Optimize efficiency, drive growth, and improve decision-making
April 06th 2026
The Protego Trust Bank sought to align its information security policies and procedures with NIST SP800-53 Revision 5 to ensure regulatory compliance and strengthen its cybersecurity framework.
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Partnering with businesses globally to drive efficiency, innovation, and stronger ROI.
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AI and NLP will increasingly help researchers to search content in accordance with their preferences.
From orchestration to fraud prevention, AI, analytics, and automation powering seamless, secure, and scalable transactions
Payments have moved from a back-office task to a growth engine. Yet today’s payments ecosystem, spanning apps, stores, marketplaces, and social commerce, is more fragmented than ever. Multiple PSPs, networks, and orchestration layers coexist; fraud has become industrialized, and regulatory expectations continue to rise. Customers expect instant, invisible, trusted transactions. CFOs demand higher reliability at lower cost. The upside: turn chaos into competitive advantage with a trusted, next-gen, scalable, customer-first Payments Fabric.
$6M+
Annualized revenue impact through payment mix optimization campaigns
$3.5M
Saved annually through early fraud ring identification
60%
Reduction in OpEx costs by decommissioning 6 legacy clusters
80%
Reduction in detection time for payment downtime events
70%
Cut in manual tracking efforts through an automated alerting BI platform
20%
Increase in scam merchant identification with a multi–LLM–based solution
Auto-builds issuer-specific evidence packs, prioritizes winnable cases, and guides agents to boost win rates and cut AHT.
Uses entity graphs and streaming ML to detect ATOs, bot spikes, and refund scams in real time—reducing fraud leakage.
Sandbox tests rule changes on live and historical data, minimizing false positives without compromising protection.
Converts chats, complaints, and reviews into structured insights to reveal friction in checkout, refunds, and delivery
LLM + vision-based checks flag duplicates, spam, and restricted items—preserving marketplace trust and quality.
Natural-language BI that explains why metrics move—delivering causal insights, not just dashboards.
Real-time command center tracking issuer/BIN trends, identifying leakage, and auto-triggering playbooks to raise approvals.
Straive boosted payment success by 6% and generated $6M revenue using AI-driven payment mix optimization.
Straive improved approval rates by 3% and recovered $4M sales by balancing fraud prevention with smart AI models.
Straive increased checkout conversions by 4% and added $6M GMV through AI-powered payment routing and funnel analytics.
Straive reduced fraud losses by 27% and saved $3.5M annually for an e-commerce client through graph-based AI models that identified collusive fraud rings using relationship analytics and real-time alerts.
Straive boosted scam merchant detection by 20% using an Agentic-AI–powered solution that enriched transaction data, segmented merchants, and validated fraudsters via multi-LLM models.
Straive improved PSR by 6% and generated $5M in incremental revenue through automated rule optimization, hierarchy restructuring, and real-time dashboards tracking PSR impact.
Sr. VP – Analytics & AI
Seasoned data and analytics leader with 15+ years’ experience driving business growth through data strategy, AI innovation, and team excellence
VP – Analytics & AI
Data science leader with deep expertise in banking and payments, driving data-driven strategies, insights, and impactful analytics-led business transformation.
Sr. Director – Analytics & AI
Seasoned Data Analytics leader driving transformation across banking, finance, and payments through AI, data strategy, and analytics-led business innovation.
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