-systems delivery, and building AI products. I don't give personalized investment or financial advice, I don't endorse specific vendors, and I try hard to stay inside what I've actually done rather than dressing up second-hand knowledge as expertise.

Start here

A few of the cornerstones and tools worth reading first:

Elsewhere