Sensible, trustworthy AI for finance

AI Agents Meet Finance

Clear, practical notes on how autonomous software helps with payments, wallets, and capital. Possibility over hype. Patterns emerging now and the small utilities we can build next.

Agents in Action

Payments

Agents score risk on live transaction streams, catch anomalies early, and pre-assemble dispute evidence. Settlement can happen faster with fewer manual steps and better trails.

Wallets

Guardrails replace reminders: savings floors, spend caps, rebalancing bands. Agents move funds within explicit limits and explain each action in plain language.

Capital

Small, auditable tilts replace big black-box bets. Agents monitor drift, fees, and risk, proposing trades only when cost and constraints allow.

What We Publish

Field Notes

Concise write-ups of behaviours that worked in practice: what we tried, what broke, and the pattern that held.

Mini Demos

Tiny, focused tools that show one idea end-to-end—like a budget guard or payments watcher—with limits and costs documented.

Checks and Costs

Repeatable metrics: precision/recall for flags, latency budgets, and cost per decision—so value is measurable, not inferred.

VKAL Finance — AI Agents Meet Finance