Production AI. Specific numbers. Regulated markets.
Deeplight has deployed AI across UAE banks, Lloyd's market insurers, and international financial institutions. Here are the specifics.
Case studies
Banking
75% reduction in credit analysis duration. 60% faster approvals. $8M expected annual saving.
Challenge: Credit analysts spent ~5 hours per corporate case manually reviewing financial statements, board minutes, and regulatory filings, slowing approval cycles and limiting deal capacity.
Solution: GenAI-driven credit analytics pipeline ingesting structured and unstructured corporate data, producing analyst-ready summaries with traceable evidence.
GenAI corporate credit analytics, GCC bank.
Banking
Cash flow forecasting reduced from 48 hours to near real-time.
Challenge: Cash flow forecasting was a 48-hour manual process built in Excel — limiting treasury responsiveness and intraday liquidity decisions.
Solution: Production AI forecasting model integrated with core banking and transaction systems; near real-time positions surfaced to the treasury desk.
AI treasury management, UAE corporate bank.
Regulatory experience
Deeplight has delivered AI use cases under:
- FSRA (Financial Services Regulatory Authority, Abu Dhabi)
- Lloyd's of London model risk framework
- UAE Insurance Authority requirements
- ADGM (Abu Dhabi Global Market) regulatory environment
- Bermuda market regulatory framework
Our delivery methodology accounts for model risk documentation, external audit requirements, and responsible AI governance from Week 1.