Conditional Call Routing Information & FAQs
Conditional Call Routing enables your AI Agent to intelligently route inbound callers to the right person or department based on both what the caller says and information stored in the contact record—without phone menus or a live receptionist. Instead of relying on simple keyword matching, the AI evaluates the entire conversation and available customer data to make routing decisions.
How Conditional Call Routing Works
When an inbound call requires a transfer, the AI evaluates multiple pieces of information simultaneously, including:
- The caller's intent
- Names mentioned during the conversation
- Geographic location
- Contact record fields
- Multiple routing conditions
This allows the AI to make context-aware decisions instead of following rigid IVR menus.
Supported Routing Scenarios
1. Urgency
The AI understands urgency and context—not just department names.
Example
Caller says:
"My heat is out and I have a baby in the house."
Instead of routing to standard Support, the AI recognizes the emergency and routes the call directly to Dispatch.
2. Name Recognition
Conditional Transfer recognizes:
- Nicknames
- Common pronunciation variations
- Speech-to-text differences
Examples
- "Transfer me to Markis."
- "Put me through to Mika."
The AI matches these requests to the correct destination whenever possible.
3. Location-Based Routing
The AI can route callers based on their geographic location.
Example
Caller says:
"I'm calling from Carmel, Indiana."
The AI identifies the location and routes the caller to the correct district or regional team.
If the location cannot be confidently determined, the AI uses the configured fallback option.
4. Contact Record Routing
The AI can use information already stored on the contact.
Example
Caller says:
"I need help with an onboarding question."
If the contact record shows that Jordan Kim is the assigned representative, the caller is transferred directly to Jordan without needing to request them by name.
5. Complex Decision Making
Conditional Call Routing evaluates multiple factors before making a routing decision.
Example
Caller says:
"I used your firm for a civil case. I now have criminal charges."
Although the caller has an existing relationship with a civil attorney, the AI recognizes that the current matter is criminal and routes the caller to the Criminal Defense team instead.
Best Practices: Use Clear Destination Descriptions
Your routing descriptions should be:
- Short
- Specific
- Easy to distinguish from one another
Avoid creating overlapping descriptions, as they can cause ambiguous routing decisions.
Always Configure a Fallback Destination
To ensure predictable behavior, always include a fallback transfer option.
If no fallback destination exists, the AI routes callers to the closest available match.
Use Unique Names
If multiple transfer destinations share the same nickname or short name, the AI may select the wrong destination.
Whenever possible:
- Use full names
- Add unique identifiers
- Avoid duplicate nicknames
Test Blank Contact Fields
Missing contact information can affect routing decisions.
Be sure to test scenarios where customer fields are blank and verify that your fallback routing behaves as expected.
Specify After-Hours Availability
The AI does not infer business hours.
If routing should change after hours, include availability directly in each destination's description.
Edit Existing Descriptions Instead of Adding New Ones
If routing is incorrect, update the existing destination description.
Avoid layering additional descriptions on top of one another, as overlapping instructions are one of the most common causes of incorrect routing.
Example: Small Description Changes Can Improve Routing
During testing, the following HVAC support description caused urgent outage calls to be routed incorrectly.
Before
Route here for callers with an existing system that is not working—error codes, reduced output, strange noises, or anything that feels like a malfunction.
After
Route here for callers with an existing system that is not working fully—error codes, reduced output, strange noises, or anything that feels like a malfunction.
Adding the single word "fully" helped distinguish general support issues from urgent emergencies that should instead route to Dispatch.
What to Expect
When properly configured, Conditional Call Routing has demonstrated:
- 100% transfer success rate — Every caller reached a destination.
- 99% explainable routing — Administrators could clearly understand why each routing decision was made.
These results were measured across 120 calls covering 40 different routing scenarios.
Frequently Asked Questions
Why did the AI ask the caller to confirm a person's name?
If multiple transfer destinations have similar names, the AI will often ask the caller for confirmation before completing the transfer. This is expected behavior.
Why did the AI route to the wrong destination?
The most common causes are:
- Overlapping destination descriptions
- Duplicate names or nicknames
- Missing contact information
- No configured fallback destination
Updating the existing destination description is typically the best solution.