Tevon Arc Inc builds AI customer service systems that understand your products, your policies and your customers — then act. Across chat, email and voice, around the clock, with a clean handoff to your team whenever a human is the right answer.
We do not ship a generic chatbot. Every deployment is grounded in your catalogue, your policies and your tone of voice — and measured against the metrics your support leaders actually report on.
LLM-powered agents that hold a real conversation — ask clarifying questions, follow your escalation rules and take action in your systems instead of pointing customers at a help article.
Retrieval systems built on your real source material — help centre, macros, tickets, PDFs, internal wikis — with the ingestion pipeline and evaluation harness to keep answers accurate as content changes.
Automation only works when it knows its limits. We design the confidence thresholds, routing and context passing so your agents pick up a conversation fully briefed, never from scratch.
Every conversation is structured data. We wire up the dashboards that show deflection rate, containment, CSAT movement and cost per contact — so the investment can be defended with numbers.
An agent is only as useful as the systems it can reach. We connect your helpdesk, commerce platform, CRM and back office through secure, scoped integrations.
Guardrails, audit trails and privacy controls designed for regulated environments — including data residency, redaction and full conversation logging for review.
Platform design targets. We agree the baseline with you during discovery and report against your own measured results.
We deliberately start narrow. One channel, one high-volume intent, measured properly — then expand from evidence rather than optimism.
We review your ticket history, channels and knowledge sources to find where automation earns its keep.
We build the knowledge pipeline, the agent and the integrations, then run it against your historical conversations.
The agent works alongside your team in shadow mode. We tune thresholds until quality holds before it ever speaks to a customer.
We go live, monitor, and expand intent coverage from the deflection and CSAT data you can now see weekly.
A lot of AI support projects stall between a convincing prototype and a system that survives contact with real customers. We build for the second one.
Every guardrail and threshold is validated against your own historical tickets before launch.
We integrate with the helpdesk, CRM and commerce platforms you already run. No forced migration.
Confidence thresholds, fallbacks and human handoff are part of the architecture from day one.
Prompts, pipelines and evaluation suites are delivered into your environment and your repositories.
| Stage | Focus | Typical horizon |
|---|---|---|
| Audit | Intent and volume mapping | 1–2 weeks |
| Pilot | One channel, top intents | 3–6 weeks |
| Shadow | Parallel-run tuning | 2–4 weeks |
| Production | Live deflection & scaling | Ongoing |
Indicative timelines. Scope is agreed after the discovery audit.
Send us a sample of your ticket history and we will show you which intents are automatable, what it would take, and what it would save.