Go Beyond the Polished Demo
Every vendor will arrive at Dreamforce with slick AI demos. The conversation, however, has shifted from what AI can do in a lab to what businesses can achieve with it in the real world. Your audit should start by questioning the demo's feasibility. The key
is to look past the impressive interface and ask about the underlying mechanics. How does the AI access proprietary enterprise data to provide context? How much work is required to integrate it with your existing systems? Customer-led sessions are often more revealing than product keynotes, as they tend to surface the awkward but crucial details about implementation time, data cleanup, and change management.
Assess the Real-World Data Strategy
Agentic AI is only as good as the data it can access. Salesforce’s strategy centers on connecting its AI, dubbed Agentforce, with its Data 360 and Customer 360 platforms to provide rich customer context. Before the conference, audit your understanding of a company's data foundation. A vendor promising personalized, AI-driven experiences needs a credible story for how it unifies fragmented information like customer identity, service history, and consent. If a company's data is a mess, its AI agents will simply be an expensive new way to expose old problems. The real advantage comes from proprietary data that creates a competitive moat, not just access to a powerful AI model.
Distinguish Platform from Feature
The AI gold rush has produced a flood of “AI-powered” features. A crucial part of your audit is to distinguish between a company offering a simple feature and one building a true platform. A feature might be a chatbot in a service app. A platform, by contrast, provides the tools for building, managing, and governing AI agents across an entire business. The conversation at Dreamforce 2026 is expected to focus on moving from individual AI copilots to scalable, production-grade AI deployments. This means looking for vendors who can manage the entire model lifecycle, from training and testing to monitoring and retraining.
Scrutinize the Economics
As AI moves from pilots to production, the economics become harder to ignore. The traditional per-user, per-month licensing model doesn't fit neatly when the "user" is an autonomous AI agent. This is pushing the industry toward consumption-based pricing models. While Salesforce has reported significant revenue from Agentforce, many businesses still find it difficult to pin down a clear return on investment (ROI). Before Dreamforce, audit your watchlist for companies that can articulate a clear path from AI investment to measurable business value. This includes asking tough questions about the total cost of ownership, not just the initial licensing fees.
Evaluate the Partner Ecosystem and Trust
No single company can build the entire agentic enterprise alone. Salesforce, for example, has a major partnership with the AI company Anthropic. A strong ecosystem of partners, developers, and implementation specialists is a sign of a healthy platform. At the same time, trust and ethics are paramount. As AI takes on more complex tasks, the need for robust governance, security, and bias mitigation becomes critical. Audit your watchlist for companies that are transparent about their ethical standards and how they handle AI-specific risks like data leakage and hallucinations. A vendor’s commitment to responsible AI is a strong indicator of its long-term viability.
