Long Wait Times
Peak periods overwhelm human teams, leading to queues, dropped calls and frustrated customers who needed a quick answer.
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Inbound Support
24/7 AI Support for Every Inbound Call
Handle peak traffic, after-hours requests, and repetitive issues automatically and consistently.
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Traditional Call Centers Break Under Scale
Inbound support teams face growing queues, staffing costs and repetitive requests. Customers call because they need answers—not another hold queue or a call back later.
Callers answers approved inbound requests, reads relevant records in connected systems and resolves supported tasks during the conversation. More complex cases reach your team with the context to continue.
Headcount Doesn’t Scale
Every rise in call volume brings more hiring, training and management pressure, making front-line coverage expensive to expand.
Repetitive Issues, Inconsistent Answers
Agents repeat the same Tier 1 answers all day, while customers can get different information depending on who takes the call.
Low Visibility Into Why Customers Call
Call counts don’t tell you which issues repeat, what customers need or where support workflows break down.
What Your AI Inbound Support Agent Can Do
Answer Every Call Without The Queue
Callers picks up supported inbound calls promptly, even when agents are busy or your service desk is closed. Customers can speak naturally rather than navigating a phone menu.
The AI handles repetitive requests within its approved scope, while your team concentrates on calls that require a person.
Understand The Customer In Context
With permissioned access to connected CRM, order, billing and support records, the agent can respond based on the caller’s actual account and recent interactions.
It asks clarifying questions when needed and avoids making callers repeat information the business already holds.
Resolve Routine Requests With Live Data
For supported workflows, the agent can check an order, answer a billing question, update a service ticket or complete another authorized action through your connected systems.
The aim is to finish straightforward work in the call, rather than simply recognize intent and transfer the customer to a queue.
Transfer Complex Cases With Full Context
When the request needs human judgment or falls outside the configured workflow, the agent transfers the call using your routing and escalation rules.
Relevant caller intent and conversation context accompany the handoff so customers don’t have to start again.
Learn From Every Support Conversation
Conversations are summarized and categorized so you can see recurring issues, reasons for contact and unresolved requests across your supported channels.
Use those patterns to refine approved knowledge, escalation paths and automations—not merely count answered calls.
Inbound support results that give your team capacity back
65%
lower call-center load
Automate routine inbound conversations so fewer calls need to reach human agents.
25–30%
incoming calls automated or triaged
Handle repetitive driver requests through AI, with human support available when needed.
~30%
less agent workload
Free support teams from routine requests so they can focus on more complex conversations.
$65K+
annual savings
Reduce service costs by automating recurring inbound calls and driver support.
24/7
inbound coverage
Keep supported inbound conversations running during busy periods, weekends and after hours.
Up to70%
cost savings
Reduce the cost of high-volume support by automating repetitive conversations.
Examples from different customer deployments; results depend on workflow, call mix, integrations and reporting window.
Connects to the tools
your team already uses.
With 610+ native integrations, Callers works with your CRM, helpdesk, order, billing and scheduling systems. Read customer information, take permitted actions and write outcomes back where your team expects them.
Traditional Inbound Support vs Callers AI
Compare what happens when routine incoming requests can be answered and resolved automatically, while people stay available for complex situations.
| What changes | Traditional inbound call handling | Callers AI |
|---|---|---|
| Availability | Coverage depends on staffed hours or voicemail. | An AI agent can answer supported calls across dayparts, including overflow. |
| Peak traffic | Calls queue, hold or abandon as volume increases. | AI handles additional routine conversations within configured capacity. |
| Caller context | Staff may search several systems manually. | Connected data can provide relevant account and order context. |
| Routine resolution | Staff repeatedly answer Tier 1 requests. | Supported AI answers and permitted actions finish routine work during the call. |
| CRM/tickets | Notes may be re-entered or routed manually. | Authorized call outcomes can update connected records. |
| Complex questions | Staff escalate with varying context. | Configured warm handoff sends a request summary with the call. |
| Consistency | Answers vary by agent or shift. | Approved knowledge and policies support consistent responses. |
| Reporting | Volume tells little about why callers contact you. | Summaries and outcomes reveal repeated requests and drop-off points. |
| Staff focus | People juggle repetitive and sensitive calls. | People focus on complex, sensitive or high-value interactions. |
| Governance | Policies and handoffs depend on training and review. | Permissions, actions and escalation paths are configured and tested. |
Launch an AI inbound support flow in three steps
Start with the common requests you want to resolve, connect the relevant records, and test escalation paths before expanding coverage.
Choose what the AI handles
Identify the top repetitive call reasons, approved answers, required identity checks and when the agent must bring in a person.
Connect and test your systems
Connect phone routes, CRM/helpdesk records and permitted actions. Test real inquiries, edge cases, handoff and fallbacks.
Launch, measure and improve
Launch a defined inbound flow, review resolution and escalation outcomes, and refine the knowledge and rules as needs change.
Trusted by leading businesses worldwide
“Agents hated outbound. Now they talk to people who want to talk. Morale is up.”
Ben Frasher, Director of Acquisition & Growth
“We were up and running faster than expected and started seeing measurable results within the first week.”
Chelsea Thompson, Director of Operations
“Callers cut our call center load by 65% and 10X our outreach with significantly better results.”
Rob Stevenson, Vice President
”We increased the number of qualified appointments by engaging prospects faster.”
Maria Gomez, System Administrator
”Callers cut our call center load by 65% and 10X our outreach with significantly better results.”
Justin Kahn, Head of Digital Innovation
Frequently asked questions
Callers can answer approved questions, use connected customer records and complete configured tasks such as checking an order or updating a supported ticket. The exact scope depends on your integrations, policies and permissions.
Set escalation rules for sensitive, complex or unsupported requests. The AI can transfer the call with a summary and relevant context, helping the next agent continue without starting over.
Yes, with supported integrations and configured access. The AI can retrieve permitted customer information and update approved records during a call. Your team decides which systems and actions are enabled.
Yes. Supported inbound conversations can run outside staffed hours and during call spikes. Your team controls which requests the AI resolves, when it escalates and what should happen if a human is unavailable.
Define approved knowledge, authentication requirements, business policies and action permissions. Test common and exceptional calls before launch, then review outcomes and refine the configured workflow.
Track the proportion of supported calls resolved, escalation reasons, repeat-contact patterns and customer feedback. Compare results with the same scope and reporting window used for your previous support process.
Make the right call
Try Callers now and see what kind of interactions your customers could be having.
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Cassie
(Female AI Agent)
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Paul
(Male AI Agent)