Navatar Brings AI-Powered Finance Advisory to Salesforce for Investment Banks
Navatar announced an AI-powered corporate finance advisory operating model built on Salesforce, designed to help investment banks and consulting firms coordinate deal work across multiple teams and service lines. The platform connects sponsor relationships, deal pipelines, and mandate execution in a single system.
The problem it addresses is structural. At most firms, corporate finance teams, transaction advisory, diligence, tax, and restructuring groups all work with the same sponsors or their portfolio companies-but separately. Relationship history, prior mandates, and current activity scatter across spreadsheets, email, and practice-level systems.
One View of Sponsor Relationships
Navatar's AI Deal Engine runs continuously across the full deal lifecycle, from sponsor coverage through post-close relationship management. It captures relationship and workflow intelligence as teams create it, preserving institutional context that would otherwise disappear when people leave or move between deals.
Leaders can now see which sponsors are active across the firm, which teams are engaged, what mandates are live, and where the firm can deepen coverage or coordinate outreach.
Better Deal Origination Through Shared Context
The system helps corporate finance teams move from isolated idea generation to firm-informed origination. By combining sponsor relationship history, sector intelligence, prior mandates, and firmwide activity, the AI identifies when a conversation is timely and what angle is most likely to resonate.
In buyer and target research, teams can map relevant strategics and financial sponsors without rebuilding lists from scratch. They can see which parts of the firm already know a prospect and create more informed target lists grounded in actual relationship intelligence.
Coordinated Execution Across Workstreams
Once a mandate is live, execution typically fragments. A corporate finance team needs support from diligence, tax, restructuring, and valuation specialists while managing buyers, sponsors, management teams, and internal approvals.
Navatar acts as a coordination layer. It tracks who is engaged, what has been shared, where process milestones stand, and which internal experts should be pulled in based on prior work and current needs. As buyer behavior and sponsor interest evolve, teams can refine strategy without losing context across handoffs.
Built for Confidentiality and Control
The system is built on Salesforce and Agentforce, with enterprise-grade security and governance. Client data remains within secure environments and is not exposed to public AI models.
The platform provides guardrails for accuracy, completeness, and traceability across sponsor coverage, origination, and mandate execution. Role-based access, visibility controls, and audit trails help firms deploy AI agents responsibly in live client engagements.
For more on how AI is reshaping financial services, see our guide to AI for Finance and the AI Learning Path for CFOs.
Your membership also unlocks:
