RBC Capital Markets cuts research turnaround time by 60% with Aiden QuickTakes AI platform
RBC Capital Markets deployed Large Language Models & Generative AI for Document Processing & Automation in Investment & Capital Markets. As reported by www.rbccm.com: Up to 60% turnaround time reduction.
Source-reported figures — cited source: www.rbccm.com
What RBC Capital Markets was trying to fix
Producing a post-earnings research note took analysts upwards of 45 minutes due to a highly manual workflow: sourcing announcements, extracting key figures, writing and formatting notes, then publishing. With dozens of companies to cover, this created a significant bottleneck. In a market where a 30-minute delay can mean missed opportunities, the model was unsustainable.
What RBC Capital Markets deployed
RBC Capital Markets built Aiden QuickTakes, a proprietary AI application on Databricks' unified cloud-native platform. When a company announcement goes live, the system automatically ingests the release, extracts financials, and produces a first-draft research note within minutes. Analysts then refine and add insight before publishing, maintaining human-in-the-loop control throughout. The platform uses Databricks Unity Catalog for governance and Mosaic AI for end-to-end AI capabilities.
Results
QuickTakes reduced research turnaround times by 20–60% based on preliminary results, with the full workflow dropping from 45 minutes to approximately 15 minutes from announcement to publishable draft. The platform reclaimed thousands of analyst hours for higher-value activities and enabled Global Research Analysts to scale company coverage while maintaining quality standards.
Key Takeaways
- Human-in-the-loop design is critical in regulated capital markets: AI accelerates the process but analysts retain full editorial control and expert judgment.
- Enterprise-grade governance (Unity Catalog) is a prerequisite for deploying generative AI in regulated financial environments where trust and transparency are non-negotiable.
- Automating repetitive workflow steps (ingestion, extraction, drafting) unlocks analyst capacity for deeper commentary and client dialogue without sacrificing output quality.
Evidence for RBC Capital Markets's Document Processing & Automation deployment
- Reported outcome metrics
- 3 cited below
- Cited source
- www.rbccm.com
- Last updated
- Source link checked
Explore Related
Details
- Industry
- Investment & Capital Markets
- Use Case
- Document Processing & Automation
- AI Technology
- Large Language Models & Generative AI
- Company Size
- Enterprise
- Company
- RBC Capital Markets
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