An AI support agent trained on your business, not the internet
Most support volume is the same twenty questions on repeat. Your AI support agent answers them instantly on phone and chat from your own docs and policies, and hands the hard cases to your team with the whole story attached.
Runs in your cloud platform or in ours. Voice agents run on Refract, our own platform.
The job your AI Customer Support Agent shows up for.
Your playbook only
It answers from your approved knowledge base, and says so when the answer is not there.
Phone, chat, email
One brain across every channel, so customers get the same answer everywhere.
Clean escalation
Edge cases reach your team with the transcript and context, not a customer starting over.
Policy stays policy
Refunds, exceptions, and account changes follow rules you set. Past the line, a human decides.
Root-cause visibility
It tracks what customers actually ask, so you can fix the causes instead of the tickets.
Every conversation logged
Searchable transcripts in your helpdesk, so quality is something you can audit, not assume.
How the AI Customer Support Agent runs, end to end.
Every agent we build starts as a blueprint like this one: the exact path a conversation takes through your business, agreed with you before we build it.
Customer reaches out
Phone, chat, or email. The agent answers immediately on all of them.
Issue identified
It works out what the customer needs before proposing anything.
Resolved from your playbook
Known issues get accurate answers from your approved knowledge base.
Escalated with context
The hard cases reach your team with the full story attached.
Patterns reported
You see what customers ask most, and what to fix at the root.
Works with what you already run.
No rip and replace. The agent connects to the systems your business already lives in, and every conversation it has is logged where you can see it.
- Your helpdesk
- Your phone system
- Website chat
- Your order and account systems
- Slack escalations
The platform underneath
Runs on Refract, the voice platform we built and operate.
We did not bolt a chatbot onto your phone line. Refract runs script-controlled conversations with real tool calls into calendars and CRMs, warm human handoff with context preserved, and a full transcript of every call. It is built by the same team that ships the AI sales agent and live call coaching inside Luminary Life's insurance CRM and runs realtime voice in production at Tavern Scribe.
Talk to a live Refract agent at refract.hostStrategy to execution, in four phases.
Anyone can demo a voice agent in five minutes. Getting one you can trust with your customers is engineering, and it runs through the same four phases as every LOJI build.
Estimate
We scope your AI Customer Support Agent against your real call flows, systems, and volume, and map exactly what it will take before you commit to anything.
Validate
You hear the agent and approve its script, voice, knowledge base, and escalation rules before it ever talks to a customer.
Build
We build the agent, wire it into your calendar, CRM, and phone, and test real conversations with you until it earns the job.
Support
We stay on after launch. Transcripts get reviewed, answers get tuned, and the agent stays current as your business changes.
What owners ask before hiring this agent.
Will it make things up?
It is built to answer only from your approved knowledge base and to hand off when the answer is not there. That constraint is engineered in, not hoped for, and transcripts let you verify it on every conversation.
Can it issue refunds or change accounts?
Only inside rules you define. Anything past the line goes to a person, every time. You decide where the line is, and the agent's tool permissions enforce it.
How does it learn our business?
We build its knowledge base from your docs, site, and real tickets, then review its answers with you before launch. After launch, the questions it could not answer become the list of what to add next.
What happens to the conversation data?
Transcripts and summaries land in your helpdesk and stay yours. The agent itself deploys in your cloud platform or in ours, and it only reads the systems you scope to it.
Ready to put a AI Customer Support Agent to work?
Tell us how your business handles this today and we will map the agent, the workflow blueprint, and what it takes to run it in production.