AI That Makes and Takes Calls So Your Team Does Not Have To.

AI voice agents are the fastest-growing segment of conversational AI and the highest-ROI application for businesses with high call volumes, routine qualification flows or after-hours coverage gaps. We design, build and deploy voice agents on Bland, Vapi and Retell that handle inbound and outbound telephone conversations at scale. Every agent is purpose-built for a specific use case, tested across diverse conversation paths and integrated with your CRM, calendar and telephony stack before going live.

• Inbound calls go unanswered after hours or during peak periods. You are losing leads to voicemail because no one is available to pick up.
• Your SDR team spends a significant portion of their time on follow-up calls that are routine and script-driven. They could be focused on complex conversations that require human judgement.
• You have a large list of leads or trial users who need to be contacted but not enough calling capacity to reach them at the speed required to capture them before they go cold.
• Customer support call volumes are high for tier-1 queries that could be resolved without human involvement. Your support team is handling a high proportion of simple, repetitive calls.
• You are expanding into new markets or adding new service lines that require outbound calling capacity you cannot hire fast enough to fill without a significant ramp period.

• Conversation design document: call objective, branching logic, objection paths, escalation triggers and success criteria
• Fully configured voice agent on Bland, Vapi or Retell with selected voice profile and tested conversation script
• CRM integration (HubSpot, Salesforce or Pipedrive) to log call outcomes, create contact records and trigger follow-up workflows
• Calendar integration for direct appointment booking into your sales team's availability without manual scheduling
• Compliance configuration: AI disclosure statements, opt-out flows, call recording consent and GDPR-compliant data handling
• Monthly performance report covering call volume, completion rate, qualification rate, booking rate and escalation rate

AI Voice Agent

An AI voice agent is an autonomous software system that conducts real telephone conversations using natural language processing and text-to-speech synthesis. Unlike IVR systems that navigate callers through fixed menus, voice agents participate in open conversations that adapt dynamically to what the caller says, guided by an LLM backbone and a configured conversation design.

Latency

In voice AI, latency is the delay between the caller finishing speaking and the agent beginning to respond. Human conversations have a natural response latency of 200 to 400 milliseconds. Voice AI platforms like Vapi and Retell target sub-500ms latency to make the conversation feel natural. High latency (above 1 second) creates an unnatural pause that signals to the caller that they are speaking with an automated system.

Conversation Branching

Conversation branching is the logic that determines how a voice agent responds to different inputs during a call. A well-designed conversation flow anticipates the most common caller responses and objections and has specific paths for each. The LLM backend handles responses that fall outside the anticipated paths, with configurable thresholds for escalating to a human agent.

Human Handoff

Human handoff is the transfer of a call from an AI voice agent to a human agent when the conversation reaches a defined escalation trigger. Triggers include: caller requests a human, agent encounters a question outside its knowledge domain, the caller expresses distress, or a high-value qualification threshold is reached that warrants immediate human follow-up. Handoff can be warm (the agent introduces the human to the caller) or cold (transfer to a queue).

Call Completion Rate

Call completion rate is the percentage of initiated calls that reach the intended outcome: a booked appointment, a completed qualification, a resolved support query. It is the primary success metric for outbound voice agent campaigns, alongside call-to-meeting rate for appointment setting use cases. A well-configured agent targeting the right list typically achieves completion rates between 15 and 35 percent depending on use case and list quality.

TTS (Text-to-Speech)

Text-to-speech is the technology that converts the agent's text responses into spoken audio for the caller. Modern TTS platforms including ElevenLabs and OpenAI TTS produce highly natural-sounding voices with controllable tone, pace and emotion. Voice selection is part of agent design: different voices perform differently for different use cases, caller demographics and brand personalities.