Having a hard time adopting AI in Customer service?
I've been where you are.
The pressure to adopt AI is mounting, but the path forward isn't always clear.
After guiding numerous companies through this transition, I've developed a framework that I believe will help you navigate these waters with confidence. Here is a link to an interactive dashboard I threw together with Claude 3.5 Sonnet Artifacts. Let me walk you through it.
The Framework: Building Trust and Enhancing Service with AI
1. Transparency and Education
You might be thinking, "My team is already stretched thin. How can we add AI training to their plates?" I get it. But here's the thing: a little investment now saves a lot of headaches later.
What you can do:
Why it matters: When your team understands AI, they become your best advocates and innovators.
2. Integration and Collaboration
"But our systems are already complex!" I hear you. The key is to view AI not as another layer, but as a thread that weaves through your existing fabric.
What you can do:
Why it matters: Seamless integrationmeans happier customers and employees.
3. Auditability and Explainability
I know what you're thinking: "Great, another black box to worry about." But it doesn't have to be that way.
What you can do:
Why it matters: When you can explain how decisions are made, you build trust with both your team and your customers.
4. Monitoring and Feedback
You're probably wondering, "How do we know if this is actually working?" Good question. Let's make sure you have the answer.
What you can do:
Why it matters: Continuous improvement is the key to long-term success with AI.
Recommended by LinkedIn
Where Are You and our organization on the AI Adoption curve ?
Let's take a moment to assess where you are in your AI adoption curve. I'll walk you through each aspect of our framework, helping you gauge your current standing. As we go through this, remember: every company's journey is unique, and progress is more important than perfection.
1. Transparency
Think about how often you're educating your team about AI:
2. Integration
Consider how deeply AI is woven into your customer service processes:
3. Auditability
Reflect on how well you can explain and verify AI decisions:
4. Monitoring
Think about how often you're gathering and acting on feedback about your AI systems:
Now, let's add up your score. Give yourself 1 point for each "Low" rating, 2 for each "Medium," and 3 for each "High."
Remember, this assessment isn't about judgment – it's about understanding where you are and identifying opportunities for growth. Every business's AI adoption curve is unique, and progress is what matters most.
Advance Adoption,
Benjamin Justice