Faster Cycles
Dramatically reduce close, reporting, and analysis cycle times with automation.
Deploy Governed, Secure, and Auditable Gen AI in Finance
Deploy generative AI use cases across finance with enterprise-grade security, governance, and auditability for measurable business impact and faster insights.
Accelerate financial close
Compliant and auditable
Rapid enterprise deployment
Our Platform:
Secure Finance AI
Our platform delivers secure finance automation with trustworthy generative AI, featuring data privacy, complete audit trails, and strict governance controls for your team.
Grounded AI
Get accurate, grounded outputs every time by using your approved finance data.
Total Governance
Maintain full control with a complete audit trail, custom approvals, and policy.
Easy Connectors
Seamlessly connect with your existing ERPs, data warehouses, and critical BI tools.
Scale Safely
Confidently roll out powerful GenAI capabilities to your entire finance team.
Securely
Securely
Automate reporting, supercharge FP&A, and streamline risk and compliance workflows with our platform designed for safe, enterprise-scale deployment.
Reporting Automation
Generate summaries, narratives, and variance explanations with full data citations.
FP&A Forecasting
Enable powerful scenario modeling and get driver-based insights from trusted data.
Risk & Compliance
Automate policy Q&A, gather control evidence, and create fully auditable workflows.
Balance innovation with control. Lyzr helps finance leaders deploy generative AI with confidence and compliance.
The Business Impact of
AI in Financial Services
Accelerate the Close
Reduce manual effort and cut days from your monthly and quarterly close cycles.
Improve Decision-Making
Access real-time insights and clear explanations for business scenarios on demand.
Dramatically Reduce Risk
Enforce robust controls, manage approvals, and ensure every action is auditable.
Drive Higher Adoption
Embed intuitive copilots and agents directly into your team's daily workflows.
Enterprise Capabilities
for Secure AI
Our platform provides secure LLM deployment, RAG, strict governance, and seamless integrations for your finance teams.
Secure Data Access
Implement strict role-based access, PII redaction, and total tenant isolation.
RAG Grounding
Ensure accuracy with retrieval from approved finance sources, complete with citations.
Automated Agent Workflows
Orchestrate multi-step tasks like reporting and reconciliations with built-in approvals.
Granular Governance
Enforce policies, manage prompt versioning, and maintain complete, auditable logs for compliance.
Monitoring & Evals
Use built-in quality checks, drift monitoring, and user feedback loops.
Lyzr vs. The Market for
Gen AI in Finance
| Feature | Generic AI Tools | Finance Tools | Lyzr |
|---|---|---|---|
| Data Privacy Model | Shared tenancy | SaaS isolation | Private VPC deployment |
| Auditability & Logging | Basic user logs | App-level only | Immutable system logs |
| Data Grounding | Public web data | Limited sources | Private RAG on your data |
| Compliance | No controls | Hardcoded rules | Configurable guardrails |
| Integration | Generic APIs | Fixed connectors | Custom data mesh access |
| AI Model Governance | Single provider | Single model | Model-agnostic platform |
| Role-Based Access | Basic roles | User-level | Granular RBAC and policies |
| Automation Scope | Manual trigger | Single step | Multi-step agent workflows |
| Accuracy Control | High risk | Some protection | Citation-based grounding |
| Deployment Model | Public SaaS | Vendor cloud | VPC, On-Prem, or Cloud |
Built for Finance,
Not Just AI
Regulated Teams
Built with compliance-friendly controls and audit-ready architecture from day one.
Grounded Outputs
Drastically reduce hallucinations with RAG and citations grounded in your own data.
Fast Deployment
Move from pilot to production in weeks using our library of reusable components.
Fits Your Stack
Integrate with your existing systems and deploy anywhere, from private cloud to on-prem.
Trusted by Global
Finance Teams
Leading enterprises in banking, insurance, and financial services trust Lyzr to deploy GenAI safely and build a competitive advantage.
Lyzr transformed our financial reporting. We moved from a difficult pilot to full rollout, generating auditable GenAI narratives with citations. It cut our compliance review time by nearly 40% and gave our FP&A team trustworthy insights they can actually use for critical decisions.
Finance VP · Global Payments Fintech
Zero
Data exfiltration incidents
Deploying Gen AI in Finance,
The Right Way
Select Use Case
We help you identify the highest-ROI finance workflows and define success metrics.
Connect & Secure
Connect your data sources, set access controls, and define approved knowledge.
Build & Govern
Configure agents, apply guardrails, set approvals, and enable audit logging.
Launch & Optimize
We monitor for quality, help you iterate, and scale to more teams securely.
Your Questions About
Gen AI in Finance, Answered
What are the primary uses for Gen AI in finance?
The most common applications are financial reporting automation, where AI generates summaries and narratives; FP&A automation for scenario modeling; and compliance automation, which answers policy questions. These deliver immediate value by improving speed and accuracy in core finance functions.
How can our firm implement Gen AI in finance securely?
Secure implementation requires a platform with private deployment options (VPC or on-premise), strict access controls, PII redaction, and complete audit trails. Lyzr is built on these principles, ensuring your sensitive financial data is never exposed to public models or unauthorized users.
What are the risks of Gen AI in finance and how are they managed?
The primary risks are data privacy breaches, inaccurate 'hallucinated' outputs, and lack of auditability. Lyzr mitigates these with private deployment, RAG to ground answers in your data with citations, and immutable audit logs that track every action for full compliance.
How does generative AI improve financial reporting?
It accelerates the close by automating the generation of management discussion and analysis (MD&A), variance reports, and board summaries. This reduces manual effort, minimizes errors, and allows the finance team to focus on strategic insights rather than repetitive writing tasks.
Can this AI platform support FP&A automation?
Absolutely. Our platform acts as an FP&A copilot, enabling teams to model complex scenarios, ask natural language questions about forecasts, and get driver-based explanations instantly. It connects directly to your planning models and historical data for grounded, trustworthy analysis.
How does the AI stay compliant with financial regulations?
Compliance is built-in, not bolted on. Lyzr enforces custom guardrails, approval workflows, and provides a complete, auditable trail of all AI-driven activities. This ensures that every insight and report generated meets your specific regulatory and internal governance requirements.
What data sources are required for accurate AI results?
Accuracy comes from grounding the AI in your trusted internal data. This includes connecting to your ERP systems, data warehouses, financial planning software, and internal knowledge bases. Lyzr's RAG technology ensures all answers are based on this approved information, not public data.
Does it integrate with our existing finance tech stack?
Yes, integration is a core strength. Our platform is designed to connect seamlessly with your existing financial ecosystem, including major ERPs, BI tools like Tableau or Power BI, and data warehouses. This ensures a smooth workflow and maximizes the value of your current technology investments.
How do you measure the ROI for finance automation with AI?
ROI is measured through several key metrics: hours saved in manual reporting and analysis, reduction in compliance-related costs, faster decision-making cycles, and the value of new insights uncovered. We work with you to establish clear benchmarks and track performance against these goals.
What is RAG and why does it matter for AI in finance?
RAG (Retrieval-Augmented Generation) is critical technology that connects the AI to your private, approved data sources. It prevents hallucinations by forcing the AI to base its answers only on verified information and provide citations. For finance, this means trustworthy and auditable results.
Got a use case in mind?
8 weeks from use case to
8 weeks from use case to
agents running in production.
Platform, people and FDEs, all in. Bring your environment. We’ll co-build and stay until it’s
live.