Contact center.
A cloud contact center with model-native agents — voice and chat, routing, transcription and an AI agent that resolves or assists.
An omnichannel cloud contact center where the AI agent is native — voice and chat, skills-based routing, live transcription and an agent that resolves common cases or assists a human, all under one audit trail.
- Category
- Communications
- Deployment
- Managed → air-gapped
- Governance
- IAM · encryption · audit
Cloud contact centers added channels. The AI agent was always a bolt-on.
The last decade of contact-center software moved voice and chat to the cloud and added omnichannel routing — real progress. But the AI was bolted on: a separate bot product, integrated over an API, with its own model you don't control and an audit trail that stops at the handoff. Aether's contact center makes the AI agent native — it's the same model that runs the rest of your platform, capability-gated, resolving common cases or assisting a human, with one audit trail across the whole contact.
Resolve or assist — and the agent is safe by construction.
Voice and chat agents handle the cases they should and hand off the ones they shouldn't, with live transcription and suggested answers for human agents on everything else. Because the agent is capability-gated, it can only take the actions you've explicitly granted — it can look up an order and issue a credit within a limit, but it can't wander outside that envelope, and every action is logged.
One audit trail, deployable in your boundary.
Sentiment, QA and outcome analytics cover every contact, and because it's on the platform, the conversation, the actions and the model version are one provenance-tracked record — which matters when the contact involves regulated data. It deploys managed or air-gapped, on the same identity and governance as the rest of your estate.
An AI agent that resolves within an explicit envelope, escalates beyond it, and logs everything — the model is native, not integrated.
flow: support
agent: aether-40b (capabilities: lookup_order, issue_credit<=$50)
on intent "refund":
if order.value <= 50: issue_credit -> resolve
else: escalate(human) + summarize + suggest
audit: { transcript, actions, model_version } # one trailThe agent can issue a small credit but not exceed its granted envelope, and the human picks up exactly where it stops with full context. The AI isn't a separate bot wired in — it's the platform model, gated and audited end to end.
Three steps to running.
Design voice and chat flows with skills-based routing.
An AI agent resolves common cases or assists a human live.
Sentiment, QA and outcomes across every contact, audited.
Contact center, in full.
Voice, chat and email with skills-based, priority routing.
Voice and chat agents that resolve or hand off, capability-gated.
Real-time transcription with suggested answers for humans.
Sentiment, QA and outcome analytics across every contact.
Provision it in a few lines.
Every service is reachable from the same SDK, CLI and infrastructure-as-code — one identity, one bill, one audit trail across the whole catalog.
# Provision contact center on Aether Cloud
aether communications create \
--service contact-center \
--name app \
--region us-1 \
--deploy managed # or vpc | on-prem | air-gappedAt a glance.
- Channels
- Voice · chat · email
- Agents
- AI voice + chat, gated
- Assist
- Live transcription + suggestions
- Routing
- Skills-based
- Analytics
- Sentiment · QA
Built for real work.
Customer support
Outbound & collections
Agent assist
On one model, not stitched together.
The usual stack runs contact center in one product, the model in another and the data in a third — and the seams between them are the cost. Aether Cloud runs it on the same platform that serves the model, governs your identity and deploys into your boundary, with the rest of the catalog one hop away.
No stitching a vector DB to one place, a warehouse to another and a model to a third — contact center sits next to the rest of the catalog, one identity, one bill.
The provider that runs Aether runs your contact center — so the data and the model never leave the same governed boundary to talk to each other.
Need a capability that isn’t here yet? The model writes and deploys it into the same boundary — the catalog is a starting point, not a ceiling.
Good to know.
An omnichannel cloud contact center where the AI agent is native — resolving or assisting on the same model, capability-gated, with full audit.
Yes — capability-gated by construction, so it can act only within explicit grants, every action logged.
Yes — live transcription with suggested answers, plus post-contact QA and analytics.
Your boundary, your choice.
Run Contact center on Aether Cloud.
A cloud contact center with model-native agents — voice and chat, routing, transcription and an AI agent that resolves or assists. Deployable managed, in your VPC, on-prem or fully air-gapped — talk to us about the configuration your workloads and your boundary require.