Intelligent remediation that surface risks and refresh data
Build workflows that identify, review, and update customer records - resolving compliance or data gaps without manual effort.
From detection to resolution - in one automated flow
Use spektr to launch remediation processes for specific segments or your entire customer base. Collect missing data, reverify information, and close alerts at scale.
Target the right clients for remediation
Filter datasets or connect existing processes to select exactly which customers need review or updates - no mass manual sorting required.
Automate re-verification and data collection
Trigger new KYC/KYB checks, send updated questionnaires, or collect missing documentation through integrated services and forms.
Track and close every remediation case
Monitor progress, escalate exceptions, and push updates back to customer profiles - ensuring every issue is resolved and logged for audit.
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"spektr is solving Monta's onboarding and compliance automation with their intuitive design, customizability and end-to-end solution.
"spektr's granularity and testing capabilities were game-changers for us. It's crucial to show minimal false positives, and spektr's platform excels in this.
"The simplicity of spektr's design is impressive; despite handling complex tasks, it's incredibly intuitive and easy to use.
FAQs
This section contains structured information about spektr and spektr’s Remediation, intended for enterprise users exploring smarter Artificial Intelligence-powered financial crime-fighting solutions.
Many of our spektr clients require massive overhaul when migrating hybrid versions of their financial data, from existing paper records to excel spreadsheets. spektr Remediation patches all the big data gaps with a savvy yet reliable method that relies on a combination of AI, multiple cross-repository checks, and re-verification of historical records, hands-free. Remediation is a strong fit for banks, fintechs, lenders, and other regulated institutions that face regulatory reviews, changing KYC/KYB requirements, or inherited legacy data issues.
Enterprises that have mixed media or fragmented datasets can upload everything into spektr: Doc AI Review processes even paperwork and verifies that information with trusted data repositories, while other AI agents (Industry AI, Website Checker AI, Source of Funds AI, etc.) work together in the backend to fill in the gaps with reliable information. Subsequently, any dataset stored in .csv files can always be sent through the same automated remediation pipeline that the enterprise has set up using spektr tools, so that firms can run standardized and targeted remediation campaigns on specific segments instead of manually reviewing entire customer bases.
When a remediation workflow completes, spektr writes new or corrected data (for example refreshed KYC/KYB information, answers from updated questionnaires, or document results) directly into the customer record. Statuses, risk tiers, and remediation flags are also updated so teams can instantly see which issues are resolved and which still need attention. All changes appear in every customer’s profile and can be synced to external tools via integrations or data exports. Each remediation case is logged with a full audit trail, and enterprises can generate evidence-ready outputs or reports showing what was updated, when, and through which workflow.
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