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Navatar Introduces Governed AI Framework for Private Equity and M&A, Combining Salesforce CRM, Agentforce and Claude
New approach enables private equity and investment banking firms to selectively apply frontier-model reasoning while maintaining control over sensitive deal, LP, and portfolio information
NEW YORK and LONDON, Aug. 12, 2026 (GLOBE NEWSWIRE) — Navatar today announced a governed AI framework for private markets firms that combines Navatar’s purpose-built CRM and AI capabilities with Salesforce Agentforce and Claude. The framework is designed to give private equity and investment banking firms a practical way to use advanced AI reasoning while retaining control over where proprietary information is accessed, processed, and acted upon.
Private markets firms are rapidly adopting tools such as Claude for research, deal analysis, document summarization, and drafting. But for partners and firm leadership, the opportunity comes with an equally important question: how can a firm use powerful external AI models without exposing confidential information on LPs, targets, portfolio companies, investment theses, and internal decision-making? A 2026 <a href="https://www.globenewswire.com/Tracker?data=aVO1SrcH7Kw7nU5GnxKvrFdsCBXa_3oWDnnNCfPqbymvOgFx5Vi2MF6F6Zm76zeT7qBZ91Dtkdzi5M9YZ24Z76en5QdW0xwcXTntvnxYKwhYgKkmUpX1YVWlqbCtrZqa6TFCZm-JuIRg1YkcZw-nLSVC8KFn5DHjJhKPv6iBD3Y377S661sXmXeeVmDW8d_cjU-pOjh-Q7uQ0VlcH_bnw4D39QicP9yZEAYLVeQLPneQKY7-2CKmUKXCKub21subLRh5oUtcO2G33tCS_qNco8A-Ip03jGXTuSThI3JeMKI=” rel=”nofollow noopener” target=”_blank”>Cambridge Judge Business School report on AI in financial services identified data privacy and protection, along with unreliable model outputs, as the two leading risks cited by industry, vendors, and regulators.
Navatar’s approach is to make AI usage selective, structured, and governed—not a choice between an open-ended model and a static CRM.
Within Salesforce, Agentforce provides the governed agent layer. It can apply the firm’s access controls, data permissions, and workflow guardrails to determine what an agent can retrieve, which actions it can take, and what information should remain within the firm’s controlled Salesforce environment. Salesforce’s Trust Layer is an intermediary between agents and large language models, with controls including configurable data masking and zero data retention for third-party model providers. Navatar adds the private-markets-specific layer: fund structures, LP relationships, deal pipelines, portfolio records, investment workflows, and the rules that determine how they should be handled.
Claude can then be invoked selectively for the work that benefits from broad, freeform reasoning—such as cross-pipeline analysis, scenario modeling, competitive research, or synthesizing approved information across connected systems.
The result is control by design: firms decide which workflows remain within Navatar and Agentforce, which data is eligible for external-model reasoning, and when Claude is used.
