Traditional Workflow:
In a traditional financial institution, the compliance manager manually compiles a DORA compliance report by documenting the institution's operational resilience measures, including IT risk management, incident reporting, and business continuity plans. The institution's information and the rationale behind the DORA compliance conclusions are recorded.
In a traditional setting, compliance managers spend significant time manually compiling DORA compliance reports, which includes documenting operational resilience efforts like IT risk management, incident tracking, and business continuity planning. They detail the verification process, including the assessments performed and any potential vulnerabilities identified. This manual process is resource-intensive, prone to human error, and often requires expensive external help
Workflow with Unique FinanceGPT:
Using Unique FinanceGPT, financial institutions can automate and streamline DORA compliance by transforming a traditionally manual process into a fast, reliable solution. Compliance officers simply connect relevant operational data, and FinanceGPT handles contract formatting, checklist creation, and detailed contract review against DORA standards. This automation reduces costs, minimizes reliance on internal and external resources, and ensures consistent compliance with up-to-date regulatory requirements. With continuous monitoring and automated re-evaluation of contracts, FinanceGPT enables efficient adjustments, streamlined reporting, and aligned communication across departments, helping institutions maintain high operational resilience and regulatory adherence effortlessly.
Impact:
Unique FinanceGPT enhances efficiency and accuracy in DORA protocol generation and saves up to 1-2 hours per case.
By automating tasks such as contract formatting, checklist creation, and contract review, DORA Assistant frees up internal resources, allowing employees to focus on higher-value activities and minimizing reliance on costly external consultants.
Pricing
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