1. The Time-Saving Automation Test
The simplest way to judge an AI tool is by the time it saves. Salesforce’s AI, particularly Agentforce and Einstein, is designed to automate repetitive administrative work that consumes hours every week. For this test, pick a common, low-risk task that slows
your team down. Good candidates include summarizing long email threads with a client, generating meeting notes from a call transcript, or drafting a standard follow-up email after a customer interaction. The goal isn't perfection; it's efficiency. Set up a workflow where the AI handles the first draft. For example, use an AI agent to automatically summarize a service case history or a sales call. Then, measure the outcome. How much time did your team member save by editing the AI’s summary versus writing it from scratch? Was the generated content accurate enough to be useful? If the AI can consistently give your team back even 30 minutes a day, the productivity gains can be substantial. This test cuts directly to the core value proposition of enterprise AI: freeing up humans to focus on more complex, strategic work.
2. The Hidden-Revenue Insight Test
A powerful AI should do more than just complete tasks; it should uncover opportunities you would have otherwise missed. This test focuses on the predictive and analytical capabilities of Salesforce's AI, which are designed to sift through your vast CRM data to find patterns. Before starting, ensure your data is relatively clean, as AI is only as good as the information it's given. For this test, ask the AI a specific, revenue-oriented question that would normally require a manual report or hours of analysis. For example: "Based on historical data, which of my open opportunities are most at risk of closing lost?" or "Identify five existing customers who show the strongest signals for a potential upsell." Salesforce’s AI tools are built to perform lead and opportunity scoring by analyzing past successes and failures. Success here is measured by the quality and actionability of the insight. Did the AI surface at-risk deals you weren't already watching? Did its upsell recommendations make sense to your sales reps? This test reveals whether the AI can function as a true strategic partner, turning your dormant data into a proactive tool for growth.
3. The Customer-Facing Content Test
This final test evaluates the generative capabilities of Salesforce AI, assessing its ability to craft personalized, brand-aligned content for external audiences. The latest AI tools can generate everything from marketing email copy to personalized service replies. The challenge is ensuring the output sounds authentic and aligns with your company’s voice. For this workflow, choose a common communication scenario. You could ask the AI to draft three different subject lines for a marketing campaign targeting a specific customer segment or to write a personalized response to a common customer service query. The key is to ground the AI in your own data and knowledge. Recent announcements around Dreamforce 2026 highlight that Salesforce's AI can leverage your internal data to ensure relevance. Evaluate the results based on three criteria: personalization, brand voice, and efficiency. Did the AI correctly use the customer's history to tailor the message? Does the language sound like it came from your team? And most importantly, did it produce a usable draft faster than a human could have written it? This test determines if the AI can be trusted to represent your brand and scale your team's ability to communicate effectively.
