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Most pages open in under 3 seconds. Larger reconciliations can take a little longer.
Loading your page
Most pages open in under 3 seconds. Larger reconciliations can take a little longer.
Ogbadu combines autonomous AI with the controls finance teams are accountable to, from data ingestion through to a signed, locked close.
Autonomous agents ingest ledgers as transactions post, standardize the data, and propose matches with confidence scores, escalating only the exceptions that need a human.
Run reconciliation when the evidence pool is ready, then work from a focused view of cleared items, questions, and genuine exceptions.
Every match exposes the factors behind its score, including amount, date, description, vendor history, and learned behavior, so reviewers can defend each decision.
Maker-checker workflows, retained audit events, and evidence-bound sign-off help reviewers understand who concluded what and from which inputs.
How it works
Upload exports or connect your bank, GL, and subledger feeds. We standardize everything at ingestion.
AI recommends matches, scores confidence, and surfaces exceptions with plain-English reasons.
Your team works a prioritized inbox, approving, rejecting, or teaching the system as it learns.
Approve through a maker-checker flow, lock the record, and export an audit-ready close package.
Security & trust
Security and governance are not features we bolt on later. They are the foundation every Ogbadu deployment is built on.
Explore Security & TrustFinancial data is protected end to end with industry-standard encryption.
Preparers cannot approve their own work. Accountability is enforced by the platform.
Every action is logged with who and when, producing defensible audit evidence.
Set retention windows with legal-hold exemptions for signed, locked records.