AI Agents for Banking & Financial Services
Automate Complex Banking Workflows. Strengthen Compliance. Elevate Customer Experience
Purpose-Built AI Agents for Financial Services
SmartBots combines deep BFSI domain knowledge with enterprise-grade GenAI to automate high-impact workflows across banking, insurance, and financial operations
Compliance-First AI
AI agents designed for the realities of regulated financial environments. SmartBots embeds auditability, traceability, and policy enforcement into every workflow. Every action taken by an agent is transparent, explainable, and aligned with banking compliance requirements
Deep Integrations with Core Banking Systems
Our pre-built connectors integrate directly with the systems banks rely on every day—core banking platforms, payment rails, reconciliation engines, and CRMs. This allows SmartBots agents to go beyond answering questions and actually execute operational tasks securely
Bank-Specific Knowledge Lexicon
Every institution has its own products, policies, and internal terminology. SmartBots builds enterprise knowledge graphs and financial lexicons tailored to your institution, ensuring agents understand your processes, product rules, and regulatory context
Which agents do YOU need? OR Our Agent Arsenal
We specialize in identifying opportunities and bottlenecks in your organization and designing Gen AI solutions to battle them
Databricks Agent Accelerator
Our Databricks Agent Accelerator provides a production-ready framework with pre-built connectors, agent scaffolding, and enterprise-grade deployment patterns. Leverage existing data infrastructure to deploy AI agents at scale.
Seamlessly integrate with MLflow for model management, Unity Catalog for governance, and Genie for SQL-based intelligence. Reduce time-to-production from months to weeks with battle-tested patterns.
Unity Catalog connector with lineage-aware queries
Genie NL-to-SQL integration
AgentBricks scaffold with guardrails pre-configured
MLflow experiment tracking and model governance hooks
CI/CD pipeline template for Databricks Workflows
Autonomous Operations Agent Accelerator
Data Migration Intelligence Accelerator
Production-Ready Agent Architecture on AWS
Enterprise Agent Governance Accelerator
Voice Agent Accelerator
Outcome
Deploy your first production Databricks AI agent in under three weeks, with governance, observability, and secure enterprise data access built in
Built for Security, Governance, and Compliance
From data protection to model governance, SmartBots ensures every AI interaction is secure, compliant, and fully auditable
SOC 2 Type II Compliant
ISO 27001:2013 Certified
SOC 2 Type II Compliant
PCI DSS Compliant
Industry standard encryption- Can be cloud or on-premises deployment
- Adhere to client Data Governance
- Provide role-based access controls
- PII masking
- Audit logs
Built-in Security by Design
End-to-end data protection. Encryption in transit and at rest across all AI interactions
Strict access controls. Role-based access and identity management integrated with your enterprise systems
Secure data handling. No unauthorized data retention or model training on sensitive enterprise data
Isolated environments. Dedicated deployment options (VPC, private cloud, on-premise)
Governance & Control Layer
Policy-driven AI behavior. Define guardrails for how AI agents respond, act, and access information
Human-in-the-loop workflows. Critical decisions routed for approvals and oversight
Audit trails & traceability. Full visibility into every AI action, decision, and data source
Versioning & lifecycle management. Track changes across prompts, models, and workflows
Compliance & Risk Management
Aligned with enterprise standards. Designed to support ISO 27001, SOC 2, GDPR, and industry-specific regulations
Data residency & control. Ensure data stays within required geographic and regulatory boundaries
Content filtering & safety guardrails. Prevent harmful, biased, or non-compliant outputs
Continuous monitoring. Detect anomalies, misuse, and performance risks in real time
Audit & Monitoring
Explainable AI decisions. Understand how and why outputs are generated
Bias mitigation frameworks. Reduce risk of unintended or unfair outcomes
Model flexibility with control. Use multiple LLM providers while maintaining governance
Operational monitoring dashboards. Track usage, accuracy, and business impact
SmartBots Timeline
From Approval to Production — Fast. SmartBots deploys production-ready banking AI agents in 4–6 weeks.
Step 1
Define the Impact
- Lock the highest-ROI workflow
- Align stakeholders (Ops, Risk, IT, Compliance)
- Establish KPI baseline
Outcome
Clear scope. Clear ROI target
Step 2
Architect for Security
- Integration blueprint
- Compliance & guardrails
- Deployment model finalized
Outcome
Book a Banking AI Strategy Session
Step 3
Build & Orchestrate
- Agent reasoning logic configured
- Policy & decision engine embedded
- End-to-end automation
Outcome
Functional AI agent handling real scenarios
Step 4
Validate & Optimize
- UAT with ops teams
- Audit & compliance validation
- Observability instrumentation
Outcome
Production-approved
Step 5
Launch & Measure
- Controlled rollout
- Live KPI tracking
- Continuous optimization loop
Outcome
Measurable impact within 30 days
Stop Piloting. Start Deploying
In a 30-minute executive session, we will
- Identify your highest-impact automation opportunity
- Assess integration feasibility
- Estimate cost savings and productivity lift
- Outline a 4–6 week deployment roadmap