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Elevate – Transforming Audience Acquisition with AI Voice Automation

Case Study of AI Voice Automation for Audience Acquisition
Elevate, a technology platform for startup growth, struggled with resource-intensive manual outreach that couldn't scale with its expanding programs. Aivar built an AI-powered voicebot on AWS Bedrock, WebRTC, and Deepgram STT that automates participant outreach from first contact through follow-up. Anthropic's Claude, accessed through Bedrock, provides the reasoning layer for the voice agent — generating the conversational scripts it speaks from and deciding what to say next at each turn. The result: a 60% improvement in outreach efficiency, 250 concurrent voice sessions, and a 72% automation rate.
Importance
Customer Challenge

Elevate operates as a technology platform dedicated to accelerating the growth of startups and enterprises through curated access to capital, mentorship, and business opportunities. The company specialises in building a collaborative ecosystem that connects founders, investors, corporates, and partners, with a particular focus on supporting innovation-driven businesses in the technology sector. As Elevate’s portfolio of accelerators, masterclasses, and networking events grew, the company faced a critical challenge: scaling audience acquisition and engagement efficiently. Manual outreach by human callers was resource-intensive, inconsistent, and unable to keep pace with the expanding number of programs and participants. This resulted in missed growth opportunities, lower participation rates, increased labor costs, and limited ability to personalize engagement or capture actionable data.

Solution

Aivar partnered with Elevate to design and deploy an AI-powered voicebot that automates participant outreach, personalizes each conversation, and plugs directly into Elevate'sprogram management systems. Claude, running on Amazon Bedrock, acts as thereasoning layer behind the voicebot — it interprets what each participant says, decides thenext best action, and generates the conversational script the agent speaks from in real time.That means the actual language the agent uses to open a call, qualify a participant, answerquestions, and close with a clear next step is written and adapted by Claude, giving Elevatescripts that read as natural, on-brand, and consistent across every one of the thousands ofcalls the system handles.‍

By automating the full outreach cycle, from first contact to follow-up, Elevate can now scale audience acquisition without scaling headcount, hold a consistent quality bar across every conversation, and adjust outreach strategy in near real time based on what the analytics show.

Architecture

The solution is built as a modular, real-time voice assistant, combining AWS-native services and best-in-class third-party APIs for speech and language processing. Users interact via web or mobile clients using WebRTC for low-latency, full-duplex audio. The architecture includes:

  • WebRTC Media Layer: Real-time audio streaming between users and backend, hosted on Amazon EC2 and integrated with Twilio for signaling.  
  • Voice Processing Pipeline: Voice Activity Detection filters silence; Deepgram STT provides high-accuracy, low-latency transcription; conversation state is managed for context-aware interactions.
  • Conversational AI: Amazon Bedrock hosts Anthropic's Claude models, which serve as the reasoning layer for the voicebot — generating and adapting the voice AI scripts in real time and producing contextual, on-brand responses, with prompt caching for speed and consistency.
  • Reasoning Layer: Using Anthropic Claude on Amazon Bedrock as the reasoning layer for conversational AI enables enterprises to build secure, multi-step agentic workflows. Bedrock provides access to state-of-the-art Anthropic models through a consistent API, and is used to handle intent recognition, entity extraction, natural language generation, decision-making on next-best-action, and coordination of tool use with Elevate's external systems — letting the agent understand natural language while keeping the structured, reliable decision-making enterprise conversations require.
  • Tool Orchestration: Dynamic API integrations enable real-time task execution and action-oriented replies.
  • Voice Output: ElevenLabs TTS delivers lifelike, expressive speech, streamed back to users.
  • Post-Call Analytics: Transcripts are processed for insights and logged to CRM systems, enabling continuous improvement.
  • Security: All data transmission is secured with TLS/SSL, and infrastructure is provisioned via Terraform for reproducibility and compliance.
Key Outcomes
  • Scalability: The system supports 250+ concurrent voice sessions, a significant leap from the previous 30-call IVR baseline.
  • Automation: 72% of inbound calls are now fully handled by the AI assistant, surpassing the 60% automation target and freeing human agents for higher-value tasks.
  • Speed & Accuracy: Real-time transcription and response generation occur in under 2 seconds, with over 95% word accuracy, even in noisy environments.
  • Script Quality & Consistency: Claude-generated scripts keep tone and messaging consistent across every call, without the drift that ad-hoc human scripting can introduce.
  • User Engagement: Lifelike TTS voices increase user satisfaction and repeat interactions.
  • Cost Efficiency: Leveraging managed APIs and serverless orchestration reduces development and operational costs, with predictable, usage-based pricing.
  • Rapid Deployment: The solution was implemented and operational within 6 weeks.

Aivar's AI voice automation solution (Convogent AI), powered by Claude on Amazon Bedrock as the reasoning layer, has enabled Elevate to scale its outreach, enhance participant engagement, and achieve operational excellence — solidifying its position as a leader in innovation enablement for startups and enterprises.

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