With hundreds of AI vendors pitching enterprises weekly, trust is low and differentiation is difficult. The most effective go-to-market strategy is to prove the technology works before asking for payment. Offering a free "solution sprint" for several weeks de-risks the decision for the customer and demonstrates confidence.

After a promising sales call, combat 'happy ears' by feeding your meeting notes into an AI. Ask it to identify the top three reasons the deal might *not* go through. This provides an unbiased third-party analysis, revealing red flags and potential objections you can address proactively.

Leverage AI to conduct comprehensive research on a prospect's company, industry, and the specific individuals you're meeting. This allows you to bypass basic discovery questions and dive into more relevant, informed conversations, making the sales call more efficient and valuable for the customer.

Using AI to generate a pre-call hypothesis about a prospect's priorities is valuable even when it's wrong. Presenting a thoughtful, albeit incorrect, idea demonstrates research. This prompts the prospect to correct you, immediately opening the door to a deeper conversation about their actual priorities.

In initial meetings with enterprise prospects, Nexla's founder didn't pitch a solution. He focused entirely on validating the problem. By asking, "Do you see this problem as well?" he framed the conversation as a collaborative exploration, which disarmed prospects and led to more honest, insightful discussions.

Instead of pitching a future product, identify an enterprise champion's urgent, blocked project. Deliver the solution manually as a service first (e.g., a PDF report). This validates demand, generates revenue, and is a common path in enterprise software.

For each potential buyer, create a new ChatGPT project. Upload your standard offer template, product overview, and all prospect-specific data (CRM info, call transcripts). Prompt the AI to synthesize these documents into a unique proposal that directly addresses the buyer's expressed pain points and priorities.

Use AI coding tools to build a prospect's requested feature or app in real-time during a sales call. This live demonstration of capability is a powerful sales flywheel that blows clients' minds, as most have never seen their ideas realized so quickly.

Briq accelerates enterprise sales by focusing on a small, specific pain point and securing an initial payment, however small. This 'land and expand' approach, centered on tangible micro-value, builds commitment and opens the door for larger deals, collapsing sales cycles.