Credit Controller · Accounts Manager · Branch / Regional Operations · Depot & Logistics · Commercial Manager · AI‑Automated MIS
I've spent twenty years making receivables collectible, operations leaner, and numbers trustworthy — across India, Kenya and Ghana. This is a working map of where that experience lines up hardest with the roles I'm looking at next, built the way I build everything: with evidence, not adjectives.
I'm a finance and commercial professional who has spent two decades inside the machinery of Accounts Receivable, Credit Control, Order-to-Cash, and Commercial Operations — first in India, then across Kenya and Ghana. What I bring isn't theory; it's the muscle memory of closing an aging book, negotiating a supplier down 15–20%, and getting a delivery fleet 15% faster, all in the same career.
Along the way I picked up logistics, procurement, contract management and statutory compliance almost by necessity — the businesses I worked for needed one person who could hold finance and operations together, and I became that person. More recently, I've added something my earlier resumes didn't have: I use AI tools like Claude, Grok and DeepSeek as working partners to turn raw ERP exports into decision-ready MIS, faster than a spreadsheet ever could alone.
What follows is how I see my own fit — role by role, evidence first.
Given how much of my career has involved moving goods, cash and people across borders, it felt right to lay my own path out the same way — as a route, not just a list.
I've scored my own alignment honestly against each role, the way I'd assess a customer's credit risk: on evidence, trend, and track record — not optimism.
This is the role I've quite literally done, full-time, for eight years in Nairobi — not adjacent to it.
I've run both sides of the ledger at once — receivable and payable — and reconciled accounts other people were afraid to touch.
I've been the single point of accountability for finance, credit and logistics across an entire country operation — that's a branch role by any other name.
Credit Control and Logistics reported to me together for seven years — the numbers below are what happens when cash flow and product flow are managed by the same person.
This is the seat I currently sit in — procurement, contracts and vendor strategy for live, large-scale projects.
A role I don't always lead with, but one I've genuinely done — running the full finance function for two countries at once.
The fundamentals of MIS haven't changed. How fast I can produce it has.
For most of my career, MIS meant hours inside Excel — pivot tables, VLOOKUPs, manually rebuilding the same aging report every week. Over the last couple of years I've rebuilt that workflow around AI, and it's changed how quickly I can turn raw ERP data into something a CFO can actually act on.
"I don't ask AI to replace my judgement on the numbers — I ask it to remove the hours I used to spend formatting them."
I now treat tools like Claude, Grok and DeepSeek as reasoning partners for variance narratives, collection strategy options and cost-scenario modelling, and I use lightweight automation platforms to prototype internal tools that used to require a developer's time I didn't have.