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.

Maintained by Peter Korpak, Lead EditorHow evidence is checked
Up to 60%Turnaround Time Reduction
45 min → 15 minTime from Announcement to Draft
99%+Accuracy Requirement

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
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