PROJECT HELIX
Earnings Call
Financial Intelligence Extraction
Schedule
Daily
Intelligence
AI extraction
Extraction Fields
14
Pipeline
7 stages
01
Overview
Monitors the entire tracked company universe for earnings events daily, automatically detecting new transcript releases within hours of publication. Each transcript undergoes 7 parallel extraction passes powered by a multi-model AI strategy, producing 14 structured intelligence fields — revenue, margins, EPS, guidance revisions, strategic initiatives, business problems, competitive mentions, M&A signals, capex changes, workforce shifts, geographic expansion, and management sentiment. A consensus validation layer cross-references extracted data points against multiple sources to ensure accuracy before delivery. Market reaction data — including post-earnings stock price movements and analyst sentiment shifts — is integrated automatically to provide real-time financial context. Results are matched to relevant Managing Directors based on their coverage universe and practice area alignment. The complete intelligence output feeds directly into the BD Radar briefing, replacing hours of manual transcript review per company with structured, pre-formatted insights ready for client conversations.
Next-day transcript processing captures management commentary, guidance revisions, and strategic pivot signals that surface before analyst consensus updates.
02
How It Works
1
Company universe load
Pull the full company list from the intelligence hub, including ticker symbols, identifiers, and Managing Director coverage assignments.
2
Earnings calendar monitoring
Scan for upcoming and recent earnings events across the tracked company universe, detecting new releases automatically.
3
Transcript acquisition
Retrieve full earnings call transcripts when available, including prepared remarks, Q&A sections, and operator commentary.
4
AI-powered intelligence extraction
AI extraction of 14 structured intelligence fields: revenue, margins, EPS, guidance revisions, strategic initiatives, competitive mentions, M&A signals, capex changes, workforce shifts, geographic expansion, management sentiment, and more.
5
Market reaction analysis
Post-earnings stock price movements are captured automatically, providing real-time market context for the financial data extracted.
6
Managing Director matching
Match earnings insights to relevant Managing Directors based on industry coverage, client portfolio, and practice area alignment.
7
Intelligence hub delivery
Write structured earnings data to the intelligence hub for assembly into the BD Radar email briefing.
APIs & Services
EarningCall API
Serper
Claude
Airtable
03
The Manual Alternative
Without this agent, a consultant would need to manually review each earnings transcript and extract intelligence for their coverage universe:
Research TaskManual EffortAutomated
Monitor earnings calendar daily15-30 minutesAutomatic detection
Read full earnings transcript45-90 minutes per company7 parallel AI extractions
Extract financial KPIs20-30 minutesStructured 14-field output
Cross-reference guidance vs. prior quarter30 minutesAutomatic comparison
Check market reaction and analyst sentiment15-20 minutesIntegrated automatically
Write up key takeaways for the team30-45 minutesPre-formatted for BD Radar
Total manual effort per company: 2.5-4 hours. For a portfolio of 50 tracked companies, that is 125-200 hours per earnings season. The Earnings Call agent processes the entire universe automatically, daily.