← All work
Current engagement

Applied AI systems

Voice pre-sales that qualifies buyer interest before human follow-up

An outbound pre-sales platform that uses approved project context, records a structured call outcome and routes the next action.

Part of Applied AI Systems
Modern residential apartment buildings

The problem

Large enquiry backlogs make it difficult for a human pre-sales team to contact every prospect while interest is still fresh.

What we delivered

  • Built a real-time voice workflow that uses approved customer and project context during the call.
  • Added controlled actions for qualification, lead updates, callback scheduling and salesperson handoff.
  • Created an operations portal for campaigns, call outcomes, callbacks and handoff status.

What is proven

  • The end-to-end voice session can retrieve approved context and execute structured lead actions during a call.
  • Each completed call produces an operational outcome rather than leaving the result only in a transcript.
  • Interested prospects and callback requests enter defined human follow-up workflows with the captured context.

Technical methods

Telephony integrationSpeech recognition and synthesisReal-time agent orchestrationControlled business-system toolsCampaign and lead operations

Scope of this evidence

This evidence covers the current end-to-end voice workflow and its structured handoff. Campaign and commercial-impact measures will follow the agreed production measurement period; customer data remains confidential.