Half the companies I speak to are already planning to implement it.
Almost none of them are ready.
Here’s what’s actually broken — and what to fix before you spend a penny on AI.
🔴 What’s Broken
Your data: Your CRM has duplicate records, missing fields, and contacts nobody has touched in 3 years. Agentforce will automate all of that — at scale.
Your process: Your sales process isn’t documented. Every rep does it differently. AI can’t automate a process that doesn’t consistently exist.
Your people: Your team doesn’t trust the data in Salesforce today. Telling them an AI agent is now acting on it will not go well.
Your ownership: Nobody owns AI governance. No one knows what the agent is allowed to do, what it can’t, or who is accountable when it does something wrong.
Your goals: “We want to use AI” is not a business case. There is no success metric, no pilot scope, no definition of what good looks like.
🔵 How to Fix It
Your data: Run a data quality audit before any AI conversation. Clean, complete, trusted data is the only foundation Agentforce can build on.
Your process: Document and standardise one core process first. Pick the one that’s repetitive, high-volume, and clearly defined — that’s your pilot candidate.
Your people: Fix the trust problem before the AI problem. Involve your team in cleaning the data — then introduce the agent.
Your ownership: Appoint an AI owner before go-live. Define what the agent can and cannot do. Someone must be accountable — by name.
Your goals: Define the problem first, the technology second. “Reduce response time on inbound leads by 40%” is a goal. “Use Agentforce” is not.
Agentforce is powerful.
But AI amplifies what’s already there — good or bad.
Fix your foundation first. The technology will be ready when you are.
The question isn’t “are we using AI?”
It’s “are we ready for what AI will expose?”
♻️ Tag a CTO or VP of Sales who’s in an Agentforce conversation right now.
