Natural language interface for legacy systems

A natural language interface makes old data accessible through search, summaries, and prepared changes without opening risky direct access.

What this is for

This fits internal systems whose data matters but whose old interface or query language slows many users down.

  • A natural language interface makes legacy data searchable and explainable, while changes only open as reviewed suggestions.

  • appamass connects safe API or database boundaries with React/Vite interfaces and Agent Development Kit (ADK)-based agents so natural language stays convenient without losing rights and audit.

  • The first step should stay read-only: ask a question, find records, explain the result, and only prepare a change.

Make legacy data safely searchable

Old systems often contain important data with poor usability. A language interface should first read, explain, and prepare, not write without control.

What users see

Users ask a question and see matching records, summary, sources, filters, and a prepared change with a review step.

How it works

Query guards, API contracts, schema context, Cloud SQL/PostgreSQL, permission checks, review surface, audit logs, and UI for safe changes connect behind it.

What stays controlled

Read and write permissions, allowed tables, query limits, logs, error cases, and approvals for changes stay controlled.

A first legacy access point

The first step should solve one clear read case and only then prepare controlled changes.

Start read-only search

Users can ask questions and receive safe, bounded results with sources.

Review summaries

Records are explained, grouped, and shown with uncertainty.

Secure changes

Updates are prepared only and require validation, role, and approval.

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