Financial Services​​

Agentic AI for FSI: Solving real problems with immediate impact​​

01
Industry context

Technology is no longer an innovation tool but the backbone of modern financial services​

Legacy systems limit AI use and scalability, with high maintenance costs, and FSI firms demand more flexible digital architectures that support modern integrations.​​​​

The pressure for cost reduction, speed, and productivity turns efficiency into a core requirement, demanding automation for back office, billing, onboarding, and claim operations.​

The increase in digital frauds and sophisticated threats force institutions to invest in advanced authentication and monitoring tools to reduce losses, preserve reliability, and secure operations.​

Open Finance, ESG, and KYC/KYB/AML regulations, besides governance, AI ethics, and ESG 2.0, increase operational complexity. Compliance becomes unavoidable and force institutions to adopt regulatory monitoring mechanisms.​

Embedded finance and the will to expand beyond traditional services demand new distribution and monetization models, and non-financial firms also incorporate financial services, bringing the bank to where the customer is.​​​​​

02
Financial challenges​

On one side, an industry built on legacy systems; on the other, nonstop changes that demand immediate modernization​

The financial services industry depend heavily on legacy systems and outdated execution, and as new paradigms, users, and technologies enter the game, change becomes inevitable.​

Legacy systems limit AI use and scalability, with high maintenance costs, and FSI firms demand more flexible digital architectures that support modern integrations.​​​

The pressure for cost reduction, speed, and productivity turn efficiency into a core requirement, demanding automation for back office, charging, onboarding, and claim operations.​

The increase in digital frauds and sophisticated threats force institutions to invest in advanced authentication and monitoring tools to reduce losses, preserve reliability, and secure operations.​

Open Finance, ESG, and KYC/KYB/AML regulations, besides governance, AI ethics, and ESG 2.0, increase operational complexity, turning compliance unavoidable and forcing institutions to adopt regulatory monitoring mechanisms.​​​

Embedded finance and the will to expand beyond traditional services demand new distribution and monetization models, and non-financial firms also incorporate financial services, bringing the bank where the customer is.​

03
Agentic AI for Financial Services​

One of the most traditional industries now face the need for the most modern technologies as digitization spreads and new demands arise​

AI/R’s Agentic AI approach connects efficiency and governance with new ways of generating value for your company and your customers.​

Legacy Modernization​

Move away from legacy constraints that lead to high infrastructure costs and operational complexity. Unlock new ways to innovate and enhance experiences in the AI era.​​

  • Up to 42% savings by eliminating licensing costs​
  • 60%–100% faster legacy modernization​
  • AI agents to analyze codebases with millions of lines​
  • Redesign of complex legacy workloads into modern, cloud-native architectures​

AI AML Orchestration​

Embed the Anti-Money Laundering (AML) accelerator: detect typologies and have alert prioritization and automated generation of SAR drafts while aligning with BACEN/COAF and FATF guidelines, audit-ready by design.​

  • 90% less time preparing reports​
  • Data ingestion and normalization​
  • Sanctions and PEP screening + KYC/KYB assistant​
  • Risk-based monitoring and typology engine​
  • Analyst workbench and case management​
  • Graph analysis and network detection​
  • Investigation assistant with GenAI and case file builder​

Predictive AI Fraud Detection​

Identify financial fraud in a predictive and real-time manner by combining Machine Learning (ML), behavioral analysis, and end-to-end data and model governance.​

  • Integration with Pix and Open Finance ecosystems​
  • Accurate identification of anomalous patterns​​
  • Reduction of false positives, protecting digital transactions, cards, and transfers before settlement​​
  • Risk mitigation, ensuring regulatory compliance and customer trust without compromising the user experience​​

Onboarding (KYC/KYB)​

Identify financial fraud in a predictive and real-time manner by combining Machine Learning (ML), behavioral analysis, and end-to-end data and model governance.​​

  • Identity validation, document analysis, and checking of public and private databases​
  • Reduction of identity fraud, mule accounts, and fraud during credit or digital account opening​
  • AI applied to biometrics, OCR, and liveness detection​
  • Plug-and-play APIs & SDKs, operational dashboards, and review desk​

Agentic AI Concierge​

Embed an intelligent financial digital assistant based on conversational AI to go beyond traditional chatbots, analyzing data, planning initiatives, and executing tasks on the clients’ behalf.​

  • Personalized recommendations and guiding, with less complexity and increased conversions​
  • Support for renegotiation and investment suggestions, credit, and demand forecasting​​
  • Reduced human call center tickets, freeing teams for more sensitive tasks​​
  • Retrieval augmented generation (RAG) according to knowledge bases and data​​

Dynamic Credit Decisioning​

Analyze, decide, and adjust credit limits autonomously, intelligently, and in real time by combining internal, external, and alternative data and learning from client behavior.​

  • Real-time credit scoring and context-aware decision rules engines​
  • Event-driven triggers and real-time API layer​​
  • Data processing with decisions in milliseconds, supporting onboarding, BNPL, renegotiation, and limit raise​​​
  • Microjourneys and smart UX components, policy, governance, and analyst control layer​

Agentic AI Workflows​

Modernize your operations by eliminating unnecessary steps and embedding AI agents into workflows, optimizing processes and automating what’s left.​

  • AI agents to automate and accelerate tasks, working in collaboration with human teams​
  • AI embedded into legacy workflows to redesign operations​

AI-powered Regulatory Automation Engine​

Monitor regulatory updates, interpret obligations in real time, and transform them into automated workflows and auditable evidence.​

  • Adjustments to rapidly-changing regulations without relying on manual processes and interpretation​
  • Automated, consistent compliance with auditability​
  • Compliance workflows orchestration while ensuring evidence and reports are always up to date​

AI-powered Reconciliation Engine​

Gain real-time visibility and control over financial flows, ensuring every transaction is correctly matched, validated, and posted across all systems.​

  • Data ingestion from any provider or system, normalized into a unified financial schema​​
  • Configurable rule-based and AI-assisted matching to identify discrepancies early​
  • ​Exception workflow orchestration and audit-ready evidence​
  • Less manual work, with financial accuracy ensured end to end​

Smart Agreements​

Embed smart agreements as an intelligent layer over financial contractual processes, translating contractual clauses into programmable logic with automated execution.​

  • Contract automation engine​​​
  • Digital identity and signature integration​
  • ​Event-driven execution​
  • Regulatory and compliance framework​
  • System and API orchestration​
  • Real-time monitoring and analytics​

 

Modernize and optimize your financial services operations for the AI era​

04
Where we are

Ready to meet you where you are and move you forward.​

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