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AI Automation
Architect

We design and deploy autonomous AI systems — chatbots, voice agents, lead generation, and content engines. Prebuilt for speed. Customized for your business.

North America & LATAM
See What We Build
© 2026 Roedia
About Roedia

We build AI systems that fail safely, on infrastructure you own.

Answers on WhatsApp
A customer writes on WhatsApp; the assistant answers from your own documents, cites the source, and says it doesn’t know rather than guessing.
From PDF to CRM
Invoices and contracts go through OCR, the fields land in HubSpot or QuickBooks, and a failed run retries without posting the same record twice.
Your own database
Everything runs on a Supabase project in your name, with row-level security so each client’s data stays separate. You keep the keys.

Roedia is an engineering studio, not a package shop. An engagement starts with an assessment of what your current system actually does, moves to a scoped build, and continues as a retainer only if you want one. The infrastructure stays in your name.

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Engineering Services

Getting AI systems into production — and proving they stay correct.

Agent Failure Audit

A ranked account of how your agent actually fails, read out of your own traces. Every failure classified against a working taxonomy, cited by run, and turned into the first regression suite you keep whether or not we continue.

The Evaluation Gate

Your AI system gets the release discipline your code already has. A change that degrades quality fails the build and names the stage that broke — retrieval or generation, not just “quality dropped”. The judge is calibrated and the gate is tested against being fooled.

Cited Answers

Multi-agent RAG over your private corpus where the citation is enforced in code rather than requested in a prompt — and “not in the corpus” is a tested path instead of an embarrassment. Retrieval is scored separately, because that is usually where RAG breaks.

Fail-Closed Pipelines

Automation that loses nothing and writes nothing twice: idempotent writes, dead-letter queues, a scheduled sweep behind every webhook so a missed event degrades to late rather than lost, and extraction that writes nothing rather than corrupting a record on a bad parse.

How It Works

From idea to live AI in 4 steps

Step 01

Discovery

We learn about your business, customers, and goals. Free 30-minute call.

Step 02

Design

We architect the solution -- chatbot flows, site wireframes, automation logic.

Step 03

Build

We build, test, and refine. You review at every stage.

Step 04

Launch & Support

We deploy, train your team, and provide ongoing support.

How engagements work

Start with an assessment. Build only what it justifies.

Every engagement begins with a fixed-fee assessment that produces something you keep — a defect inventory, a test set, a sized plan — whether or not it goes further. Scope and fee are quoted per engagement after that conversation.

01

Assessment

Two to three weeks, fixed fee, no obligation to continue. Read-only access is enough. You leave with a ranked, evidence-backed account of what stands between the current build and production.

02

Build

Fixed scope, fixed fee, delivered into your repository and your CI — not a vendor dashboard. Phased, with each phase closing on a written architecture decision you can hold me to.

03

Retainer

Optional and never required to keep what was built. A monthly block for the work that only shows up later: model upgrades, drift, growing the eval set as reality changes.

Practical notes: the work runs on infrastructure you own, under scoped and time-limited access, with no data leaving your environment. I will sign a DPA and complete your security questionnaire. I am one senior engineer, not an audit firm — I can produce the evidence your reviewer asks for, not a certification. Judge calibration needs a domain expert on your side to label a sample; that dependency is named before we start, because agreement measured against a single rater is not a real number.

Blog

Latest insights

All Posts
Industry 10 min read

The AI Landscape Shifted: What Happened in Early 2026
Architecture 8 min read

Why Your Vibe-Coded SaaS Will Break in Production
Tools 12 min read

Claude Code vs Cursor vs Copilot: An Honest Comparison (2026)
FAQ

Everything you need to know

Contact

Let's architect your AI system

Have a project in mind? Want to explore how AI can help your business? Write to us -- we respond in under 24 hours.

Or message us directly on WhatsApp

Location
Remote — North America & LATAM
Response Time
Under 24 hours
Email
lopez1457@me.com
WhatsApp
+1 778 508 7790
About

Built by an AI Architect who ships

Rogelio Lopez Portfolio & code ↗
RL

Rogelio Lopez

Founder · Roedia.ai

AI Architect and Solutions Engineer. Built a production SaaS of 93,000 lines from scratch. Designed and deployed automation systems across 8+ platforms for businesses in North America and Latin America. Now building Roedia — prebuilt AI automation packages that give small businesses enterprise-grade intelligence.

93k
Lines shipped
8+
Platforms
50+
Clients served
roedia — zsh
$ roedia deploy --chatbot whatsapp
✓ Chatbot trained on 847 FAQs
✓ WhatsApp Business API connected
✓ Auto-response pipeline active
$ _