If you missed Jeff Willson's session at the XP2 Educational Conference, here's the recap — what Cyberquery does, what's new with AI, and why it's worth a second look even if your credit union already owns it.
XP2 Educational Conference 2026 | Thursday, June 25
Jeff Willson is VP of Channel Sales at Cyberscience, the company behind Cyberquery, a reporting and business intelligence tool that's been paired with Fiserv cores since 1991. Despite the name, Jeff was quick to clarify Cyberquery has nothing to do with cybersecurity, a mix-up he said comes up constantly in the credit union world.
At its core, Cyberquery connects directly to the XP2 database and lets staff build everything from a quick ad hoc lookup to a complex report they'll run repeatedly, without writing SQL. A built-in schematic layer, essentially a data dictionary, maps every XP2 table, column, and join, so users don't need to already know how tables link together to get an answer. It also works both directions with Excel, generating spreadsheets from XP2 data or pulling live XP2 data straight into a spreadsheet's data tab.
Reports can be scheduled for automated delivery in formats like XLSX, PDF, CSV, or HTML, secured by user or role, and built out into charts, scorecards, and interactive dashboards.
The new AI Assistant
The session's centerpiece was Cyberquery's new AI Assistant, currently in beta with a handful of test sites. It lets staff ask questions in plain English and get back either a direct answer or a fully built, ready-to-run query, no coding or reporting background required. The assistant works by combining its knowledge of the Cyberquery language with Fiserv's own XP2 data dictionary, and importantly, it only generates query logic.
"It's trained to help you, but it's not going to use your data to do so." — on how the Cyberquery AI Assistant handles member data
- "Please break these down by loan type"
- "Please replace loan type with product name"
- "Please add the balance for each loan type"
- "Please remove the loan count and make a pie chart"
When Jeff asked broadly about written-off loans, the assistant surfaced an existing "starting point" report already published and validated by Fiserv's library of roughly 85 pre-built Cyberquery reports, giving users a tested foundation instead of a blank page.
An audience member described a real example: a credit union IT director who automated call report prep by writing a Cyberquery query for each report field, scheduling monthly runs, and archiving the output for quarterly filing.
Training and upgrades run through Fiserv, from introductory sessions during install to multi-day advanced classes led by staff with decades of Cyberquery experience. Jeff's takeaway for credit unions already paying for Cyberquery but not using it fully: it's worth the time to see what it can actually do. Want to see the full demo, including the dashboard drill-downs and peer comparison tools? It's all in the recording and transcript above.