“We were looking for a robust and centralised platform to manage our internal rating models.”
James Berrecloth
Head of Risk Infrastructure, Santander UK

ACTICO supports the comprehensive commercial risk assessment workflows — from document ingestion and automated financial spreading to internal risk ratings and credit approval workflows — in a single, secure and cloud-native platform.
The ACTICO Credit Risk Platform is a cloud-based software solution for commercial credit risk assessment in banks and financial institutions. It brings together financial spreading, financial statement analysis, internal ratings, external credit risk scorecards, data integration and rule-based credit decisioning workflows — deployable as a targeted solution for a specific process or as a fully integrated platform for end-to-end credit risk assessment.
Agentic AI is embedded directly in the platform and supports key steps across the credit risk workflow — from document intake and financial statement analysis to rating support and credit memo generation. Credit analysts receive analysis-ready outputs while maintaining full control over every step.
The platform is built on a secure, scalable cloud architecture designed for business-critical credit risk processes in modern banking environments. Open APIs and standardized interfaces enable seamless integration into existing banking system landscapes.
Integrated reporting, dashboards and portfolio views provide transparency at both client and portfolio level — forming the foundation for consistent credit risk management across the institution.
“We were looking for a robust and centralised platform to manage our internal rating models.”
James Berrecloth
Head of Risk Infrastructure, Santander UK
Financial institutions face growing pressure to process increasing volumes of data while maintaining rigorous standards of risk management and regulatory compliance.
Agentic AI offers a new way to operate: AI agents can analyze data, coordinate tasks and support complex decision workflows — integrated into the processes where it matters most.
Within credit risk, agents can gather information, extract financial data, generate structured analyses and prepare risk assessments / credit memos for analysts’ review — delivering a more efficient process while keeping final decisions firmly in human hands.
Built natively on Salesforce, the ACTICO Credit Risk Platform delivers enterprise-grade cloud infrastructure with open APIs and standardised interfaces — designed to integrate into existing banking environments and support efficient, governed credit risk processes.
What makes a credit risk platform different from disconnected point solutions?
The Credit Risk Platform covers different core capabilities — financial spreading, credit risk analysis, internal ratings, decision workflows and data integration on one Platform. Depending on the customer’s need, customers can flexible decide to use dedicated modules or all modules offered by the solution.
How flexible can I adjust the Credit Risk Platform to my requirements?
The Credit Risk Platform is designed to be highly flexible and configurable to meet bank-specific requirements. From spreading templates and models to workflows and integrations — all based on no-code, descriptive configuration rather than custom code.
Can I integrate my own bank-internal rating models?
Yes, the integration of bank-internal rating models (e.g. for PD, LGD calculation) is a key capability of the Credit Risk Platform. Internal Rating Models are implemented, managed, version-controlled, tested and deployed using a graphical no-code editor. It is also possible to integrate models hosted on third-party model runtimes.
How does ACTICO support governed and auditable credit risk processes?
ACTICO supports governance and auditability through workflow-enabled model execution, revision-safe data storage, controlled approval workflows and centralised management and versioning of rating and decision logic.
How does Agentic AI support financial spreading?
Agentic AI can handle document-heavy upstream tasks such as extracting, structuring and mapping financial data from complex documents — reducing manual preparation effort and accelerating the path to credit analysis.
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