Business Situation
A Singapore-based private bank wanted to become a thought leader in its domestic market. Off-the-shelf vendor reports fell short on quality and could not be tailored for its wealth managers (WMs) to pitch to clients. It needed customized, client-ready research across a far larger universe, delivered faster and more cost-effectively.
SGA Approach
- Human-in-the-loop team: Equity and fixed-income analysts working with GenAI tools on templates co-designed for WMs
- Automated data capture: Table Parser extracted financial tables from filings and presentations into analysis-ready formats
- GenAI first drafts: ASTRA generated company and credit write-ups in the client template; analysts refined them into buy/sell/hold calls
- Earnings and event intelligence: Earnings Transcript Analyzer, News Intelligence and Portfolio Alert Monitor powered updates and event notes
- Quality assurance: 3-layered QC with AI-assisted consistency checks, plus IR outreach to close data gaps
- Publish-ready delivery: Weekly recommendation updates and quarterly refreshes in the client’s style guide, branding and disclaimers
Execution Approach
SGA acted as the bank’s extended research arm, pairing a 20-analyst team with its GenAI research stack across four activities:
- Coverage of 200 global fixed-income and 600 equity securities
- Timebound updates of covered companies for earnings and events
- Quarterly updates for earnings releases
- AI-assisted daily monitoring to flag events to the client
Key Takeaways
- Analyst-led, AI-accelerated: Quality at scale from analysts plus GenAI
- Beyond off-the-shelf: Customized research that outperformed vendor reports
- Elastic capacity: AI-augmented flex team scaled with earnings season
- Risk radar: AI-driven daily tracking helped avoid potential pitfalls