Full-scale projects delivering measurable impact across banking, payments, fintech, and wealth management.
Live at one of the world’s largest payments firm
2x
Growth in product uptake
$100M+
Projected annual value creation
The client needed to drive product uptake across merchant profiles- but generic targeting was producing low engagement and high customer acquisition costs across products.
A transformer-based Next Best Action engine that analyzes sequential merchant interactions and behavioural profiles to surface the right credit product at the right moment. The engine learns continuously from merchant activity to sharpen recommendations over time- enabling product-specific targeting and hyper-personalized decisioning.
Live across three enterprise deployments in financial services and fintech — a proven, IP-backed solution generating recurring impact at scale
20%
Workload reduction for software engineers
60%
Workload reduction for architects and design teams
3 weeks
Time to market
Software development teams were losing time to manual handoffs, tool-switching, and fragmented workflows across the SDLC. Engineers and architects needed AI assistance without being forced to abandon their existing tools and systems.
An AI orchestration layer that connects applications across the full SDLC and deploys dedicated AI agents at each stage. The orchestrator works within existing tools- so developers and architects get the full benefit of AI without changing how they work.
Live across multiple enterprise clients in financial services
$1.2M+
Annual cost savings
2 min
Avg response, down from 20+ minutes
65%
Productivity improvement
High volumes of inbound customer correspondence- letters, emails, and faxes demanded constant manual review, categorization, and routing. The process was time-consuming, inconsistent, and slowing down customer resolution at scale.
An agentic AI platform that consolidates multiple legacy tools into a single intelligent workspace. Customer center associates can now review, classify, and respond to correspondence in one place- with AI categorizing intents, automating request handling, and generating accurate & SOP-based responses.
Deployed at one of the world's largest payments firms
+19.4%
AUPR lift vs best ML model
$30M+
Estimated losses avoided
1 Model
Replacing multiple legacy models
The client was building and managing more than 25 ML based models for marketing, decisioning, fraud, collections and more – each with challenges of performance, iterations, engineering, and need for continuous improvements.
We built an event-based foundation model using account, interactions and transaction data with capability to expand to multiple use cases, replacing independent model creation with use case adaptation on FM.
Live in production at one of the large global payments
80%
Productivity gains across the full SAR cycle
Human-in-the-loop
Control preserved for final regulatory submissions
Compliance analysts were spending significant manual effort on every stage of suspicious activity investigations-from scoping account networks to drafting SAR narratives- creating bottlenecks, inconsistency, and regulatory risk.
An agentic AI workflow that automatically scopes suspicious account networks, detects red flags across typologies, and generates structured SAR narratives ready for investigator review. Human-in-the-loop validation ensures investigators retain full control over final reporting outcomes, keeping humans accountable where it matters most.
Live at one of the largest global payments firm
<10 min
Time to insights, down from 1–3 days
Mean Time To Detect
- Via live fraud signal monitoring
Real-time
Alerting enabling immediate analyst action
Fraud operations teams were relying on manual monitoring across a complex user lifecycle, with detection and root cause analysis taking 1–3 days. By the time issues were identified, the response window had often already closed.
An AI-driven incident management system built on real-time data streams, monitoring 300+ data tables and 100+ fraud checkpoints- spanning logins, signups, payments, deposits, withdrawals, and verifications. The system generates explainable anomaly signals, performs automated root cause analysis, and delivers actionable insights through live dashboards, email alerts, and proactive segment-level notifications.