Intelligent Banking Starts with Trusted Data

Modernize legacy banking platforms, build governed AI-ready data foundations, and deploy agentic workflows across lending, fraud, compliance, and customer operations.

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Trusted by

The Fortune 100

195+ Enterprise deployments

Banking is changing faster than ever

Customer expectations are rising, and AI is reshaping how financial institutions operate. But many banks still rely on fragmented legacy systems that slow innovation and make trusted decision-making difficult.

Challenges We Solve for BFSI

We standardize BFSI AI delivery on one reference architecture, so every engagement is governed from source system to decision.

Modernization & Governance

Legacy Core Modernization

Low-disruption migration of core banking and data platforms to Azure, Databricks, or the cloud, using proven accelerators.

Data Privacy & Consent Intelligence

Personal data discovery, classification, and consent, built on GDPR-aligned lineage and retention rules.

Responsible AI & Agent Governance

A model and agent registry with evaluation, human approval gates, and immutable action logs.

Risk Management

Financial Crime & AML Investigation

Investigation agents built on unified KYC, transaction, device, sanctions, and fraud signals, prioritizing cases with full audit trails.

Credit Risk & Loss Forecasting

CECL-ready loss forecasting and portfolio risk models built on historical performance and macro-driven scenarios.

Regulatory & Compliance Intelligence

Regulatory change mapped to obligations and controls, with governed data lineage behind every compliance answer.

360° Operations

Legacy Core Modernization

Specialist agents coordinating document, identity, bureau, and income checks in parallel, with exceptions routed to human reviewers.

Credit Decisioning & Underwriting

Policy-orchestrated decisioning agents that synthesize documents and data, with exceptions routed for human sign-off.

Insurance Claims Intelligence

Document-heavy claims processing with fraud and leakage triage built into the review workflow.

How We Build It

We standardize BFSI AI delivery on one reference architecture, so every engagement is governed from source system to decision.

Source systems

Core banking, lending, CRM, payments, trading, policy admin, claims, KYC documents, bureaus and watchlists.

Governed data layer

Ingestion, Lakehouse, entity resolution, data quality, lineage, feature and vector stores

Intelligence layer

Anomaly detection, graph models, predictive models, document AI, RAG and LLMs.

Agentic orchestration

Specialist agents, a planner, tool access, and policy constraints, with human approval built in.

Workflow & experience

Case management, analyst workbench, dashboards, APIs, conversational interface.

Trust & governance

IAM, encryption, PII controls, model and agent registry, evaluations, explainability, audit logs, monitoring.

We integrate this architecture with the systems you already run.

Why Leading BFSI Providers Choose Syren

AI Starts with Trusted Data

We build modern data foundations before deploying AI, ensuring every model is reliable, secure, and compliant.

Built Around Modern Data Platforms

From Lakehouse modernization to enterprise governance and AI readiness, we help organizations unlock the full value of their data ecosystem.

We Integrate, Not Replace

We build the intelligence layer around the AML, case management, and core systems you already run, so you get faster outcomes without a system replacement project.

Enterprise Delivery Experience

We deliver complex data engineering, cloud modernization, analytics, and agentic AI programs for Fortune 100 enterprises operating in highly regulated industries.

FAQS

Questions teams ask before they start

We migrate legacy core banking and data systems to Databricks and Azure in months, using accelerators purpose-built for regulated environments. Operations continue running throughout the transition, so there is no multi-year rip-and-replace and no disruption to live banking systems.

We deploy agentic AI for fraud detection, credit risk scoring, KYC/AML screening, and customer engagement. Every workflow runs on a governed, lineage-tracked data foundation, so agents act on accurate data and decisions stay auditable.

Our investigation agents assemble evidence, explain triggers, and summarize money flow across accounts, cutting false positives while catching genuine risk, so analysts spend their time on prioritized cases instead of chasing signals across disconnected systems.
Yes. Specialist agents handle document, identity, bureau, and income checks and route exceptions to your reviewers, with every decision traceable to the checks, sources, and approvals behind it.

Yes. We build CECL-compliant credit risk and loss forecasting models using historical portfolio performance and macro-driven stress scenarios, so risk teams have audit-ready models grounded in real portfolio data.

We build data governance and lineage tracking before deploying any model. This gives compliance and audit teams a traceable record of how data moves and how each AI decision gets made, which is what examiners check first.
We discover and classify personal data across your systems, build lineage from source to use, and orchestrate consent and data-subject request workflows with audit-ready evidence for GDPR and other privacy regulations.

Yes. We operate under ISO 27001:2013 certification and GDPR-aligned practices, and we build audit-ready data lineage and governance frameworks into every engagement from day one.

An AI-ready data foundation is governed, lineage-tracked data that AI models can trust for accurate decisions. We build this foundation first, because agentic AI running on fragmented or ungoverned data produces unreliable fraud, risk, and compliance outcomes.

Ready to Build an AI-Ready Banking Enterprise?

Syren helps financial institutions build trusted data foundations that accelerate innovation.

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