Customer experience has officially moved past the era of simple "FAQ bots." Businesses are quickly pivoting toward Agentic AI, or intelligent agents that don’t just talk, but act.

What is Agentic AI?

Unlike "Generative" or "Classic" agents that simply retrieve information, Agentic agents are task-oriented. They use "Skills"—predefined sets of actions connected to your tech stack (Salesforce, Zendesk, Shopify, etc.)—to execute complex workflows like booking appointments or processing returns.

The power of Omnichannel Skills Mining

In the past, automation was often siloed by channel. Now, with significant updates to the Dialpad platform, Skills Mining analyzes historical conversation data across both voice and digital channels (chat, SMS, social)—simultaneously. 

By leveraging this omnichannel data as the operational backbone for your agents, you can move easily from "Pilot Purgatory" to a high-ROI production environment. 

How it works:

• Unified Context: The AI identifies friction points and automation opportunities across every touchpoint, ensuring insights are never siloed regardless of where a conversation started.

• Cross-channel consistency: Your AI Agent applies a "single source of truth" to every interaction—handling a "Refund Request" on WhatsApp with the same logic and efficiency as a voice call.

• Self-optimizing action loops: Beyond discovery, the AI proactively suggests the specific "Skills" and workflows needed to automate manual tasks, moving your agents from insight to execution in days, not months.

Optimizing the "Connector" ecosystem

A skill is only as good as the data it can access. Dialpad’s new mining capabilities now extend into Connector and Action Optimization:

• Identifying gaps: Mining doesn't just suggest what to do. It identifies which Connectors (APIs) are missing or underperforming. If the AI sees that 15% of calls fail because the agent can't access "Shipping Labels," it recommends a specific API integration.

• Data Operation Mapping: The system helps map out the exact Data Operations needed—suggesting whether a skill requires a "Get Record," "Update Lead," or "Create Ticket" action based on how human agents currently navigate their software.

Advanced segment optimization

Not all customers are the same. Skills Mining now allows for AI Agent segmentation, so you run it specifically for certain "Call Purposes" or departments. This allows you to pinpoint the exact customer segments where an AI Agent will have the highest impact on CSAT before you even hit "Publish."

From insight to action: The proving ground

Once the mining process identifies a "High Impact" opportunity (flagged when a skill can handle >10% of interactions), you can move it into the Proving Ground:

• Auto-Build: Dialpad pre-fills the instructions and outlines the steps based on mined data.

• Simulation: Before going live, run 10–15 simulated scenarios to ensure the AI handles complex edge cases and stays within your Guardrails.

• Deploy with Confidence: With a clear view of the task completion rate, you can launch your Agentic worker knowing exactly how much human time it will save.

The bottom line

Agentic AI is no longer a guessing game. By leveraging Omnichannel Skills Mining and Connector Optimization, you bypass building on assumptions and focus on the reality of your customer interactions.