AI Calling PaaS

Your voice application. A technical partner for implementation.

Connect TeleAI speech and runtime capabilities with your own models and business logic. We work with your technical team on integration scope, conversation testing, diagnostics, and rollout requirements—while application decisions remain yours.

Discuss Your Integration Technical documentation

YOUR APPLICATION, CONNECTED

Bring your model and business logic. Define the voice layer together.

AI Calling PaaS connects TeleAI voice capabilities to the application your team controls. Start with the customer interaction you want to support, then map the application, call lifecycle and operating requirements before choosing an integration approach. Our technical team participates in setup, joint testing and launch validation.

Your model and application

Bring the model, prompts, knowledge and business rules you intend to use. Your team controls their changes and decides which information the application may return to a customer.

THE PLATFORM STACK

Five layers. One foundation for your voice application.

Compose the voice infrastructure and runtime around the intelligence, tools, and business rules your team controls.

Inbound calling
Outbound calling
SIP
Call control
Concurrency
Number management

THE APPLICATION CONNECTION

Connect an outbound conversation to your application.

After an outbound call connects, pass the customer response to your application, apply your business logic and return the next spoken reply.

Receive recognized speech
Process the response event and its responseId alongside your application context.
Choose the next action
Apply your model, business rules, and permitted tools to prepare a response.
Return speech playback
Send the play event with the responseId and completion flags. Handle interruptions and call completion in your application.

View integration documentation

Outbound follow-up · WebSocket events

// Outbound follow-up: the customer requested a demo; the call is connected.
// AI opening: "Hi, I am an AI assistant calling about your demo request. Is now a good time?"
// <-- TeleAI platform -> your LLM: user speech recognized (ASR)
{
  "eventCode": "response",
  "callId": "c_8f31a2",
  "createTime": 1772084871,
  "data": { "responseId": 12, "content": "Yes, I would like a demo tomorrow afternoon.", "intent": 0 }
}

// --> your LLM -> TeleAI platform: stream the reply, spoken via TTS
{
  "eventCode": "play",
  "createTime": 1772084873,
  "data": { "responseId": 12, "content": "Thanks. I will pass your preferred time to our team to confirm.", "emotion": "calm", "completed": 1, "endCall": 0 }
}

Illustrative exchange after an outbound call connects, not a call-creation API request. The AI follows up on a demo request and records a preferred time for the team to confirm. See the documentation for the complete protocol.

TEST THE WHOLE CONNECTION

A working connection is more than a successful response.

Use representative outbound interactions to test the contract between TeleAI and your application. These are validation scenarios, not new API definitions; the protocol example remains the implementation reference.

Call lifecycle & state validation

An outbound follow-up connects. The customer asks to continue the conversation later rather than discuss the offer now.

Sample utteranceCould you call after six?

Test input: Customer requests a later callback
Verify: Speech → application → playback → call end
Acceptance evidence: Expected events and agreed state changes

Validation method

Trace the recognized speech into your application, inspect the reply returned for playback and verify how the callback preference is represented in the agreed state. Confirm that the call ends cleanly and the application receives the expected events.

Acceptance record

An agreed field mapping and a tested event sequence. A callback preference is not a completed callback; scheduling ownership is defined separately.

Dependency failure & recovery validation

The application needs an approved business lookup during a conversation, but the dependent service is slow or unavailable in the test environment.

Test condition: A dependent service is unavailable
Safe response: Use the agreed fallback; do not claim success
Follow-up owner: Named application and integration contacts

Validation method

Jointly test timeout handling, the agreed fallback response and the diagnostic information available to each team. Your application must not turn an unavailable lookup into a claim that a payment, approval or booking has succeeded.

Acceptance record

A reproducible issue record, a named technical owner and a retest criterion. Recovery behavior and release approval stay explicit.

IMPLEMENTATION ARTIFACTS

A shared basis for launch and troubleshooting.

Agree the technical deliverables and acceptance conditions before rollout. AI Calling PaaS supports implementation collaboration; a fully managed customer operation is a separate service scope.

Integration specification

Document the connection path, agreed fields, tool permissions and responsibility boundaries so both teams work from the same contract.

Joint test record

Capture normal conversations, interruptions, endings and exception cases, together with expected behavior and unresolved issues.

Release and support handover

Name the release approvers, the diagnostic evidence to share and the escalation path. Retest affected interactions when models or application logic change.

CLEAR OWNERSHIP

TeleAI provides the platform. Your team builds the application.

Separate runtime execution from business decisions so integration, testing and support have clear owners.

Operate the voice execution layer

TeleAI

Provide the supported call and speech runtime used by your application.
Execute supported state transitions and tool calls under the instructions and permissions your application supplies.
Expose runtime events and diagnostics for integration and joint issue investigation.

Own application behavior and release decisions

Your technical team

Select the LLM, prompts and knowledge; define business rules, state meanings and outcome criteria.
Implement tools and system connections, grant permissions and decide when human transfer or recovery is appropriate.
Evaluate the complete application, approve releases and own business-system errors and application support.

Your application defines model behavior, tool permissions and human handoff conditions. Supported routing and execution are agreed during integration.

PRODUCTION READINESS

Validate the complete system before expanding.

Evaluate the platform together with your model, application, and operating requirements.

Markets and capacity

Review destinations, number availability, inbound and outbound routing, expected traffic, and peak concurrency.

Conversation quality

Test languages, accents, voices, interruptions, tool failures, and the full response path across ASR, LLM, network, and TTS.

Data and observability

Agree recording access, retention, monitoring, structured results, and debugging responsibilities.

Launch and support

Confirm issue ownership, escalation contacts, service terms, and the acceptance checks required for rollout.

01 / 03

Capacity, performance, availability, and service requirements are reviewed for your application and target markets.

Before you integrate

Can we keep our own model and application?

Yes. AI Calling PaaS is designed around connecting voice capabilities to your application. You retain control of the model, business logic and release decisions; integration details are validated together.

Does AI Calling PaaS include full business operations?

No. Technical integration, joint testing and issue collaboration are agreed for AI Calling PaaS. Audience operations, campaign execution and business optimization can be discussed as a separate operating scope.

Are the protocol examples ready-made business actions?

No. They illustrate the speech-event contract. Your application must validate permissions, tool responses and business state before confirming any action to a customer.

What should we prepare for an integration review?

Bring your intended workflow, model/application architecture, target languages, expected traffic and required system connections. We will identify the test cases and ownership needed for a practical pilot.

Build the operating plan with us.

Share your goals, customer context, and current process. We will agree the scope, responsibilities, and measures with your team.

Discuss Your Integration

Your voice application. A technical partner for implementation.