
Conversational AI & Lead Capture
Saizen Voice Agent
Sep 2025 – Sep 202524/7Availability target
ZeroMissed-call target
Overview
I built the Saizen voice-agent concept to answer inbound calls immediately, qualify leads while the conversation is happening, capture intent, and route useful opportunities into the sales pipeline without making a serious prospect wait for somebody to become available.
What It Delivers
- Immediate inbound-call answering.
- AI-led lead qualification and intent detection.
- Structured capture of caller details, needs, urgency, and commercial value.
- Automated follow-up after the conversation.
- CRM-ready handoff for qualified opportunities.
- Twenty-four-hour coverage without conventional staffing limits.
What I Did
- Structured the call flow, qualification logic, intent model, lead-capture fields, follow-up process, and CRM handoff.
- Designed the system around speed, consistent questioning, and preservation of caller context.
- Connected the voice workflow to the wider Saizen automation architecture.
Outcomes
- Missed calls can be converted into recorded opportunities.
- Qualification begins at the moment demand appears.
- Human teams receive structured context instead of unprocessed call notes.
- Response speed becomes part of the commercial system.
Proven Impact
- Designed for zero missed inbound calls.
- Response time faster than conventional manual call handling.
- Higher potential lead-capture rates from existing traffic.
- More qualified conversations passed into the pipeline.
Why It Matters
- Revenue often leaks when demand appears outside staff availability.
- The system captures attention before it decays.
- It turns responsiveness into a structural advantage.
Answering a call is easy when the right person happens to be free. The engineering problem is making availability, consistency, context capture, and commercial usefulness survive every single time the phone rings.