# Elygent for Financial services Accelerate the business of banking Connect customer, lending and payment data with AI agents that help banks serve relationships, advance credit and complete transactions. Core data: Customer and account histories · Income, credit and collateral records · Payment messages and balances · Product terms and risk policies Help banks lend, grow deposit relationships and move customers’ money reliably. Disconnected customer information slows account opening, credit reviews and payments. Elygent turns that context into agent workflows that advance lending, customer relationships and reliable service. ## AI workflows to transform ### Advance lending decisions Operating pain: Borrower information and credit evidence arrive separately, delaying viable lending opportunities. Agent execution: AI agents interpret borrower documents, summarize credit evidence and route exceptions, preparing complete lending files for authorized review. Accepted output: Decision-ready lending files and documented next steps. Business value: Advance viable lending opportunities with shorter review cycles. Decision owner: Credit officers approve terms and lending decisions. AI capability: Document interpretation and case summarization grounded in lending policy. Implementation limits: Access, data quality, output testing and human authority are qualified during implementation. Research source IDs: fs-origination ### Open and deepen relationships Operating pain: Fragmented customer histories slow account opening and obscure relevant relationship opportunities. Agent execution: AI agents synthesize customer history, personalize banker-reviewed opportunities and coordinate approved onboarding and relationship follow-up. Accepted output: Banker-approved opportunities and completed onboarding handoffs. Business value: Convert customer demand into lasting deposit relationships. Decision owner: Bankers approve recommendations, eligibility and activation. AI capability: Synthesize customer context and personalize banker-reviewed relationship actions. Implementation limits: Access, data quality, output testing and human authority are qualified during implementation. Research source IDs: fs-relationships ### Keep payments moving Operating pain: Payment failures create manual investigations, delayed transactions and avoidable customer service friction. Agent execution: AI agents interpret payment exceptions, propose repairs and coordinate approved actions through confirmed processing status. Accepted output: Resolved exceptions with confirmed processing status. Business value: Protect payment service revenue and strengthen customer trust. Decision owner: Payment owners authorize corrections and fund movements. AI capability: Diagnose payment exceptions and propose repairs within bank operating rules. Implementation limits: Access, data quality, output testing and human authority are qualified during implementation. Research source IDs: fs-payments ## Measure the operating change - Application-to-decision time - Account-opening completion rate - Payment-exception resolution time ## Implementation and transformation Elygent redesigns the workflow, connects the bank’s systems, builds the agents and stays accountable for agreed operating outcomes. ### 1. Simplify the workflow Find the bottleneck. Remove waste and agree the baseline. ### 2. Connect the foundation Make your data, knowledge and systems usable by agents. ### 3. Deploy and enable Build agents, test exceptions and train the people using them. ### 4. Operate and improve Measure completed work, improve throughput and expand what works. Illustrative AI implementation opportunities. Scope, access, controls and acceptance are agreed per engagement; these are not verified Elygent customer results. ## Implementation details From bottleneck to working agents Custom AI agents, team enablement and accelerated delivery turn a redesigned workflow into a working service. The implementation is tested against your systems, controls and acceptance standard. Where we start: Your core data, existing systems and a valuable operating bottleneck. What we implement: An implemented agent workflow, enabled people and measured operating outcomes. ### Simplify the workflow Source records: Current work, policies and baseline. Output: A simpler workflow with agreed success measures. Owner: Process owner and Elygent team. ### Connect the foundation Source records: Approved data, knowledge and system access. Output: Trusted context and qualified system connections. Owner: Data owners and implementation engineers. ### Deploy and enable Source records: Test cases, review paths and working methods. Output: A validated agent workflow and an enabled team. Owner: Elygent engineers and your team. ### Operate and improve Source records: Accepted outputs, turnaround and exceptions. Output: A measured operating service with approved improvements. Owner: Service owner and Elygent team. ### Foundation for execution #### Customer and account histories Qualify ownership, permitted access, quality and business context before connecting. #### Income, credit and collateral records Qualify ownership, permitted access, quality and business context before connecting. #### Payment messages and balances Qualify ownership, permitted access, quality and business context before connecting. #### Product terms and risk policies Qualify ownership, permitted access, quality and business context before connecting. ### Agreed measures Measurement definitions to agree and baseline per engagement; no achieved performance is claimed. #### Application-to-decision time Elapsed time between the agreed start and accepted completion of the workflow. Unit: Time Compare with the baseline while preserving quality and required review. #### Account-opening completion rate Completed account openings divided by eligible in-scope applications, multiplied by 100. Unit: % Compare with the baseline while preserving quality and required review. #### Payment-exception resolution time Elapsed time between the agreed start and accepted completion of the workflow. Unit: Time Compare with the baseline while preserving quality and required review. Elygent OS supports connected knowledge and approved learning behind the workflow. ### Questions about implementation #### Do we need to replace our systems? Start with your existing workflow and qualify the connections. Data and context are prepared around it; system access and supported actions are agreed before deployment. #### How do we know the work improved? Baseline turnaround, completed work and review effort. Test the new workflow, measure accepted output in operation and expand only after the result is validated. ## Research behind the AI use cases Documented AI use cases elsewhere in the industry; these are not Elygent customer results. - fs-origination: [Salesforce — Why Does Originating a Loan or Opening an Account in 2026 Still Feel Like 2006?](https://www.salesforce.com/blog/digital-loan-origination-software/) — Describes connecting customer relationships, lending and deposit applications, document preparation and approval workflows. The narrative example and claimed speed figures are vendor marketing, not verified customer results or Elygent promises; product availability requires qualification. Published: 2026-06-09. Updated: not stated. Evidence: Current vendor description of loan and deposit origination workflows. Accessed 2026-10-05. - fs-payments: [Oracle — Banking Payments](https://www.oracle.com/financial-services/banking/banking-payments/) — Describes payment data, exception queues and embedded AI support for issue identification, repair and corrective actions. This supports the proposed payment-operations pattern, not universal compatibility, autonomous Elygent money movement or a measured deployment result. Published: not stated. Updated: not stated. Evidence: Current documented banking product capabilities. Accessed 2026-10-05. - fs-relationships: [Salesforce — AI-powered retail banking workflows](https://www.salesforce.com/financial-services/banking-software/) — Documents AI account summaries, product personalization and relationship follow-up using unified customer data. These are vendor capabilities, not Elygent results or guaranteed integrations. Published: not stated. Updated: not stated. Evidence: Documented vendor AI capabilities. Accessed 2026-10-05. 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