Staff reconciled spending line-by-line across scattered systems. Now, they use AI to automate the process and query data in plain English.
A state law enforcement agency managing complex public sector expenditures and widespread vendor contracts.
Financial data was trapped across disparate spreadsheets and legacy systems, preventing real-time visibility into department spending. Staff were...
Statewide law enforcement and public safety agency for the Commonwealth of Virginia.
Provided AI capabilities and data consolidation tools to automate financial reconciliation and predictive spending analysis.
Virginia State Police's Financial analysis is part of this use case:
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Client analytics required SQL queries only engineers could write. Now CSMs pull performance reports in minutes with plain language prompts.
Manual digging for price spikes slowed 9,000 monthly transactions. Now, an AI agent codes expenses while accountants review edge cases.
Manual vendor reviews took days, masking duplicate subscriptions. Now, an AI agent verifies SOC 2 compliance and flags upcoming renewals.
Client analytics required SQL queries only engineers could write. Now CSMs pull performance reports in minutes with plain language prompts.
15 data domains, 20-minute queries, some tables too large to touch. One hackathon later, AI fields half of all queries—customers included.
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Judges spent 1 hour manually drafting routine rulings. Now, a custom AI extracts case data and drafts them in 5 minutes for human review.
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Routine administrative tasks once tied up human experts for entire days. AI now completes these workflows in just minutes.
Staff reconciled spending line-by-line across scattered systems. Now, they use AI to automate the process and query data in plain English.
A state law enforcement agency managing complex public sector expenditures and widespread vendor contracts.
Financial data was trapped across disparate spreadsheets and legacy systems, preventing real-time visibility into department spending. Staff were...
Statewide law enforcement and public safety agency for the Commonwealth of Virginia.
Provided AI capabilities and data consolidation tools to automate financial reconciliation and predictive spending analysis.
Virginia State Police's Financial analysis is part of this use case:
Related implementations across industries and use cases
Client analytics required SQL queries only engineers could write. Now CSMs pull performance reports in minutes with plain language prompts.
Manual digging for price spikes slowed 9,000 monthly transactions. Now, an AI agent codes expenses while accountants review edge cases.
Manual vendor reviews took days, masking duplicate subscriptions. Now, an AI agent verifies SOC 2 compliance and flags upcoming renewals.
Client analytics required SQL queries only engineers could write. Now CSMs pull performance reports in minutes with plain language prompts.
15 data domains, 20-minute queries, some tables too large to touch. One hackathon later, AI fields half of all queries—customers included.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Judges spent 1 hour manually drafting routine rulings. Now, a custom AI extracts case data and drafts them in 5 minutes for human review.
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.