Call routing

Call routing is the process of directing an incoming phone call to the most appropriate agent, team, or automated system based on defined criteria. It determines where a call goes the moment it enters a contact center, shaping both the efficiency of operations and the experience of the customer on the other end of the line.

Effective call routing reduces transfer rates, shortens wait times, and increases the likelihood that a customer reaches someone, or something, capable of resolving their issue on the first attempt. Poorly designed routing sends customers through unnecessary menus, transfers them multiple times, or connects them to the wrong team, all of which erode satisfaction and increase handle time.

How call routing works

Call routing systems evaluate incoming calls using a combination of inputs and apply logic to determine the destination. Common routing inputs include:

• Dialed number: Different phone numbers can map to different queues or departments.
• IVR selections: Choices made in an interactive voice response (IVR) menu indicate the caller's issue category.
• Spoken input: In conversational IVR systems, the caller states their reason for calling, and natural language processing classifies the intent and routes accordingly.
• Caller ID and account data: Returning customers can be identified by phone number and routed to their assigned account team or the agent who handled their last interaction.
• Queue conditions: Real-time data on agent availability, queue depth, and wait times influences routing decisions to balance load across teams.

The routing decision is typically executed by an automatic call distributor (ACD), which applies the configured rules and connects the call.

Types of call routing strategies

Different routing strategies optimize for different goals:

• Skills-based routing: Matches callers to agents with relevant expertise, such as technical support, billing, or a specific language, reducing the need for internal transfers.
• Priority-based routing: Elevates calls from high-value customers or critical issues to the front of the queue, ensuring SLA commitments are met.
• Round-robin routing: Distributes calls evenly across available agents to balance workload and prevent any single agent from being overwhelmed.
• Time-based routing: Changes routing destinations based on business hours, time zones, or holidays, directing calls to available teams when primary teams are offline.
• Behavioral routing: Uses customer data, such as history, sentiment, or predicted needs, to match callers with the agent or team most likely to resolve their issue effectively.

AI-powered call routing

AI has added a new dimension to call routing by enabling real-time analysis of what a caller says and how they say it. Rather than relying on menu selections alone, AI-powered routing can identify intent directly from natural speech, classify urgency based on tone and word choice through sentiment analysis, and route based on predicted issue type before the caller has finished explaining their reason for calling.

AI routing systems can also adapt dynamically. If a caller's stated intent does not match the queue they were routed to based on their IVR selection, the AI can flag the mismatch or trigger a re-route. This reduces the frustration of being transferred after a long wait. According to Salesforce's contact center research, customers rate being transferred multiple times as one of the most frustrating service experiences, making intelligent routing a direct lever on satisfaction scores.

Call routing and CX outcomes

The downstream impact of routing quality shows up in several key metrics: first contact resolution (FCR) improves when calls reach the right agent on the first attempt, average handling time drops when agents handle calls matched to their skills, and call abandon rate decreases when wait times are reduced through smarter load balancing. For teams evaluating how AI voice capabilities fit into their routing infrastructure, the Decagon guide to agentic AI for CX provides relevant context on how AI agents integrate with existing telephony setups.