Manual reporting took 10 days per cycle. AI now automates extraction and IFRS checks, cutting drafting to 3 days with 95% accuracy.
A financial technology provider offering a predictive accounting platform to global finance teams facing complex regulatory environments.
Manual processes and fragmented data forced finance teams to spend up to 10 days drafting reports. Staff struggled to review complex documents...
“By partnering with Alibaba Cloud and using Qwen as the backbone of our AI solution, Hamilton has streamlined the integration of intelligent automation into financial workflows. Qwen’s versatility—with multiple models tailored for diverse accounting scenarios—combined with its cost-effectiveness and ease of implementation, enables our team to focus on delivering high-impact use cases. With Qwen, we’re accelerating innovation while reducing complexity, making AI-driven accounting not only possible, but also practical, scalable, and highly efficient.”
Predictive accounting and IFRS compliance engine for financial reporting.
Cloud computing and artificial intelligence platform for global enterprises.
Related implementations across industries and use cases
Ambiguous data forced manual review. Now, a GPT-5 supervisor routes tasks to sub-agents and surfaces assumptions for verification.
Tax pros spent weeks sifting hundreds of sources. AI now synthesizes millions of documents into cited answers in seconds.
Forensic analysis of 85,000 firms required 200 distinct models. AI now automates the logic, flagging fraud without manual checks.
Ambiguous data forced manual review. Now, a GPT-5 supervisor routes tasks to sub-agents and surfaces assumptions for verification.
Standard OCR failed on complex layouts. Vision-language models now automate matching, cutting validation effort by 40%.
Advisors hunted data across five systems. GenAI now builds traceable meeting packs, saving 4,700 hours a year.
35M customers waited in queues for payment updates. Now, a voice agent resolves routine calls instantly, leaving complex issues to humans.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.