Tan Gravam

Tan Gravam

Complex enterprise work, redesigned with AI.

18 years in SAP, finance, treasury and enterprise systems. I redesign the workflows that are slow, manual and exception-heavy — the ones that still have to pass a control review — and publish the whole method here.

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Enterprise AI · Workflow design · Systems architecture · Field-tested in finance & treasury

Enterprise AI TransformationWhere AI actually creates value inside a large organization: choosing the work worth transforming, redesigning it end to end, and measuring what changed.AI Workflow DesignHow to redesign a complex enterprise workflow around AI: what stays deterministic, what AI can judge, where a human decides, and what state the work needs.Enterprise AI SystemsThe architecture behind enterprise AI: how agents fit existing systems, what the control layer owns, and how oversight, data and observability are designed.

Have a workflow that's slow, manual or exception-heavy? See the AI Workflow Redesign Sprint →

What AI transformation actually meansThe difference between adopting a tool, automating a task and redesigning the work.Which workflows are worth redesigning?Eight dimensions that decide it — and the honest answer that it's usually not this one.The anatomy of an AI-native workflowWhat stays deterministic, what AI can judge, and where a human still decides.Teardown: cash forecastingThe method applied to one real workflow, end to end — and what it generalises to.What is a treasury management system?The deep-domain end of the same craft — the systems complex finance work runs on.

The domain the method was learned in — and still the deepest work on this site.

Eleven free, browser-only tools — scorecards, calculators, checklists and maps. Nothing you type leaves your browser, and none of them ask for an email.

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An opportunity scan to find the workflows worth redesigning, a sprint to redesign one end to end, or an architecture review before AI meets your real landscape.

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I don't only write about systems — I build them. Delivery Sheet is the method as software; the other two are experiments outside the enterprise. How they get built is its own band of the writing: Building AI Products.

Delivery SheetActiveTurn vague leadership asks into clear, reviewable delivery decisions — before your team commits.YollardayızActiveLive border-crossing waits for the sıla yolu — which gate, and when, backed by data instead of hearsay.ListemizdeActiveDon't lose the places you trust — found through real community recommendations, not paid rankings. See all products →
The OWASP LLM Top 10 (2026), Read From a Finance SeatAll ten 2026 entries with what changed from 2025 — and which of them a finance or treasury deployment actually meets first.NIST AI RMF: The Functions and Categories, ExplainedAll four functions and 19 categories of the NIST AI Risk Management Framework, with subcategory counts — and which finance controls already cover each one.Read all posts →