AI-Powered Categorization
Every transaction is categorized on import using the client’s own history, your firm’s rules and an AI pass for the rest.
Zerqis handles the routine parts of month-end close from import to sign-off, and puts the parts that need judgement in front of the right person.
Six things every close needs, built to work together rather than as separate tools.
Every transaction is categorized on import using the client’s own history, your firm’s rules and an AI pass for the rest.
Duplicates, high-value items, missing information and low-confidence guesses are separated from the work that is already done.
Raise a question against a transaction, track what is outstanding, and see which closes are blocked waiting on a reply.
Reviewers see what changed and why, with the evidence behind each suggestion, instead of re-reading the whole month.
A per-entity checklist shows exactly what is blocking a close — unworked exceptions, open questions, pending review.
Close time against your manual baseline, exceptions handled, capacity recovered — measured per entity and per period.
How a month runs
Zerqis categorizes what it can confidently categorize and raises the rest. Your team works a queue of genuine exceptions instead of scrolling a ledger looking for problems.

The unglamorous parts that decide whether a close actually finishes on time.
Bring in bank and ledger activity as CSV. Imports are keyed so re-running a file updates rather than duplicates.
When a reviewer corrects a categorization, Zerqis offers to remember it as a rule for that client and applies it next month.
Clients, entities and close periods are first-class, so a firm running dozens of closes sees them in one queue.
See how Zerqis can help your accounting team reduce repetitive work and focus on what matters.