# AI agents that do the work, not the demo.

> Custom AI agents that act on your systems: support, sales, ops and back-office. Built by senior engineers, measured with evals, in production in 30 days. You own the code.

URL: https://ai.arcvs.tech/en/services/ai-agents · Português: https://ai.arcvs.tech/pt/servicos/agentes-de-ia.md · ARCVS AI: https://ai.arcvs.tech/en.md

Agents that read your tickets, query your databases, call your APIs and close the loop, with a human in the loop wherever it matters. Prototype in week one. Production pilot in 30 days.

- **Week 1**: Prototype on your data
- **Day 30**: Production pilot
- **100%**: Yours: code & weights

## Chatbots answer. Agents finish.

A chatbot pasted on your site doesn't change your numbers. An agent with tools, memory, permissions and an escalation path does. We design the tool surface, the guardrails and the evals, then wire the agent into the systems your team already uses.

## What we build

- **Support resolution agent**: Reads the ticket, checks the order, issues the refund within policy, writes the reply. Escalates the edge cases with a summary attached.
- **Sales & SDR agent**: Researches inbound leads, enriches the CRM, drafts a personal first touch and books the call. Your reps start every day with a qualified list.
- **Ops & back-office agent**: Reconciles invoices, chases missing documents, files the boring forms. Every action is logged and reversible.
- **Internal copilot**: One agent over your docs, tickets and dashboards that answers with sources and can take action, not just talk.

## What you get

- Agent design: tools, permissions, memory, escalation rules
- Eval suite with your real cases, run on every change
- Guardrails: input/output filters, spend limits, human approval steps
- Observability: traces, cost per task, success rate dashboard
- Deployment on your cloud, with runbooks and handover

## Stack

Claude, GPT, Gemini, Claude Agent SDK, Vercel AI SDK, LangGraph, MCP, TypeScript, Python

## FAQ

### How long until an agent is in production?

A working prototype on your data in the first week, and a production pilot with evals, guardrails and monitoring by day 30 for a well-scoped use case. Bigger scopes are split into 30-day increments.

### Which model do you use?

Whichever wins your evals at an acceptable cost. We are model-agnostic: Claude, GPT, Gemini or open-weight models, and we can switch later without a rewrite.

### What stops the agent from doing something stupid?

Scoped tool permissions, policy checks before every action, spend and rate limits, human approval on irreversible steps, and an eval suite that blocks regressions before they ship.

### Do we own the agent?

Yes. Code, prompts, evals and infrastructure live in your accounts from day one. No platform fee, no lock-in.

## Other capabilities

- [Agentic orchestration](https://ai.arcvs.tech/en/services/multi-agent-orchestration): Planner, workers and reviewers that run in parallel, with one owner of state and a full audit trail.
- [Model training & fine-tuning](https://ai.arcvs.tech/en/services/llm-fine-tuning): Fine-tuned and distilled models that win on your task, run cheaper, and belong to you.
- [RAG & knowledge systems](https://ai.arcvs.tech/en/services/rag-knowledge-systems): Search and answers over your company data, with citations, permissions and measured accuracy.
- [AI automation](https://ai.arcvs.tech/en/services/ai-automation): Workflows where AI reads, classifies and decides, and code does the rest. Measured in hours reclaimed.
- [Private & on-prem AI](https://ai.arcvs.tech/en/services/private-ai): Open-weight models on your cloud or hardware. Your prompts and documents never leave your perimeter.
- [AI security](https://ai.arcvs.tech/en/services/ai-security): Red teaming for LLM apps and agents: prompt injection, data leakage, excessive agency, insecure tools.
- [OSINT & security audits](https://ai.arcvs.tech/en/services/osint-security-audits): Your exposure, seen from outside: breaches, leaks, forgotten assets, CVEs. Then authorized testing and fixes.

## Contact

- WhatsApp: +5532999143361 (https://wa.me/5532999143361)
- Telegram: @w1ldcrow (https://t.me/w1ldcrow)
- Email: contact@arcvs.tech
- Contact section: https://ai.arcvs.tech/en#contact
- Parent studio: https://www.arcvs.tech