The Structural Weakness in Excel-Based Locate Records
Excel locate records fail for a specific reason: they're updated after the fact by ops staff who are managing execution volume in Bloomberg and DTCC SIS in real time. The result is a locate record that reflects what the team believes happened, not a contemporaneous record of each locate decision at execution. When the SEC requests exception reports under FINRA examination, assembling a defensible response from those spreadsheets takes five days — and the response is only as reliable as the manual entries that constitute it.
Recording Every Locate Decision at Execution
An AI Labor Company agent learns your prime brokerage ops team's Reg SHO locate record workflow from Bloomberg and DTCC SIS interaction patterns. The agent records every locate decision at execution — capturing the security, the locate source, the time, and the approving party — and maintains the compliant audit trail in Snowflake where it's queryable and tamper-evident. When the SEC or FINRA requests a Reg SHO exception report, the agent generates it on demand from the Snowflake record. Five-day assembly cycles become same-day responses. The agent is typically live within five weeks, with 70–90% reduction in exception report preparation time.
The Business Case: Examination Risk Reduction and Ops Efficiency
Reg SHO compliance failures carry meaningful consequences for a broker-dealer: civil monetary penalties, supervisory requirements, and — in repeated violation scenarios — the kind of enforcement actions that affect prime brokerage client relationships. Replacing Excel-based locate records with a contemporaneous Snowflake audit trail removes the gap between execution reality and compliance documentation. The secondary benefit is the return of ops bandwidth currently consumed by exception report assembly — time that prime brokerage compliance staff can apply to proactive locate quality review and threshold list monitoring rather than retrospective documentation.
How does the agent integrate with Bloomberg and DTCC SIS to capture locate decisions in real time?
The agent monitors Bloomberg and DTCC SIS transaction data streams for locate-related events and records each decision as it occurs, using your existing data infrastructure. Integration architecture is scoped during deployment based on your current Bloomberg API and DTCC SIS connectivity.
Can the agent generate exception reports in the format SEC examiners expect under Rule 200/203?
Yes. The agent generates exception reports against the standard SEC examination format, drawing from the Snowflake audit trail. Report scope — date range, security type, exception category — is configurable per examination request.
What happens to the historical Excel locate records once the agent is live?
Historical records remain in place for the retention period required under Rule 17a-4. The agent begins building a contemporaneous Snowflake record from go-live forward. During the first examination cycle post-deployment, the Snowflake record and legacy Excel records may both be relevant depending on the period under review.