Build multilingual calling agents with configurable voice and business workflows
Bolna AI is a platform for building voice agents that handle telephone conversations and connect those conversations to business workflows. Its positioning emphasizes Indian languages and multilingual calling, including mixed-language conversations such as Hinglish. A business can configure an agent through the dashboard, while developers can use documented interfaces to incorporate calling into an existing application.
Agent setup involves instructions, the information the agent may use and the actions it may perform. Templates offer a starting point, but a production agent needs business-specific boundaries. For example, an appointment workflow should distinguish checking availability from confirming a booking, and a support workflow should identify when a human must take over. Bolna documents live tool calling, allowing an agent to retrieve information or invoke an authorized business function during a conversation.
The platform offers a configurable stack of speech recognition, language-model and speech-synthesis providers rather than one fixed voice model. Its documentation includes telephony connections such as Twilio, Plivo and Vobiz. Integration routes through n8n, Make and Zapier support workflows beyond the call itself. These choices matter because language quality, latency and the total cost of a conversation depend on the selected components and the task being performed.
Bolna supports inbound and outbound use cases, including campaigns and human transfers. Initial testing should use approved test numbers and cover interruptions, unclear answers, language switching and failed tool requests. The pricing page provides introductory credits and prepaid usage, with volume packages and enterprise arrangements for larger deployments. Introductory credit is a finite allowance, not an unlimited free calling plan. Before launch, the business should review the actual call records, configure escalation and establish consent and contact rules appropriate to its audience. A realistic pilot measures completed tasks and correct actions as well as whether the voice sounds natural. That approach makes it easier to identify operational problems before expanding the campaign.
