Bank-grade security
Full encryption, access control, and tenant isolation for your data.
Why ChatGPT for investment banking fails at scale
Lyzr's enterprise AI supports IB workflows with bank-grade security and compliance controls, delivering grounded, accurate outputs for diligence and pitch books.
Security-first AI
Finance-ready outputs
Workflow automation
The Enterprise Answer:
ChatGPT for Investment Banking
Investment banking teams require governed AI. Lyzr ensures secure data handling, domain grounding, and full auditability to reduce financial data hallucinations.
Deal workflow
Accelerate sourcing, summaries, drafts, and critical internal reporting.
Compliance controls
Utilize built-in audit logs, approvals, and policy guardrails with citations.
System integrations
Connect your CRM, VDR, SharePoint, data rooms, and model files.
Domain grounding
Get finance-ready knowledge with verified sources and clear citations.
Banking
Banking
Lyzr maps to core IB tasks: deal sourcing, modeling support, due diligence, pitch book generation, market analysis, and client reporting.
Deal Sourcing Intel
Generate sourcing briefs, comps notes, and market scan summaries.
Diligence & Review
Enable document Q&A, red-flag extraction, and audit-ready outputs.
Pitch Books Reporting
Instantly draft narratives, create slide outlines, and tailor client updates.
IB teams need speed and certainty. Generic ChatGPT adds risk, but Lyzr's enterprise AI platform adds control.
Beyond ChatGPT for Investment
Banking: Enterprise AI
Reduce Data Hallucinations
Source grounding and citations reduce incorrect financial data assertions.
Protect Sensitive Deal Data
Ensure secure handling of MNPI, CIMs, and confidential client documents.
Accelerate Deliverables
Increase speed for teasers, memos, diligence notes, and pitch drafts.
Audit-Ready Compliance
Built-in logs and controls are aligned to regulated environments.
Enterprise Capabilities
for Finance AI
Lyzr provides enterprise-grade governance, RAG with citations, secure connectors, and role-based access controls for safe workflow automation.
Secure Knowledge
Index CIMs, models, and internal policies without exposing data publicly.
Grounded Responses
Use retrieval and citations to generate verifiable deal and market outputs.
Role-Based Access
Limit access to MNPI by role, team, specific deal code, or permission tiers.
Tool & Data Connectors
Connect to your existing CRM, VDR, SharePoint, email, spreadsheets, and BI tools.
Review Workflows
Add approvals, human-in-loop checks, and integrated version control.
ChatGPT for Investment
Banking: A Comparison
| Feature | Generic AI Tools | Copywriting AI | Lyzr |
|---|---|---|---|
| Data privacy | Public data | Vendor data policies | Private data isolation |
| Grounded responses | No citations | Lacks financial data | Built-in citations |
| Compliance logs | No audit trail | No specific logs | Full enterprise governance |
| Integrations | Limited to public APIs | No enterprise connectors | Native IB system connectors |
| Access control | No granular control | Per-user access | Granular RBAC controls |
| Deal sourcing automation | Not available | Unavailable | Automated sourcing engine |
| Financial model support | No direct support | Not designed for it | Integrated modeling tools |
| Diligence workflows | Manual process | Unsupported | Automated diligence support |
| Client reporting tools | No specific tools | Lacks financial context | Custom client report builder |
| MNPI handling | High risk | Not secure | Secure MNPI environment |
The Enterprise AI Platform
for Finance
For Regulated Teams
Governance, audits, and controls built for FS compliance.
Domain Grounding
Get finance-ready knowledge with verified sources and citations.
Deployment
Private cloud and on-prem options that pass security reviews.
Productivity
Achieve measurable time saved per deal and faster client turnaround.
Trusted by Leading
Financial Institutions
Our enterprise-grade AI platform is trusted by financial teams to handle sensitive data, automate workflows, and maintain strict compliance standards securely.
We evaluated using ChatGPT for investment banking but the security and compliance gaps were too significant. Lyzr GPT gave us the enterprise-grade controls we needed. Our team now produces pitch book first drafts 40% faster with full auditability and confidence in our data's security.
VP, M&A · Boutique Investment Bank
Zero
Data exfiltration incidents
Deploy Secure AI for Investment
Banking Teams
Scope Cases
Select key sourcing, diligence, and reporting workflows.
Secure Data Connect
Connect VDR and CRM, then set retention rules and RBAC.
Add Guardrails
Configure policies, approval flows, citations, and activity logging.
Launch & Measure
Pilot with teams, provide training, and track time saved.
Investment Banking AI:
Your Questions Answered
Is ChatGPT for investment banking safe for MNPI?
Using public AI tools like ChatGPT for MNPI poses significant data privacy and security risks. Your data may be used for model training. An enterprise AI platform like Lyzr operates in a private, secure environment, ensuring your sensitive deal information remains confidential and compliant.
How does Lyzr improve on ChatGPT for investment banking?
Lyzr provides an enterprise-grade layer that generic tools lack. This includes strict data governance, grounded answers with citations to prevent hallucinations, native integrations with banking systems like VDRs, and comprehensive audit logs for compliance.
Can investment banking AI be compliant with regulations?
Yes, but only with the right architecture. Compliance requires strict controls, full auditability, and robust data governance. Lyzr is designed with these features, providing the guardrails needed to use AI responsibly in regulated environments.
How does Lyzr handle data security?
We prioritize security with end-to-end encryption, role-based access controls (RBAC), complete tenant isolation, and customer-defined data retention policies. Your data is processed in a secure, private environment, never on public servers or models.
How do you reduce hallucinations in financial data?
Our platform minimizes hallucinations using a Retrieval-Augmented Generation (RAG) architecture. It grounds all responses in your verified, private data sources and provides citations, ensuring outputs related to financial metrics are accurate and traceable.
Does Lyzr integrate with our existing banking tools?
Yes, Lyzr is built to connect with the tools your team already uses. We provide secure connectors for CRMs, Virtual Data Rooms (VDRs), SharePoint, and spreadsheets, creating a seamless AI layer across your existing technology stack.
Can it help generate pitch book outlines and drafts?
Absolutely. Lyzr automates the creation of first drafts for pitch books by analyzing deal context and client data. It can generate compelling narratives, suggest slide structures, and summarize key data points, significantly reducing manual preparation time for your team.
How does Lyzr support the due diligence process?
Lyzr accelerates due diligence by enabling natural language Q&A over entire data rooms. It can summarize thousands of documents, extract key terms, and automatically flag potential risks or discrepancies, making your review process faster and more thorough.
What data sources can be used for market analysis?
You have complete control. Lyzr can be grounded in your firm's internal research reports, approved third-party datasets, and other curated external sources. This ensures that all market analysis is based on information that meets your firm's standards for quality.
How long does implementation take for an IB team?
Implementation is phased for rapid value. We typically start with a pilot program for a specific use case, which can be live in weeks. From there, we work with you to scale the solution across other workflows and teams at your pace.
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.