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    ACTICO: Redefining Decision Management and Compliance

    Ajit Shah,Managing Director-APAC, ACTICOAjit Shah, Managing Director-APAC
    Financial institutions have paid nearly 321 billion dollars in penalties in the past decade over regulatory failings, ranging from money laundering to market manipulation. In recent times, the focus on compliance has moved towards a transformational approach with emphasis on risk-based data-driven processes and improved automation in compliance process. ACTICO, which has been on the forefront of decision automation over the last 20 years, steps into this scenario. “We enable financial institutions to simultaneously use human business knowledge and machine learning models to detect and manage compliance risks,” says Ajit Shah, Managing Director of ACTICO. ACTICO supports the financial service industry with its platform for operational decision management and solutions for compliance and credit risk management.

    “As regulations in the compliance space are constantly evolving, our compliance suite provides support for any conceivable scenarios from money laundering prevention, sanctions list screening, fraud detection, transaction monitoring, detection of insider trading and market abuse,” explains Shah. ACTICO’s compliance platform, augmented with the latest advances in AI and machine learning, handles emerging compliance issues like cross-border transaction monitoring, MiFID II suitability, and GDPR guidelines. The company’s compliance suite and its individual modules for fraud detection, monitoring embargo lists, and sanctioning list checking, among others, concentrate their resources on analyzing and investigating risks, an important feature for banks with high transactional volumes.
    Compliance processes can vary greatly among banks, depending on the size of the bank, its business model, the degree of international alignment, and whether it is a centralized or decentralized organization. Keeping these factors in mind, ACTICO integrates flexibly into the bank’s business processes. This is achieved by constructing risk classes by considering characteristics like nationality, domicile, industry, legal form and transaction behavior.

    Our compliance suite supports clients in automating compliance process by providing a structured decision centric rule based approach to tackle problems predictively

    ACTICO’s core technology allows users to graphically model operational decisions, providing financial institutions the flexibility to create, maintain and optimize complex but transparent business models as required. ACTICO’s platform provides various APIs to enable fast, seamless integration into the financial institution’s existing IT landscape to create the end-to-end automation of decisions. The number of transactions to be processed is significantly reduced by using appropriate risk-based software solution, limiting the investigation efforts to relevant cases.

    Shah illustrates how ACTICO’s compliance suite proved beneficial to LGT, the largest private banking and asset management group in the world owned by an entrepreneurial company. The compliance suite used by LGT included money laundering detection, sanctions lists screening, and transaction monitoring, enabling the bank to automatically identify critical transactions with respect to money laundering, potential market abuse and insider trading. When LGT introduced its new motto: Turn regulation into value! a completely revised system process was implemented based on ACTICO’s technology platform. ACTICO aided the client in managing the process centrally, simplifying the consulting process and enhancing customer satisfaction.

    According to Shah, future generations of compliance software will depend more on algorithms to automatically monitor risks and predict compliance behavior and patterns based on artificial intelligence. ACTICO’s solution incorporates artificial intelligence capabilities to provide banks with a dual advantage. The solutions’ structured decision-centric rule-based modeling capabilities tackle problems in a more predictive way and the machine learning capabilities enable the handling of much larger and more complex scenarios based on simulations. “Applications such as centralized business rules management and machine learning becoming more and more essential in not just managing compliance but driving business value,” concludes Shah.
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    ACTICO Info

    Company
    ACTICO

    Headquarters
    .

    Management
    Ajit Shah, Managing Director-APAC and Thomas Cotic, Global CEO, Thomas Knofler, Global Sales Head and Christine Moosherr, Global Services

    Description
    Provides software solutions and technologies for decision management, risk and compliance across the globe

    2018

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