How much does a typical project cost?

Depends on scope, but for reference: a specific automation from USD $300, an AI agent from USD $800, a complete CRM integration from USD $2,500 and a SaaS from USD $8,000. In the diagnosis I give you a tight range for your specific case.

How long to see results?

The first automations usually run in 1-2 weeks. A basic AI agent in 2-3 weeks. A complete SaaS project between 8-16 weeks. I work in short sprints so you see progress in each delivery.

What if I already have tools? Do you replace or integrate?

I integrate whenever possible. The idea is not for you to change everything, but for what you already have to work better and communicate with each other. I only recommend replacing when a tool is costing you more than it contributes.

Do you work alone or with a team?

I personally lead each project and, depending on size, add developers, designers or data experts from the Oryzo team and my network. You always have a single point of contact: me.

Do I need technical knowledge to maintain it?

No. I deliver everything documented, with simple dashboards and training for your team. If you later prefer continuous support, I offer monthly maintenance plans.

Do you handle projects outside Chile?

Yes. I work with clients throughout LatAm and Spanish-speaking USA. Everything is 100% remote, with meetings via Google Meet or Zoom and asynchronous communication via WhatsApp/Slack.

How we saved 500 hours a month by automating an e-commerce CRM

The problem: leads coming in and getting lost

Oryzo came to me with a problem I see week after week in e-commerce businesses: they had demand, but they had no system.

Leads were coming in through WhatsApp, Instagram, email, and the website. The sales team was responding manually, with no priority order, no consistent record-keeping, and response times that could exceed 4 hours. Post-inquiry follow-up depended on each salesperson's memory.

The result was predictable: prospects going cold, lost sales that couldn't be quantified, and a burned-out team repeating the same answers every day.

When we calculated the real time being dedicated to these tasks, the number was stark: more than 500 monthly hours of team time absorbed by work that could be automated.

The solution: three layers of automation

I didn't implement a single tool. I built a three-layer ecosystem that works together.

Layer 1: Centralized CRM with GoHighLevel

The first problem was structural: leads were coming in through multiple channels with no unified entry point. We implemented GoHighLevel as the central nervous system.

Every channel (WhatsApp, Instagram, web, email) connected to the same inbox
Sales pipeline with clear stages: New Lead → Contacted → Qualified → Proposal → Closed
Automatic tasks assigned to the right salesperson based on origin and type of inquiry
Complete history of every contact in one place

The team stopped hunting for conversations scattered across 4 different apps.

Layer 2: AI agents for 24/7 coverage

The second problem was response time. A lead that doesn't receive contact in the first 5 minutes is 10 times less likely to convert (Harvard Business Review data).

I built an AI agent connected to WhatsApp Business API that:

Responds in seconds, at any hour, in the brand's voice and tone
Qualifies the prospect with 3–4 strategic questions before passing them to the human team
Automatically records the lead in GoHighLevel with classification tags
Escalates to the salesperson only when the prospect is ready to talk pricing

The agent was trained on the company's real FAQ, the product catalog, and the history of the most frequent inquiries. It isn't a generic chatbot — it knows exactly what it's talking about.

Layer 3: Automated nurturing pipelines with n8n

The third problem was follow-up. Most e-commerce sales don't close on the first contact — they require 3 to 7 touchpoints.

With n8n I built flows that:

Send a follow-up message sequence to prospects who didn't respond
Generate automatic reminders to the salesperson 24 and 72 hours after the last contact
Trigger reactivation campaigns to cold leads based on their last interaction
Sync data between GoHighLevel, Shopify, and Google Sheets in real time

Results at 6 months

Metric	Before	After
Manual hours / month	500+	~60
Average response time	4 hours	3 minutes
Conversion rate	—	+40%
Project ROI	—	5:1
Service coverage	Business hours	24/7

The 5:1 ROI is conservative: it doesn't include the sales recovered that previously simply weren't tracked because the lead was lost with no record.

What I learned from this project

1. The most valuable automation isn't the most complex. The biggest impact at Oryzo came from something simple: unifying incoming channels into a single place. Before thinking about AI, first you have to resolve the data chaos.

2. The AI agent doesn't replace the salesperson — it frees them. The sales team used to spend 60% of their time answering basic questions. After automation, they spend 90% of their time closing, not qualifying.

3. Nurturing flows are money left on the table. Most e-commerce businesses have a list of unworked leads that's worth far more than they realize. An automated pipeline reactivates them with no additional effort from the team.

Does your e-commerce have this problem?

This case isn't exceptional. It's the pattern I see in most e-commerce businesses doing between $10K and $100K in monthly revenue with a team of 3 to 15 people.

If you recognize any of these symptoms in your business, there are probably 200 to 500 monthly hours recoverable with the right automation:

Your team answers the same questions every day
Leads are being lost due to lack of follow-up
You have data in multiple platforms that don't sync
You don't know exactly how many active prospects you have right now

The diagnostic is free. In 30 minutes I can tell you exactly how much time you can recover and which automations have the highest return for your specific operation.