◆ Solutions · Sales / SDR
AI reps with a real face.
Atlas provides the face layer for outbound and qualification experiences while your stack controls the conversation.
◇ Problem
Why current solutions fall short.
- Voice-only experiences do not provide the visual cues of a video call
- Pre-rendered avatar video cannot adapt to a live conversation
- Per-seat avatar licensing may not fit usage-based outbound volume
- Automated demos still need application-level guardrails and human handoff
Stack-level cost: every blown demo is a real human-minute and a delayed pipeline opportunity.
◆ How Atlas fits
An AI SDR with the trust profile of a real video call.
- Run inbound 'book a demo' through a video qualification call
- Outbound dial-and-pitch with a live AI rep on screen
- Live product walkthrough: avatar narrates while sharing screen
- Group demo / webinar with one GPU stream, many viewers
- Hand off to a human with the conversation context when the lead converts
◆ Deployment rationale
Realtime rendering can add a visual layer to qualification and product-demo flows.
- Per-second billing matches volatile outbound volume
- Live demo mode: avatar walks the prospect through your product
- Multi-viewer mode: one render stream into many viewers (group demo, webinar)
- Bring your own LLM, voice clone, and CRM tools
- Hand off to a human through your existing sales workflow
◆ Integration shape
What it actually looks like in your codebase.
01
Pair with your CRM
Trigger sessions from your existing dialer / scheduler / inbound router.
02
Wire your stack
Your STT + LLM + TTS power the conversation. Atlas is the visual layer.
03
Pick the rep
One avatar per persona, or a roster mapped to industry vertical.
04
Ship outbound
Embed the WebRTC experience in your browser-based sales flow.
◆ What to measure
The metrics that prove this is working.
Median session length vs voice-only
Compare against your existing voice-AI baseline; track time-on-call as a proxy for engagement.
Qualification rate
Compare the video experience against a voice or chat control.
Render cost / minute
$7/hr prorated to the second. Outbound spend lines up with actual talk-time.
We don't publish customer numbers. The right comparison is against your existing baseline, your STT, your LLM, your voice, your traffic.
◇ FAQ for this use case
The questions that actually come up.
Will the prospect think it's a real person?
We require AI disclosure in our Terms of Service. The avatar is realistic enough to hold attention; the goal is engaged, transparent AI, not deception.
Can we use a real employee's likeness?
Yes, with documented consent from the employee. Public-figure / unauthorized-likeness use is prohibited under our terms. See /safety for the full policy.
How do we handle warm handoff?
Keep handoff orchestration in your application. End or mute the avatar session, pass the transcript and CRM context to your human rep, and move the customer into your existing call flow.
What about call recording / compliance?
Recording happens in your stack, not ours. We don't retain WebRTC frames. Disclosure language and consent capture sit on the customer side, same as a human-led call.
Ready to ship?
Email if you want async, book if you want a structured call. We'll follow up to discuss fit and requirements.