Manual checks across systems bottlenecked the financial close. Now, AI automates ledger entries while analysts manage exceptions.
A multinational technology company with over 270,000 employees and USD 60 billion in annual revenue processes complex financial close cycles globally.
The journal entry process required collecting data from multiple systems and performing extensive manual checks to minimize errors during peak...
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Note — IBM is also the vendor behind this implementation.
Related implementations across industries and use cases
Finance teams managed 1.5M transactions via scattered spreadsheets. Now, AI agents extract data and route journal entries in seconds.
Scattered data forced manual checks on thousands of returns. AI now validates invoices and unifies sources for global compliance.
Manual digging for price spikes slowed 9,000 monthly transactions. Now, an AI agent codes expenses while accountants review edge cases.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Bond selection took days of manual review. Custom AI agents now surface risks, empowering analysts to execute trades in hours.
Routine administrative tasks once tied up human experts for entire days. AI now completes these workflows in just minutes.
Manual checks across systems bottlenecked the financial close. Now, AI automates ledger entries while analysts manage exceptions.
A multinational technology company with over 270,000 employees and USD 60 billion in annual revenue processes complex financial close cycles globally.
The journal entry process required collecting data from multiple systems and performing extensive manual checks to minimize errors during peak...
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Note — IBM is also the vendor behind this implementation.
Related implementations across industries and use cases
Finance teams managed 1.5M transactions via scattered spreadsheets. Now, AI agents extract data and route journal entries in seconds.
Scattered data forced manual checks on thousands of returns. AI now validates invoices and unifies sources for global compliance.
Manual digging for price spikes slowed 9,000 monthly transactions. Now, an AI agent codes expenses while accountants review edge cases.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Bond selection took days of manual review. Custom AI agents now surface risks, empowering analysts to execute trades in hours.
Routine administrative tasks once tied up human experts for entire days. AI now completes these workflows in just minutes.