Sipla Securities increases transaction volume 15% and cuts credit risk assessment by 290 hours a week.
15%
increase in transaction volume
290 hrs
saved per week on credit risk assessment
Real-time
agentic market monitoring for buy/sell recommendations
The Challenge
Sipla Securities is a stock brokerage operating in the Nepal Stock Exchange, where trades settle differently than in most global markets — traders buy through brokers before payment is made, with settlement due within three days (T+3). That structure means brokers carry real credit exposure on every trade until settlement clears. Sipla's risk team was manually assessing trader creditworthiness and throttling credit limits by hand, a slow process that couldn't keep pace with market activity — and left the firm exposed during the settlement window.
The solution
Vynspire built an AI system that assesses credit risk in real time, automatically identifying high-risk creditors and adjusting their credit limits before exposure could build. In parallel, the system agentically monitors market news and trading activity, surfacing buy and sell recommendations to traders as conditions shift. The result: transaction volume increased 15% as traders acted on faster, better-informed signals, while the risk team's manual assessment workload — 290 hours a week — was eliminated.
