Use Case · Banking
Screen
Announcements
Interest rate changes, terms adjustments and regulatory announcements from Bloomberg, Reuters and exchange feeds automatically captured, classified, extracted and transferred into the systems. In minutes, not hours.
Why Screen Announcements Are a Lever
Hundreds of announcements per day. Someone must read every single one.
Bloomberg, Reuters, exchange feeds, central banks, issuers: every day hundreds of screen announcements land on the screens of your treasury and back-office teams.
Interest rate changes, terms adjustments, coupon changes, early redemptions, regulatory notices. Every announcement must be read, checked for relevance and the relevant data transferred into the systems.
In practice: a member of staff opens Bloomberg or Reuters, scrolls through the announcements, identifies the relevant ones, copies interest rates, maturities or terms and types them into the core banking system, the treasury system or the securities processing platform. Per announcement: 5-15 minutes. At 50-100 relevant announcements per day: 4-8 hours of pure data transfer.
The risk: A missed rate change means incorrect portfolio valuations. An overlooked call notice means missed deadlines. And with manual transfer, typing errors creep in that are only noticed during reconciliation, by which time they have already caused knock-on costs.
How the Process Changes
Before / After
daily effort for screen announcements
The Solution in Detail
How We Automate Screen Announcements
01
Multi-Feed Capture
The AI agent monitors all relevant feeds in parallel: Bloomberg, Reuters, exchange feeds, central bank announcements, issuer websites. New announcements are captured in real time and placed into a central queue. No announcement is missed.
Bloomberg Terminal API, Reuters Eikon, exchange feeds via FIX/SWIFT. Central bank websites via web scraping. Issuer portals via RPA. De-duplication across all sources.
02
Intelligent Classification & Relevance Screening
Every announcement is automatically classified: rate change, terms adjustment, coupon change, early redemption, regulatory notice, corporate action. Relevance to the bank’s own portfolio automatically checked via ISIN matching.
03
Automatic Data Extraction
From every relevant announcement, the structured data is extracted: new interest rates, maturities, terms, dates, ISINs, issuers. The AI agent understands the context of the announcement, not just individual figures, and maps data to the correct fields.
NLP-based extraction. Context understanding for ambiguous announcements. Validation against existing holdings data. Automatic recognition of corrections and updates to earlier announcements.
04
System Update & Audit Trail
Extracted data is automatically transferred to the target systems: core banking, treasury, securities processing, risk management. Every transfer fully documented: source announcement, extracted data, target system, timestamp. Dashboard for overview and exception handling.
RPA bots for legacy systems, APIs where available. Four-eyes principle configurable for critical changes. Power BI dashboard with daily overview: processed, exceptions, trends.
Results
What Screen Announcement Automation Typically Delivers
95%
classified
0
announcements
0
on transfer
-85%
effort
The greatest lever is not time saved but completeness. A missed rate change causes incorrect portfolio valuations. Automation eliminates this risk.
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Ready?
How many screen announcements does your team read manually every day?
Let us show you in 30 minutes how automatic classification and data extraction can relieve your treasury and back-office team, without risking completeness.
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