Michael Bogart, Founder and CEO of Revenue-Growth.AI, explains that the traditional playbook for generating pipeline (relying on predictable conversion rates from email, cold calls, and conferences) is “dead.” In response, the company focuses on maximizing the value of existing prospective and current customers by deploying specialized AI agents to predict and reduce churn, improve close rates, and reduce time-to-close.
The core value proposition is demonstrated through a simple deal inspection agent built on an automation platform (make.com), utilizing the Gemini large language model. This agent is trained to synthesize a plethora of information (call transcripts, emails, notes, next steps) for any deal. The agent can then automatically take action, such as updating a field in Salesforce (e.g., confirming competitive intelligence is present, citing the call ID as the source) and sending a critical, automated notification via Slack to the relevant team (CRO, rep, etc.) if key deal criteria are met. Crucially, Revenue-Growth.AI avoids the typical blockers to AI adoption, security review, and the build-versus-buy debate by building, deploying, and maintaining these custom agents natively within the customer’s existing tech stack and environment. This approach ensures a fast time-to-market, allowing customers to start with one agent and see results within the same quarter.
Takeaways:
Audit Your Deal Data: Use the agent framework to immediately start inspecting deal quality. Train the first agent to output one of three conclusions on a critical deal stage component (e.g., Pain Identified: Met, Partially Met, Unmet) and require a source citation.
Automate Business Cases: Leverage the agent’s ability to take action by setting up criteria to automatically generate a Version 1 business case or slide deck for any deal that hits a specific stage and close date. This saves high-value sales time.
Bypass Security/IT Roadblocks: Given that the agents are built in your existing environment (bypassing the need for new software security reviews), identify one critical, high-impact revenue problem and allocate budget to pilot a single agent immediately.
Prioritize Pipeline Efficiency over New Lead Volume: Focus AI investment on maximizing the conversion and retention rates of the existing pipeline and customer base, acknowledging that traditional pipeline generation math is no longer reliable.
Special Offer: For members of the 100 Founders Network, the initial build and deployment of the first AI agent is offered for a one-time fee of $10,000 (a reduction from the typical $15,000 setup fee). Contact Michael Bogart at MD Bogart (LinkedIn) or revenue-growth.ai to initiate the conversation.
Links:
LinkedIn: https://www.linkedin.com/in/mdbogart/
Website: https://www.revenue-growth.ai/