Unlocking AI Value Through ETS
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 driven 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
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.
