Perspective
A monthly essay from Amir on finance operations, agentic AI, and what we believe about how the Office of the CFO should be built.
Procurement is happy to finally have a system. But employees can’t use it, nothing is connected, and the work that lands in your Controller’s lap (the GL reconciliation, the JE recreation, the audit explanation) grows. One deployment, more work, not less.
Read essay →Your ERP does the job it was built for — it records the transaction and keeps the ledger. What it was never designed to do is connect procurement, AP, contracts, and the close into one decision. Whether you run NetSuite, SAP, or Microsoft Dynamics, that gap isn't a flaw in the ERP. It's the work Vakari was built to do alongside it.
Read essay →From $100M to $5B in revenue, finance teams spend 40–60% of their hours on work that exists only because the systems are disconnected. Here's what that costs, who pays for it, why it compounds, and what changes when the architecture is right.
Read essay →BlackLine is good at reconciling variances. But every reconciliation and every variance it finds didn't have to exist. Prevention beats reconciliation when the architecture allows it. Now it does.
Coming soonThree-way matching is a 1990s solution to a 1980s problem. The contract is the source of truth; the PO is a copy. When you can validate against the contract directly — and automate the parts that are still manual — the entire AP process changes shape.
Coming soonThey don't want a chatbot that answers questions. They want one that does the work — type what you need, and it's done, end to end. Data-triggered tasks that complete themselves. An autonomous close that's finally within reach. Here's what that takes, and the risks that make the control architecture non-negotiable.
Coming soonBoards are asking CFOs about their AI strategy. The strong answer isn't “that's the vendor's job.” It's that the Office of the CFO is the ideal proving ground for AI — and the CFO should help lead the company's AI agenda, because finance is where AI's value and its discipline both get tested first.
Coming soon
