AI Automation Services · agents that run your operation

Your business grew. Your team is buried in busywork.

Your operation has 3 to 5 processes an agent can take this month — billing, collections, WhatsApp, recruiting, reporting. The agents take the repetitive part; your people move up to the judgment part. Same team, more throughput, better quality. Nothing migrated.

Billing WhatsApp Reporting CVs Collections Agents

Five processes, one agentic layer. Your people stay on top of it.

Enterprise operations where our founder worked.

How many people on your team spend their day on something an agent could do?

You already did the math in your head. That's the number we work with.

The agents · 01

Five agents. Pick the one that's eating your team's day. Start there.

Sales · Argus AI

Opens leads in real time, profiles the client, routes the conversation before a human rep steps in.

TodayReps chasing cold leads all day With the agentReps close warm, qualified ones — Argus does the chasing

Billing & collections

Generates invoices, sends reminders before due dates, follows up on payments, escalates.

TodayHours of manual invoicing and reconciliation With the agentThe agent runs it; your person handles the exceptions that need judgment

WhatsApp

Handles high contact volume on the number you already use. Full traceability.

TodayYour team answering the same questions 24/7 With the agentThe agent covers volume; people step in for what matters

Recruiting & screening

Reads CVs, classifies, books the first interview, builds comparison tables.

Today45 days to fill a role With the agentDays, not weeks — your recruiter interviews instead of sorting CVs

Reporting

Pulls from your sources daily, interprets with Claude, delivers conclusions in Slack or email.

TodayReports nobody reads With the agentAnswers in plain language; your analyst acts on them instead of building them

AI isn't here to replace your people. It's here to take the busywork off them. The agent does the part that wears people down; your team rises to the part that needs judgment, context, and a human.

People-first · 02

AI isn't coming for your people. It's coming to free them.

When AI walks into a company, the first thing in the room isn't excitement — it's fear. The question nobody asks out loud: "is this here to replace me?" Our answer is no, and we back it with what we do, not a line. Agents take the repetitive work — the kind that wears people down. People move up to judgment, context, and dealing with another human.

And nothing breaks. The agent lives on the WhatsApp Business number you already use, the billing system you already run, the ERP your accountant already knows. No migration. No new tools to learn. Your stack stays. The agents land on top.

And we don't hand you a tool and leave. Every implementation includes training for each person on your team, in-person sessions when it helps, and Laura — a dedicated onboarding agent, included in every implementation, who answers your team's questions about their project, at any hour. The goal is a team that operates everything without depending on us. (Laura is being built alongside this site — included in every implementation as she comes online.)

AGENT LAYER Billing agent WhatsApp agent Reporting agent YOUR STACK · UNTOUCHED WhatsApp ERP Billing Tango

The agents land on top of the stack you already run. Zero migration.

The numbers · 03

Same team. More capacity. Measured per process.

−0%

time-to-hire with recruiting agents

0%

support ticket deflection

−0%

manual load on the chosen process

week 3–5

first agent live in production

1

process to start — we prove it before we scale

A mid-market Argentine company started with one process — billing and collections — and validated the savings in four weeks before extending. We start with one. We measure. Then we scale.

Measured on your own panel — hours freed, tickets answered, CVs screened. If the number doesn't show up, we don't scale.

This month · 04

In 30 minutes we name the 3 processes an agent can take this month.

No pitch. We walk through your operation, find the 3 to 5 most repetitive processes, and tell you which one to start with. If we don't see clear ROI for your case, we say so on the call. You only commit to a SOW once it makes sense to both of us.

Week 0

Discovery call

Free 30-minute call.

Week 1

Context analysis

We map your workflows.

Week 2–4

Custom SOW

Scope, timeline, price.

Week 4–6

Delivery with agents

Live in your operations.

We don't ask you for data infrastructure: we connect to the systems you already run and pull only what's needed. You install nothing, you migrate nothing — minimum access, encrypted, never used to train models. And the data is yours.

The objections · 05

The three questions that decide it.

No. AI takes the repetitive part of the work — the part nobody claims as their own — and your team moves up to what needs judgment, context, and a human. And we don't leave you alone with the tool: every implementation includes training each person on your team, close human support (Laura) through the transition, and in-person sessions when it helps. The goal is for your people to run everything without depending on us.
We don't ask you for data infrastructure: if you already had it, you wouldn't need us. We connect to the systems you already run — ERP, spreadsheets, documents, channels — and pull only the data the agreed process needs, with the minimum access and the exact permission per component. From there the work moves to our side: the data engineering, the structured storage, and the reporting are built and operated on our platform, on Google Cloud. That's why you install nothing, you migrate nothing, and we put no people or tools inside your business. Everything travels and is stored encrypted, every operation is logged, and your data is never used to train models. And it's yours: if the contract ends, we hand it over and access is revoked.
Our platform runs on Google Cloud, with least privilege, encryption by default, and auditable infrastructure as code. The standard isn't something we assembled for this project: it's the same data protocol Martín worked under at Stitch Fix, MadHive, Human Cybersecurity, XPO, and DealerOn — companies where our founder worked, not RavencoreX clients.