AI Isn’t Scary – But This Is

Katharine Janisch, Business Manager: Salesforce, BlueSky

AI is everywhere. It’s generating headlines, sparking debates, and making businesses question their entire approach to operations, customer engagement, and innovation. Some fear it will take their jobs. Others worry it will upend industries overnight. But let’s get real – AI isn’t the scary part. What’s truly terrifying is the state of many organizations’ data, processes, and infrastructure.

Here’s what should actually keep you up at night:

  1. Messy Data = Messy Results

Salesforce AI, including Agentforce, thrives on clean, accurate data. If your CRM is filled with duplicate records, missing fields, or outdated contacts, AI-powered insights and automation will fall flat. Garbage in, garbage out—it’s that simple.

  1. Your Data Model Is a House of Cards

A flawed Salesforce data model means AI is drawing conclusions from a shaky foundation. If your objects, relationships, and workflows aren’t structured properly, your AI-driven decisions will be misaligned with reality.

  1. Bad Processes, Faster Failures

Agentforce can supercharge sales and service, but it won’t fix broken processes. If your lead routing, case escalation, or approval workflows are inefficient, AI will just help you make mistakes faster.

  1. Your Team Isn’t Drinking the AI Kool-Aid

AI isn’t a magic wand. If your sales, service, and IT teams don’t understand, trust, or support AI initiatives, they will resist adoption. AI projects fail not because of technology, but because of people.

  1. Your Tech Stack Belongs in a Museum

Legacy systems that don’t integrate properly with Salesforce, outdated technology stacks, and patchwork solutions create roadblocks. AI needs a solid foundation, including well-maintained integrations and clean automation, to thrive.

  1. No Rules, No Results

Without proper governance, AI initiatives quickly spiral into chaos. Who owns the data? Who ensures ethical usage? Who monitors performance? Agentforce and AI in Salesforce need strong governance to drive real value.

  1. AI Can’t Solve What You Can’t Define

Throwing AI at an undefined problem is a recipe for wasted resources. Whether it’s improving lead conversion, automating customer support, or enhancing service personalization, a clear business challenge must be identified first.

  1. You Haven’t Done the Math

AI investment in Salesforce needs a business case. If you can’t quantify the value of solving a problem—such as increased sales, reduced churn, or faster case resolution—how can you justify the investment? AI for AI’s sake is a costly mistake.

The Real Fear: Unpreparedness

AI isn’t coming for you—your own organizational weaknesses are. Instead of fearing AI, fear the lack of readiness. Fix your data, align your processes, get your stakeholders engaged, and build a governance model. With Salesforce and Agentforce, AI can truly be a transformative force rather than a failed experiment.

AI isn’t scary. But the state of your organization? That might be.

Ready to Take Action?

Don’t let unpreparedness hold you back. Contact us for a readiness assessment to evaluate where you stand and identify quick-win AI use cases that align with your current state. Let’s turn AI into an advantage, not a risk!

 

– Katharine Janisch, Business Manager: Salesforce, BlueSky

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