On-Demand Compliance Score: 4.35/5.0
On-Demand Knowledge Work | Internal audience
Compliance teams generate daily/weekly exception reports gathering data from 5-8 systems (core banking, trading, payments, AML, market data, counterparty exposure). Each report requires manual data consolidation (4-6 hours), policy threshold checking, breach identification, and narrative write-up. Reports must be complete and accurate for regulatory examination readiness. Current error rate: 8-12% of reports contain missing data or miscalculated breaches. Rework and investigation burn 2-3 hours/report. 20+ reports/month across compliance function.
Data Sources:
Data Classification:
Data Quality Requirements:
Data freshness: intraday or real-time for transaction data (T+0 for end-of-day reports). Completeness: 99%+ of transactions captured from each source system. Accuracy: zero tolerance for missing transactions; policy threshold accuracy ±1%. Historical baseline data required for trend comparison (12 months minimum).
Integration Complexity: Medium , Requires API integration with 4-5 core banking/market systems (core banking, trading, payments clearing). Data transformation needed to map system-specific fields to common report schema. Policy rule engine may require custom development or Policy Technology platform (PolicyTech, Actimize). Cross-system reconciliation required.
| Criterion | Weight | Score (1-5) | Weighted |
|---|---|---|---|
| Time Recaptured | 15% | 5 | 0.75 |
| Error Reduction | 10% | 4 | 0.40 |
| Cost Avoidance | 10% | 4 | 0.40 |
| Strategic Leverage | 5% | 4 | 0.20 |
| Data Availability | 15% | 4 | 0.60 |
| Process Clarity | 15% | 4 | 0.60 |
| Ease of Implementation | 10% | 3 | 0.30 |
| Fallback Available | 10% | 5 | 0.50 |
| Audience (Int/Ext) | 10% | 5 | 0.50 |
| Composite | 100% | 4.35 |
Data sources are well-defined and mostly accessible via API. Process is templated,exception reports follow consistent structure. High volume (20+ reports/month) and clear time savings (4-6 hours per report). Fallback is straightforward: switch to manual extraction. Internal audience. Clear compliance value: fewer errors, faster detection, audit-ready documentation.
Sprint 0 (2 weeks) + 3 build sprints (6 weeks)
Sprint 0: System integration architecture, policy threshold definition, reporting template design, data source access configuration
Build Sprints 1-3: API integration to each source system, data validation logic, threshold application, narrative generation, format/distribution automation, validation testing
From zero to a governed, production agent in 6 weeks.
Sprint Factory Schedule a Briefing