Finance officers fielding policy questions like a search engine—answers took days. An AI agent cut response time to 30 seconds.
A Canadian federal agency where Finance Officers served as the primary resource for all employee travel policy questions, fielding routine inquiries alongside their core strategic financial work, with no budget for additional headcount.
Finance experts were acting as a search engine for policies, their strategic work constantly interrupted by questions that took clients days, or...
“The AI agent has moved the needle by significantly reducing the phenomenon where different analysts develop their own interpretations of the same rule. By providing a single, authoritative source of truth, we have seen a marked increase in the accuracy of travel claims before they even reach the finance desk. This right-the-first-time approach reduces the costly cycle of reworks, which is where the true fiscal savings are realized.”
Federal agency safeguarding merit-based hiring in the Canadian public service.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Public Service Commission of Canada's Travel policy answers is part of this use case:
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Engineers sifted through thousands of pages of municipal PDFs. Now, an AI agent instantly surfaces local codes with direct citations.
Advisors lost hours drafting emails and summarizing notes. AI agents now handle routine prep, freeing humans to advise members.
Writing a single proposal took two months. GenAI agents now digest 85 data sets to draft compliant narratives in just two days.
Underwriters searched hundreds of pages of criteria; HR fielded policy questions employees could self-serve. Agents now handle both.
Answers scattered across hundreds of SharePoint docs drove repetitive support tickets. An air-gapped AI now surfaces them in seconds.
Task-by-task, manual mapping couldn't keep pace with national recovery targets. AI now maps peatlands and tracks restoration across England.
600+ daily calls, 30-min waits, 70% abandoned. CORA now resolves half autonomously—staff handle what only humans can.
90% of invoices had exceptions; AP analysts corrected them line by line. An agent now resolves mismatches before they reach finance.
Bond selection took days of manual review. Custom AI agents now surface risks, empowering analysts to execute trades in hours.
Finance officers fielding policy questions like a search engine—answers took days. An AI agent cut response time to 30 seconds.
A Canadian federal agency where Finance Officers served as the primary resource for all employee travel policy questions, fielding routine inquiries alongside their core strategic financial work, with no budget for additional headcount.
Finance experts were acting as a search engine for policies, their strategic work constantly interrupted by questions that took clients days, or...
“The AI agent has moved the needle by significantly reducing the phenomenon where different analysts develop their own interpretations of the same rule. By providing a single, authoritative source of truth, we have seen a marked increase in the accuracy of travel claims before they even reach the finance desk. This right-the-first-time approach reduces the costly cycle of reworks, which is where the true fiscal savings are realized.”
Federal agency safeguarding merit-based hiring in the Canadian public service.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Public Service Commission of Canada's Travel policy answers is part of this use case:
Related implementations across industries and use cases
Engineers sifted through thousands of pages of municipal PDFs. Now, an AI agent instantly surfaces local codes with direct citations.
Advisors lost hours drafting emails and summarizing notes. AI agents now handle routine prep, freeing humans to advise members.
Writing a single proposal took two months. GenAI agents now digest 85 data sets to draft compliant narratives in just two days.
Underwriters searched hundreds of pages of criteria; HR fielded policy questions employees could self-serve. Agents now handle both.
Answers scattered across hundreds of SharePoint docs drove repetitive support tickets. An air-gapped AI now surfaces them in seconds.
Task-by-task, manual mapping couldn't keep pace with national recovery targets. AI now maps peatlands and tracks restoration across England.
600+ daily calls, 30-min waits, 70% abandoned. CORA now resolves half autonomously—staff handle what only humans can.
90% of invoices had exceptions; AP analysts corrected them line by line. An agent now resolves mismatches before they reach finance.
Bond selection took days of manual review. Custom AI agents now surface risks, empowering analysts to execute trades in hours.