Each entry is a working tool, rebuilt from scratch on synthetic data so it's fully open to read — organised by the capabilities behind them.
Local, auditable, deterministic tools for sensitive money data — and the judgement of when not to reach for a model.
A local, deterministic desktop app that reconciles a payment run against history and produces a tamper-evident audit report — without ever exposing bank data to an LLM.
A deterministic two-file reconciliation app that handles any recon — vendor, customer, bank — with a header-mapping layer that absorbs mismatched files and remembers the settings.
Financial statements, the IND AS treatment behind them, and the SAP config underneath — done right and made repeatable.
A three-layer engine that turns a trial balance into Schedule III / IND AS statements where every figure cascades from one source of truth.
Turns a raw ledger extract into an Opening → Movement → Closing reconciliation and a cash bridge, with an AI layer that explains every material swing.
Wrote the requirements for the project-system module and found two configurations that would have baked a revenue-recognition error into the system.
Billing logic, contract accounting, AR and collections re-engineered from no-visibility to governed and measurable.
Replaced one tangled ledger with a three-register model that separates invoicing, revenue and receivables — IND AS 115-compliant by design.
Reads an email thread, judges the right escalation level, and drafts the follow-up — with the accounting nuance built in.
Budget control, payables reconciliation, cash and FX — turned into real-time, rule-based systems.
A rule-based budget-request and approval system that auto-clears what's within limits and escalates only the exceptions.
Designed the commercial, tax, customs and ERP treatment for shipping inventory to an overseas warehouse with no sale — and no permanent establishment abroad.
RPA over SAP, document AI, LLM agents and reusable skills that take routine work off the team.
Python that drives the SAP GUI directly to automate high-volume, error-prone tasks — with read-back validation and a full status log.
A pipeline that pulls structured, finance-ready data out of commercial contracts and vendor invoices — text or scanned.
An agentic OS for a finance function — drop a task, and it routes to the right specialist agent, runs the skill, pulls the resources, and produces the deliverable.
Power BI models built as code (TMDL/PBIR) straight off the ERP — no manual clicking, no stale dashboards.
Designing the modern, AI-augmented finance team — the operating model, the roles, the tooling.
Portfolio company, manufacturer, or global capability centre — reach out. Search firms & CFO offices: conversations in confidence, full CV on request.