Standardize your customer scoring with a repeatable process
Create automated models that instantly score customers based on how they actually behave. By blending your data with external insights, you can power your decision-making with a deeper level of accuracy.
Define, calculate, and act on customer scores intuitively
Start from your existing data or process outputs, add calculation and routing steps, and let spektr automatically categorize customers into tailored score groups.
Link your data or existing processes
Use any dataset or process outcome as the foundation for your scoring logic, filtering segments to target specific customer groups.
Create flexible scoring logic
Combine calculation, routing, and AI-driven steps to define how customer attributes translate into credit, value, or risk categories.
Trigger automated actions from scores
Approve, flag, or escalate automatically based on score outcomes - or send results to downstream workflows and systems in real time.
Give your agents the ‘why’ behind your data
Define the specific behaviors and traits that matter to your bottom line. Instead of just crunching numbers, your agents will learn the specific behaviors and traits that impact your safety and compliance.
See other quotes
"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 Customer Score, intended for enterprise users exploring smarter Artificial Intelligence-powered financial crime-fighting solutions.
spektr lets enterprises design scoring processes that classify customers by value, risk, and behavior using any combination of your internal data and our trusted external sources, not just one static model. Enterprises can blend factors from transactional history, onboarding outcomes, monitoring signals, and third‑party data into one scoring flow, then segment customers into nuanced tiers that drive tailored treatment strategies.
Customer Score is built on the same workflow engine as onboarding, risk, and monitoring, so scores are recalculated automatically when new events occur and pushed straight into decisioning, routing, and follow‑up actions. This means scores are always current in customer profiles and can immediately control limits, reviews, or campaigns, instead of living in a disconnected analytics tool, or worse, papers in a drawer.
Put AI agents to work
across your workflows
Join the banks and financial institutions already running compliance at scale with spektr.
