Unlocking AI Value Through ETS
ETS can be your single source of truth for balance sheet operations — and the foundation for trustworthy AI
AI Doesn't Start with Models — It Starts with Your Data Platform
In financial services, successful AI adoption isn’t about building the smartest model — it’s about having clean, complete, and connected data from front to back.
That’s where ETS comes in. As a platform that spans trade capture, valuation, workflow, compliance, and accounting, ETS provides the operational foundation for trustworthy, high-impact AI initiatives.
The Real Barriers to AI in Finance
AI struggles when:
- Data is fragmented across spreadsheets, legacy tools, and silos
- Compliance processes aren’t connected to operational activity
- Models lack lineage, auditability, or data consistency
- There’s no API or integration layer to connect AI tools to production data
ETS solves all of these — without needing to embed AI into the app itself.
How ETS Prepares You for AI
- Clean, Structured Data Across the Trade Lifecycle
ETS turns daily operational processes into machine-ready data — from trade execution to general ledger entries. - Workflow + Compliance Context
AI initiatives fail without process context. ETS captures approvals, overrides, exceptions, and compliance checkpoints — critical inputs for trustworthy automation and risk analysis. - Full API Access
ETS exposes all key functionality and data objects through a robust API, making it easy to:
- Feed data into ML pipelines
- Integrate with Snowflake, Databricks, or Lakehouse architectures - Audit Trails & Control Points
Data is only useful if it’s explainable. ETS provides transaction-level lineage, embedded controls, and logs for every step of your operational process — powering AI models that regulators and stakeholders can trust.
Your AI Strategy, Built on ETS
By unifying data, compliance, and controls across the balance sheet, ETS ensures AI outputs are explainable, auditable, and regulator-ready. With ETS in place, your firm is ready to:
- Train LLMs or ML models using real-time, structured operational data
- Automate compliance monitoring using policy and exception data from ETS
- Run model diagnostics and validations with historical trade + accounting detail
- Power AI-based disclosure reporting, fair value reviews, or internal audit tooling
- Centralize all input/output via the ETS API layer for seamless integration
Works with Your Existing AI Stack
ETS connects easily to:
- Cloud ML Platforms: AWS SageMaker, Azure ML, Google Vertex AI
- Data Platforms: Snowflake, Databricks, Redshift
- Modeling Tools: Python, R, HuggingFace, LangChain
- BI & Reporting: Tableau, Power BI, ThoughtSpot
Let’s Architect Your AI-Ready Platform
If you're planning to adopt or scale AI, don’t start with the model — start with the platform. ETS gives you a production-ready operational backbone that feeds your AI future.
Contact Us to Explore Your AI Journey.
