Every transaction, reconciled as it lands.
The agent scans each line the moment it posts, matches it to invoices and receipts, and flags whatever doesn't add up.
NOVA reads every transaction, tokenizes every card and acts on your behalf: reconciling, flagging fraud and closing the books in real time.
Keep scrolling and watch each card pass through NOVA's decision layer.
NOVA does the work. You decide how far it goes, with policies, approvals and a complete audit trail built in from day one.
The agent scans each line the moment it posts, matches it to invoices and receipts, and flags whatever doesn't add up.
Plain-language policies decide what the agent may do alone and what needs a person.
Banks, ERPs, payroll and billing, connected in minutes with read-only access by default.
Who did it, why, and a tamper-evident hash.
Continuous reconciliation turns the close into a review instead of a scramble.
What finance and security teams ask before they hand an agent the keys.
Our finance engineers have run month-end at scale. Bring your messiest workflow.
Book a callIt connects to your bank feeds, card programs and accounting system, then works through every transaction: tokenizing card data, scoring risk, categorizing, matching it to invoices and posting to your ledger. Anything it can't resolve within your policies goes to a person, with the context already attached.
Only within the limits you set. By default every payment needs a human approval. From there you can allow auto-approval below a threshold, for known vendors or for specific categories, and you can change or pause any policy at any time.
No. Card numbers are swapped for vault tokens at the edge, so neither the agents nor your own systems ever handle raw card data. That keeps your compliance scope small.
Bank feeds, ERPs and accounting tools, card issuers, payroll and billing platforms, and the chat tools your team already uses for approvals. Connections are read-only by default, and write access is granted per action.
Every action is logged with its reasoning and can be reversed from the audit trail. Your correction becomes a rule for your workspace, so the same mistake isn't repeated.
No. Your data is used only to run your workspace. It is never used to train shared models.
Most teams connect their first accounts in under an hour, then run the agent in supervised mode through their first close before widening its permissions.
A flat platform fee plus usage based on the number of entities and monthly transaction volume. The sandbox is free, with no card required.