AI Voice Agent for Shopify Stores | ScaleWise VA

Services AI

AI Voice Agent

Conversational AI voice agents for inbound customer calls, outbound cart-recovery, and supplier check-ins. Real-time speech with brand-aligned scripts and full guardrails.

What’s included

  • Use-Case Scoping

    Structured discovery to identify which voice-call workflows are right for AI handling: order status, returns triage, abandoned-cart recovery, supplier confirmations, basic support, and escalation paths to humans.

  • Conversation Design

    Conversational flow design covering intro, intent capture, knowledge-base lookup, decision points, escalation triggers, and graceful exits. Designed for natural-feeling conversation, not robotic call-tree menus.

  • Voice + Language Selection

    Voice selection from premium TTS libraries (ElevenLabs, Cartesia, OpenAI Voice) matched to your brand. Multi-language support where relevant.

  • CRM + Shopify Integration

    Real-time read and write access to your Shopify admin, helpdesk, and CRM. The agent can look up real orders, create tickets, process returns within policy, and log every interaction for review.

  • Guardrails + Escalation

    Hard limits on what the agent can do (no refunds above $X, no policy exceptions, no commitments outside SOP). Confidence thresholds trigger human handoff. Recording and transcript review for every call in the first 30 days.

  • Monitoring + Refinement

    Daily transcript review during launch phase. Monthly retraining based on observed conversation patterns. Performance reporting covering handle rate, resolution rate, escalation rate, and CSAT where measurable.

The service

What it is, and why it matters.

Voice AI has crossed the threshold where a real conversation is indistinguishable from a human one for the first 30 to 60 seconds, and acceptable for routine workflows for the duration of most ecommerce calls. We design, build, and operate voice agents for three primary ecommerce use cases: inbound customer support calls, outbound abandoned-cart recovery, and supplier check-ins or order confirmations. Every agent is built on production-grade infrastructure (Vapi, Retell, Bland, or Twilio Voice depending on the use case), trained on your brand voice, and operates within documented escalation paths that hand off to human staff for anything outside the agent's competence.

Why it matters for your store

Voice is the highest-touch channel in ecommerce, and the most expensive to staff at scale. Brands at moderate volume face an awkward middle ground: too much voice traffic to handle with the founder, too little to justify a dedicated call center. Voice AI fills exactly that gap. Done correctly, it answers the routine inbound calls on its own and hands the ones that need human judgment to your team. Done incorrectly, it damages your brand fast. The discipline is in scoping the use case correctly, training the agent rigorously, and maintaining tight escalation paths.

How we work

How we do it.

  1. Step 01

    Use-Case Audit

    We map your current voice traffic, identify the 3 to 5 conversation types that are highest-volume and lowest-complexity, and scope which to automate first.

  2. Step 02

    Build + Train

    Agent built in your preferred voice platform, integrated with Shopify and your helpdesk, and trained on 50 to 100 sample conversations from your brand voice documentation.

  3. Step 03

    Supervised Launch

    Agent goes live on a subset of calls with every transcript reviewed by our team. Two-week supervised phase to catch edge cases and refine before full deployment.

  4. Step 04

    Scale + Monitor

    Full deployment with ongoing monitoring. Monthly performance reviews and retraining cycles. New conversation types added as volume justifies.

Questions

Common questions.

Will customers know they are talking to an AI?

Best practice in 2026 is to disclose at the start of the call ("Hi, I am the AI assistant for [Brand Name]"). Customers tolerate this far better than catching it mid-call. Some jurisdictions (notably California) require disclosure by law for certain interactions.

What is the cost per call for a voice agent?

It depends on call volume, call length and the platform. You get a per-minute breakdown of model, voice and telephony costs with the quote, so the running cost is known before anything goes live.

Which voice platforms do you build on?

Vapi, Retell, Bland AI, and Twilio Voice (with our own orchestration layer) depending on the use case. We pick per-project based on conversation complexity, integration needs, and cost ceiling.

How long does it take to build and launch a voice agent?

Simple agents (order status, basic FAQ): 3 to 4 weeks. Standard agents with full Shopify and helpdesk integration: 6 to 8 weeks. Complex multi-language or multi-channel agents: 10 to 14 weeks.

What happens if the agent gets something wrong?

Every agent has hard guardrails: no commitments outside SOP, no refunds above policy limits, no policy exceptions. Low-confidence interactions trigger immediate human handoff with full call context. We review transcripts for the first 30 days of any deployment.

Can the agent handle outbound calls too?

Yes, with caveats. Outbound voice AI to consumers raises legal compliance questions (TCPA in the US, GDPR in EU). We help you navigate compliance, but ultimately outbound campaigns require your legal sign-off on consent and disclosure.

  • Alwaz manages our Shopify store as a virtual assistant. I highly recommend him to anyone seeking support within his areas of expertise, he consistently completes tasks efficiently and effectively.

    Memduh G. Store founder and CEO · Upwork

  • Smart suggestions and very responsive. For the first time I am confident my Shopify store is in the right hands.

    Rex M. United States · Fiverr, repeat client

  • Alwaz is efficient, reliable, and proactive. He made our store operations smooth and stress-free. Highly recommended.

    Carey N. United States · Fiverr

Talk it through on a 30-minute call.

Book a 30-minute call and we will scope a voice agent build for your specific call volume and conversation types.