This functionality is actively evolving. Please check back regularly for updated content.
Continuous bank account reconciliation
Tight automatically pulls account balances on an ongoing basis and validates them against the corresponding General
Ledger balances to detect discrepancies as early as possible. Additionally, once bank statements are available, Tight
programmatically ingests these from the underlying bank integration and parses out the relevant dates, balances, and
individual transactions to automatically perform the monthly reconciliation process per linked bank account. Through
these two types of automated reconciliations, Tight removes the manual labor that is required in legacy accounting
systems to perform monthly bank account reconciliations.
Agentic book closings
Tight Agentic Accountant performs book closings on a recurring basis (monthly, quarterly, and annual) and provides
financial summaries for the closed period. Business owners can review these summaries and subsequently converse with the
agent about their company’s books, including making modifications when needed.
CFO-level trend analysis
Tight Agentic CFO is trained to provide CFO-level trend analysis using the business’s historical financial data.
Business owners receive performant real-time replies on interesting trends across all of their historical data,
including data imported from QBO, Xero, and Wave, beyond the capabilities of most human beings.
Anomaly detection
Tight Agentic Bookkeeper reviews General Ledger balances ongoing to detect anomalous transactions. Tight Agentic
Bookkeeper surfaces these transactions to the end-user along with a proposed modification to clear the anomaly if
necessary. This enables users to keep a close eye on their business without reviewing every single transaction.
Conversational reasoning
When Tight’s categorization engine is unable to categorize a transaction with sufficient confidence, Tight Agentic
Bookkeeper reaches out to the end user with questions about the transaction, e.g., “Did you meet with a client for
this
Starbucks charge?” The end user is able to reason with the agentic accountant via a conversation to categorize and
reconcile the transaction.