What if your AI investments could do more than save a few minutes a day—they could drive measurable revenue growth?
At congruentX, we believe AI should be more than a productivity tool. It should be a revenue generator. That’s why we’ve built 40 Copilot use cases designed to create tangible value for businesses like yours. If you’re ready to stop experimenting and start seeing real financial impact, keep reading.
The Shift in AI’s Value Proposition: Why Efficiency Isn’t Enough
For years, AI was sold as the ultimate efficiency tool. But today’s CFOs and business leaders are demanding more. Saving time is great, but it’s notoriously hard to measure ROI on a few minutes saved here and there. And let’s face it, concerns about job displacement don’t make efficiency-first solutions any easier to sell.
So, what’s changed?Businesses are now prioritizing AI investments that directly drive revenue. Recent research supports this shift:• McKinsey’s AI Report: High-performing companies are leveraging AI to deliver measurable revenue gains.• Gartner’s Hype Cycle: “Responsible AI” is now all about tangible business benefits—like boosting revenue growth.
Economic pressures mean organizations are more careful than ever about where they invest. The result? CFOs are saying “show me the money,” and businesses are listening.
Agentforce: What’s Beneath the Surface?
If you’ve heard of Agentforce (built on Airkit.ai, a company Salesforce acquired), you’ve likely seen it touted as a game-changer. But let’s take a closer look.
At Salesforce’s Dreamforce conference, Agentforce was featured prominently—yet only a handful of use cases were demonstrated. For many businesses, deploying Agentforce requires significant additional investment, such as implementing Salesforce’s Data Cloud.
And the pricing? After initial free conversations, it’s $2 per conversation. For large-scale deployments, those costs add up quickly, without a guarantee of real revenue impact.
Microsoft Copilot: Driving Revenue Instead of Just Efficiency
Unlike Agentforce, our approach to Microsoft Copilot goes beyond surface-level features. We don’t just build tools—we craft strategies.
Here’s how we help our clients unlock measurable value:
1. Data Accuracy: Did you know 91% of CRM data is inaccurate? We leverage Copilot to clean up your data, reduce friction, and give your team the tools they need to succeed.2. Revenue-Focused Use Cases: From revenue generation to predictability, insights, and execution playbooks, our 40 Copilot use cases are designed to create significant business impact.3. Quantifiable Results: Through our Copilot Impact Lab, we identify $5 to $15 million in revenue lift opportunities for companies earning $300 million to $1 billion annually. For the right clients, we even back our results with a success-based fee model.
What’s Next?
AI can be a powerful tool—but only if it’s applied strategically. Don’t waste time and budget on flashy solutions that don’t move the needle. Let us help you get AI right.
Visit www.getcopilotright.com to learn more about our approach and see how we can help you achieve measurable revenue growth.
