700 journal entries per month, each printed for sign-off. Digital workflows and AI reconciliation cut the close from eight days to five.
A publicly traded, billion-dollar luxury performance apparel company managing 40+ legal entities across North America, EMEA, and APAC, with a 50-person finance team consolidating records from subsidiaries across multiple continents.
Finance workflows ran on a legacy ERP with paper-based approvals: journal entries prepared in Excel, routed physically for sign-off, and fixed assets...
“Our success was built on a true partnership between Finance and Technology; transforming manual, fragmented processes into an intelligent, AI-enabled platform that delivers faster insights, stronger controls, and more time for strategic decision-making. Technology enabled the change, but collaboration made it possible.”
Luxury performance outerwear and apparel brand known for extreme-cold parkas.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Canada Goose's Finance automation is part of this use case:
Related implementations across industries and use cases
Processing 20,000-line datasets crashed legacy laptops, derailing workflows. Now, finance staff use Copilot+ PCs to accelerate reporting.
Processing 20,000-line reports crashed legacy PCs. Now, teams build custom AI agents on upgraded devices to automate complex audits.
Senior accountants spent their weeks manipulating Excel to produce journals. Five AI agents now handle that — they review the output.
Processing 20,000-line datasets crashed legacy laptops, derailing workflows. Now, finance staff use Copilot+ PCs to accelerate reporting.
Processing 20,000-line reports crashed legacy PCs. Now, teams build custom AI agents on upgraded devices to automate complex audits.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
Bond selection took days of manual review. Custom AI agents now surface risks, empowering analysts to execute trades in hours.
Hundreds of keys, one invoice line, no owners. Giving each key a name and purpose surfaced a ghost workload and a caching fix within weeks.
700 journal entries per month, each printed for sign-off. Digital workflows and AI reconciliation cut the close from eight days to five.
A publicly traded, billion-dollar luxury performance apparel company managing 40+ legal entities across North America, EMEA, and APAC, with a 50-person finance team consolidating records from subsidiaries across multiple continents.
Finance workflows ran on a legacy ERP with paper-based approvals: journal entries prepared in Excel, routed physically for sign-off, and fixed assets...
“Our success was built on a true partnership between Finance and Technology; transforming manual, fragmented processes into an intelligent, AI-enabled platform that delivers faster insights, stronger controls, and more time for strategic decision-making. Technology enabled the change, but collaboration made it possible.”
Luxury performance outerwear and apparel brand known for extreme-cold parkas.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Canada Goose's Finance automation is part of this use case:
Related implementations across industries and use cases
Processing 20,000-line datasets crashed legacy laptops, derailing workflows. Now, finance staff use Copilot+ PCs to accelerate reporting.
Processing 20,000-line reports crashed legacy PCs. Now, teams build custom AI agents on upgraded devices to automate complex audits.
Senior accountants spent their weeks manipulating Excel to produce journals. Five AI agents now handle that — they review the output.
Processing 20,000-line datasets crashed legacy laptops, derailing workflows. Now, finance staff use Copilot+ PCs to accelerate reporting.
Processing 20,000-line reports crashed legacy PCs. Now, teams build custom AI agents on upgraded devices to automate complex audits.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
Bond selection took days of manual review. Custom AI agents now surface risks, empowering analysts to execute trades in hours.
Hundreds of keys, one invoice line, no owners. Giving each key a name and purpose surfaced a ghost workload and a caching fix within weeks.