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Corning Credit Union adds self-service search to member data

Jul. 14, 2026
By AI, Created 14:23 UTC, Jul 14, 2026, AGP -

Corning Credit Union has connected its core banking data to Tursio, letting staff ask plain-language questions and get answers without waiting weeks for a data request. The rollout is aimed at speeding marketing, support and operations work while keeping member data inside the credit union's security boundary.

Why it matters: - Corning Credit Union can now replace weeks-long data requests with self-service search. - Staff can query member data in plain language instead of waiting for a ticket, sprint slot or data-team handoff. - The change is meant to speed decisions in marketing, support and operations. - The deployment keeps data inside the credit union's own environment, which was the main privacy requirement behind the search for a tool like this.

What happened: - Corning Credit Union connected its core banking data to Tursio, a structured data search platform. - The rollout lets staff ask questions about member data without writing SQL or submitting a request to the data team. - The credit union used the system to support ad hoc analysis and data pulls. - Corning and Tursio were featured together in coverage of Fintech Meetup 2026.

The details: - Before Tursio, routine data requests went through an intake committee and then waited for an opening in the next sprint or the backlog. - Tom Foster, Corning Credit Union's VP of Product, Project Management and Data Analytics, said non-urgent requests took two to three weeks. - Foster said many requests mattered less by the time the data arrived, and some questions never got asked. - Corning uses Jack Henry's Symitar as its core system. - Symitar tracks records by account, not by person, so one member can appear under several name records with small differences. - Corning had already built an internal householding process for a Salesforce rollout that rolls accounts up under the member they belong to. - That householding work helped Tursio answer questions about members directly instead of working through account-level joins first. - Corning connected Tursio to data cubes from its on-premises warehouse and its Salesforce Data360 environment. - Those cubes combine Symitar records with data from digital banking and other internal systems. - Foster said Corning already used similar cubes for reporting through SSRS, Tableau and Salesforce. - Corning wanted Tursio to use the same consolidated source rather than build a separate pipeline. - Product managers are using Tursio to size member segments for marketing offers. - Support staff are using Tursio for operational checks, including finding members about to turn 18 and flagging account combinations that should not exist. - Branch leadership access is next, so managers can spot member relationships that need attention without filing a request first. - Corning plans to add trending member data and transaction-level data over the next year. - The full Corning Credit Union case study is available at the company's announcement.

Between the lines: - Corning's rollout strategy is deliberately slow. - Foster said the team only gets one chance to make a first impression, and trust in the answers matters as much as speed. - Corning trained the model on what it knows and does not know before expanding access. - The privacy-first setup reflects a broader barrier for credit unions adopting AI tools for member data: fear of exposing sensitive information. - Alekh Jindal, CEO and co-founder of Tursio, said the platform brings AI to the data inside the credit union's security boundary instead of moving data outside it. - Corning's member-based data organization made the connection straightforward, Jindal said.

What's next: - Corning plans to expand Tursio beyond ad hoc analysis and data pulls. - Fraud detection is among the next operational use cases planned. - The credit union expects to add trending member data and transaction-level data during the next year. - Foster advises other credit union leaders to be explicit about what the tool can and cannot do before wider rollout.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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