If you have operated a trust accounting platform built on InterSystems Caché or IRIS, you know the workflow: navigate a tree of numbered prompts, memorize the paths to the queries you need, and hope the operator before you didn't leave the session in an unexpected state.
These prompt-response systems are not broken. They are precise, fast, and encode decades of institutional operational knowledge. They are also inaccessible to everyone who did not spend years learning the paths.
The false choice
Institutions face what appears to be a binary decision: continue operating terminal workflows that repel new talent, or undertake a multi-year platform migration with enormous cost and risk.
Both options are expensive. The first costs you talent and operational agility. The second costs you years of implementation risk and the very real possibility that the new platform will not replicate the operational nuance your current system has accumulated over decades.
A third path
A natural language interface sits on top of your existing platform — not instead of it. Operators and analysts ask questions in plain English:
- "Show me all accounts with fee schedules modified in the last 90 days."
- "What is the current market value of holdings in the Harrison Family Trust?"
- "List all distributions from the Whitmore Trust in Q4 exceeding $50,000."
The interface translates intent into the queries your platform already knows how to answer. Responses are grounded in actual data, logged for audit, and bounded by the same access controls your platform enforces.
Governance matters more than the model
The technology choice for the language model is less important than the governance architecture around it. Every query must be logged. Every response must cite its data sources. Access controls from the underlying platform must be enforced — not bypassed by a conversational shortcut.
We built our Natural Language Interface because we have spent thirty years inside these prompt trees. We know which queries are safe for broad access, which require elevated permissions, and which should never be automated.
What this is not
This is not a chatbot bolted onto a PDF export. It is not a generic LLM with your data pasted into a prompt. It is a governed interface to the operational system your institution already runs — modernized for the way people actually want to work in 2026.
Request a demo focused on your platform and query patterns.