Payment platforms, merchant tools, and financial SaaS products generate massive volumes of transactional data. But most users can't write SQL, don't have time to build reports, and shouldn't need to wait for a data team to answer a straightforward question. The data is already in your platform — it just needs a conversational layer.
Sidenet's AI assistants sit inside your fintech platform and give users a conversational interface to their transaction data. Chargeback trends, risk flags, and custom reports — all through natural language.
Each of these assistants can be built, configured, and shipped using Sidenet — no AI engineering required.
Turns transaction data into insights through natural language queries.
Users get answers from their data without writing SQL or exporting to Excel. Complex patterns are surfaced and explained, not just displayed.
Monitors transactions for anomalies, flags suspicious patterns, and surfaces compliance-relevant data.
Faster risk identification. Proactive compliance. Less manual review. The platform surfaces problems before they become card scheme violations.
Generates custom reports from conversational requests, formatted for different stakeholders.
Reports in seconds, not hours. Finance teams stop being bottlenecked on data requests. Stakeholders get the format they need without custom development.
Embed the Sidenet chat in your fintech product with a single line of code.
Configure analytics, compliance, and reporting agents in Studio. Connect to your transaction database, risk engine, and reporting systems.
Test internally, then ship to your fintech customers with full observability.