CONVERSATIONAL VOICE AI

A voice AI assistant that completes the job, not just the conversation

Mank Conversational Voice AI listens to the customer on inbound and outbound calls, understands intent, executes transactions in the systems it is authorized to use, and reports the outcome in natural Turkish. When a conversation leaves the rule set, it hands off safely to an agent.

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Conversational Voice AI interface and sound wave illustration

IVR compared with natural dialogue

IVR

1"Welcome to the main menu."
2"For transactions press 1, for information press 2..."
3Customer presses 2
4"For policies press 1, for claims press 2..."
5Customer selects the wrong option
6Back to the menu
7Transfer to an agent

Natural dialogue

1"Hello, how can I help you?"
2"I'd like to check the status of the claim I opened last week."
3Intent and case context are extracted
4An authorized query is executed
5The status is delivered in natural language
6Any follow-up request is handled in the same conversation
7A summary and structured data are written back

IVR remains a predictable structure that still works in many organizations. The difference is that the request is understood through dialogue instead of being fitted into a menu.

Capabilities

Inbound and outbound calls

The same dialogue engine serves both call handling and campaign or reminder calls.

Real-time STT

Speech is transcribed as a stream by the Turkish-specialized model.

Low-latency response

Response time is optimized so it does not break the natural rhythm of the conversation.

Barge-in

When the customer interrupts, the assistant stops and listens to the new input.

Tool and API calls

Authorized queries and transactions are executed during the conversation.

Flexible, rule-bound dialogue

Free speech is supported, but the permitted topics, transactions and phrasing boundaries are defined by the organization.

Human handoff

Handoff includes the conversation summary and the fields collected so far.

Summaries and structured data

Each conversation produces a summary, labels and field-level data.

Scenario and voice customization

Dialogue flow, tone and voice are adapted to the organization's brand language.

Safe fallback flows

A defined fallback behaviour takes over when input is unclear, risky or outside policy.

The five stages of a conversation

01
Listens
Converts speech to text with low latency using Turkish-specialized STT under real call conditions.
02
Understands
Extracts intent, topic and required data fields, and evaluates them against the rule set defined by the organization.
03
Takes action
Runs queries or transactions in your systems through authorized API and tool calls.
04
Responds
Delivers the outcome in a consistent, controlled voice suited to the rhythm of Turkish, and hands off to a human when required.
05
Measures
Makes the conversation summary, structured data and process metrics reportable.

Enterprise integration

The Voice AI layer works over APIs with existing telephony, CRM, core systems and reporting tools. Existing systems do not need to be replaced; integrations are built on least-privilege access.

Integration logos are published only with the relevant party's permission.

Deployment model comparison
Criterion	On-premise	Private cloud	Mank infrastructure in Türkiye
Data control	Data and models stay in the organization's own data centre; access is governed by the organization's own authorization structure.	Runs in the organization's own cloud account, in a dedicated environment governed by the organization's policies.	The service is delivered from Mank infrastructure located in Türkiye; the scope of data processing is defined contractually.
Isolation	The highest level of network isolation; outbound connectivity requirements are defined by the organization.	A tenant-isolated environment; network and identity controls follow the organization's cloud configuration.	Per-organization isolated configuration; access and retention periods are defined per project.
Operating responsibility	Hardware, capacity and operations sit with the organization; Mank provides installation, adaptation and version support.	Capacity elasticity is higher; operational responsibility can be shared between the organization and Mank.	Operations and version management sit with Mank; the organization's infrastructure investment is lowest here.
Best suited when	When data residency and network isolation requirements are the deciding factor.	When scalability and institutional control are both required.	When a fast start and low operational overhead are the priority.

On-premise

Data control: Data and models stay in the organization's own data centre; access is governed by the organization's own authorization structure.
Isolation: The highest level of network isolation; outbound connectivity requirements are defined by the organization.
Operating responsibility: Hardware, capacity and operations sit with the organization; Mank provides installation, adaptation and version support.
Best suited when: When data residency and network isolation requirements are the deciding factor.

Private cloud

Data control: Runs in the organization's own cloud account, in a dedicated environment governed by the organization's policies.
Isolation: A tenant-isolated environment; network and identity controls follow the organization's cloud configuration.
Operating responsibility: Capacity elasticity is higher; operational responsibility can be shared between the organization and Mank.
Best suited when: When scalability and institutional control are both required.

Mank infrastructure in Türkiye

Data control: The service is delivered from Mank infrastructure located in Türkiye; the scope of data processing is defined contractually.
Isolation: Per-organization isolated configuration; access and retention periods are defined per project.
Operating responsibility: Operations and version management sit with Mank; the organization's infrastructure investment is lowest here.
Best suited when: When a fast start and low operational overhead are the priority.

None of the three models is universally superior. The right model follows from the organization's data policy, existing infrastructure, expected scale and operating capacity.

Business value

Value comes from completing repetitive calls without human intervention, shifting agent time to exception handling, and turning every conversation into measurable data. Numerical gain claims are shared only after they are measured in the organization's own operation.

Live Voice AI demo recordings will be added subject to approval. In the meantime, the demo is shown in a one-to-one session.