Data-Sharing Concerns Slow Sell-Side Limit Automation

Why It Matters

The slowdown in automation preserves costly manual workflows, limiting efficiency and risk mitigation as markets shift toward continuous trading. Accelerating data integration and AI adoption could unlock significant operational savings for banks and brokerages.

Key Takeaways

• Only 46% of sell‑side desks have automated client limits.
• 34% still rely on spreadsheets; 20% use email or chat.
• Cross‑asset limit consolidation invested by just 29% of firms.
• AI deployed in front‑office for half of firms, but limited overall.
• Exchange fire drills disrupt nearly 80% of desks regularly.

Pulse Analysis

Data‑sharing security concerns are a silent roadblock for sell‑side desks seeking to modernize pre‑trade risk limits. When banks involve third‑party vendors, internal compliance teams often restrict the data feed, forcing limit‑management platforms to operate with incomplete information. This friction not only curtails the speed of automation projects but also sustains reliance on legacy tools such as spreadsheets, email, and chat, eroding the potential gains from streamlined workflows.

The Acuiti report highlights that manual processes dominate: 34% of firms still manage limits via spreadsheets and another 20% depend on email or chat. Cross‑asset consolidation—a key efficiency lever—has been adopted by merely 29% of respondents, leaving most institutions with fragmented risk views across equities, futures, and options. Operational silos exacerbate the issue; only 37% of participants say a single employee can review a client’s risk profile and limit change, meaning coordination across multiple desks remains the norm and adds latency to decision‑making.

Artificial intelligence is beginning to surface as a remedy, with just over half of firms experimenting in front‑office production and a quarter eyeing AI to clean up legacy databases, especially around give‑up agreements. However, broader AI integration lags, and routine exchange fire drills continue to disrupt nearly 80% of desks. As markets gravitate toward a 24/7 trading cycle, firms that overcome data‑sharing barriers and embed AI‑driven automation will likely achieve superior risk control and cost efficiencies, positioning themselves ahead of competitors still mired in manual processes.