Customer Communication Automation
Customer communication automation with a human in control of risk.
Answer inbound messages with governed AI. Aurevia builds communication systems that read context, handle routine enquiries end to end, draft careful replies, and escalate anything risky to a person — so customers get fast answers without anyone losing control.
The problem
The hard part isn't replying — it's knowing when not to.
Inbound messages arrive at all hours and demand context, judgement, and a fast reply. Handled by hand, they pile up, get inconsistent answers, or wait until someone is free.
Naive automation is worse: it replies confidently to things it should never touch. A communication system earns its place by knowing the difference — handling the routine instantly and escalating anything that needs a person, every time.
How the system works
From raw input to a governed, logged result.
- 01
Receive across channels
Email, SMS, and web-chat messages enter one governed pipeline, so the same logic applies no matter how a customer reaches you.
- 02
Check context and history
The system pulls conversation history and looks up the relevant records — such as a lease or account — before it decides anything.
- 03
Decide with guardrails
A decision step classifies each message: reply automatically, continue carefully, or escalate. The boundaries are explicit, not implied.
- 04
Draft and clean the reply
Routine messages get a drafted, cleaned response, and a summary is generated for the record.
- 05
Escalate when a human must decide
Risk cases, unclear intent, and policy boundaries hand off to a person — with full context attached, not a cold ticket.
- 06
Persist and log everything
Every conversation is persisted and logged, with fail-soft behaviour whenever the system is uncertain.
What you get
Routine messages answered instantly, around the clock
Risk and ambiguity escalated to a person — never auto-answered
A persistent record of every conversation and decision
A communication layer that holds up under real-world messiness
Proof of work
Proven with FieldAgent
For FieldAgent, we built a property-operations communication layer that checks context, handles routine messages, continues carefully, and escalates when human control is required.
It replaced a core workflow with a persistent conversation layer and explicit AUTO_REPLY / CONTINUE / ESCALATE decisions — with fail-soft behaviour so an uncertain case is always handed to a person, never forced.
Questions
Customer communication automation, in short.
Will it send wrong or risky replies?
The system is built to escalate rather than guess. Anything outside its guardrails goes to a human, and fail-soft is the default whenever it's uncertain.
Which channels does it support?
Email, SMS, and web chat, with a single consistent decision layer behind all of them.
Can it use our own records and knowledge?
Yes. It looks up your records and conversation history to ground every response in real context rather than generic answers.
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ExploreBring us one workflow. We'll map the system underneath it.
Pick the process your team keeps doing by hand. We'll return its inputs, decision points, failure modes, and the automation layer that makes it operational — concrete, not conceptual.