Navatar launches AI system to automate M&A deal workflows for investment banks
Navatar announced an AI-powered operating model for M&A advisory firms on April 9, 2026, designed to reduce manual work and help bankers spend more time with clients. The system, called the AI Deal Engine, runs continuously across deal origination, client coverage, execution, and post-close management.
The move addresses a productivity problem McKinsey identified at pure-play investment banking firms: growth has stalled even as deal activity continues. Navatar's CEO Alok Misra said leading banks are already using AI for prospecting and lead prioritization, but the next step is automating entire workflows. "Bankers spend less time updating systems and more time in front of clients," he said.
How the system works
The AI Deal Engine captures signals from emails, meetings, call notes, and pitch materials, then connects them to sectors, themes, buyers, sellers, and capital providers. It identifies gaps in coverage, flags relationships at risk of falling through, and suggests next steps for each banker.
For deal origination, the system links company performance and investor activity to potential process triggers on the sell-side. On the buy-side, it connects client priorities to buyer and sponsor universes, surfaces relevant precedents, and proposes target lists based on strategic fit and past deal behavior.
During execution, the AI acts as institutional memory across workstreams and data rooms. It tracks who said what and when across management, buyers, and sponsors. It also flags bottlenecks, aligns timelines across teams, and adjusts buyer priorities as engagement patterns shift.
Operations and scalability
The system reduces time spent on routine follow-ups, reminders, and CRM data entry. Junior bankers can access deal and sector intelligence that reflects the firm's full history, not just what's in personal notebooks. Leadership can scale into new sectors and regions while maintaining consistent coverage standards.
The platform is built on Salesforce's Agentforce and keeps client data within secure environments rather than exposing it to public AI models. Navatar provides audit trails showing where information came from and how recommendations were generated, helping firms manage risk during live deals and client decisions.
Learn more: Explore how AI agents and automation are reshaping operations, or review the AI learning path for operations managers to understand implementation strategies.
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