AI Operations ArchitectOrkestra Systems

I design, build, and embed agentic AI systems into existing operations.

I help small and mid-market companies integrate AI into the operations they already run.

Jefferson Alves
Built with — the real stack, in production
Claude· Anthropic API
n8n
Supabase
Next.js
WhatsApp· Evolution API
The gap
Most companies bought AI strategy.
They got slideware.

The technology was never the hard part. Around 83% of AI projects fail on adoption, not capability — they stall the moment they meet the operation they were meant to change.

~83%
of AI projects fail on adoption — not capability.
The work

Design. Build. Embed.

Three layers, always together.
01
Design
I diagnose where agentic AI belongs in your operation — and where it doesn't.
02
Build
I architect and implement the systems. n8n, Claude API, Supabase, WhatsApp integrations, custom dashboards. Not slideware.
03
Embed
I stay. I train your team — front-line to executive — and I own the outcome long after deployment.

Most consultants do one of these. I do all three — because they only work together.

Proof — in production

Live Portugal.
One operation, running on Orkestra.

A Lisbon-based tour operator — a fleet, drivers, and 24/7 customer demand, where every operational inefficiency hits margin directly. Three systems, in production today:

OrkestraTour — WhatsApp agent
OrkestraTour
WhatsApp conversational agent for customer touchpoints
Cockpit LX — operations cockpit
Cockpit LX
Operations cockpit — calendar, fleet, drivers and finance in one view
Scheduled Comms Agent
Scheduled Comms Agent
Real-time driver alerts: city events, traffic, cruise arrivals
6h
Hours of manual ops removed each week
180/mo
Customer touchpoints handled automatically each month
<1min
First response to customers — was ~2h
How I got here

How I got here

After twelve years of great dedication to music, I quit. Nevertheless, my devotion to Harmony — and to language held to a high standard — never ceased. It only evolved.

Years on stage — where I learned harmony.
Music · 12 yearsYears on stage — where I learned harmony.

Music taught me two things I've used in every role since: how to break a complex pattern into pieces a beginner can actually grasp, and how to hear when something is off — and refuse to stop before it resolves.

Leading a 60-person agency.
Brazil · 2015–2018Leading a 60-person agency.

In 2015 I left for the corporate world — sales in Asia, then Managing Director of a 60-person marketing agency in Brazil serving online brokerages. Orchestration before I had the word for it: people, hiring, process, arranged to serve one outcome. I also watched operations run in deep dissonance — aggressive telemarketing, burnt-out teams, obsolete tools — and no one fixing it.

Between trading floors and copywriting desks, I rebuilt my relationship with language. I studied writing as a discipline — Strunk & White, Stephen King, Peterson, Schopenhauer — and learned the skill that mattered most later: how to specify intent in plain language, so that anyone — or anything — knows exactly what to do.

Guiding tuk-tuks, quietly building Orkestra.
Lisbon · OrkestraGuiding tuk-tuks, quietly building Orkestra.

Then Lisbon. Three years guiding tuk-tuk tours while quietly building Orkestra. Today, it runs live systems for a Lisbon tour operator — a WhatsApp conversational agent, and an operations cockpit that unifies calendar, fleet, drivers, and finance into a single instrument. Orchestration again — harmony in an operation instead of a score.

The turning point came while I was earning my n8n certifications. Vibe coding arrived — Claude Code above all — and my mind detonated. The interface to building software was now natural language: the exact craft I'd spent twenty years sharpening, for music, sales, and intellectual development, had now become the most leveraged skill. The supporting act was now the headline.

So I founded Orkestra Systems — the operational arm that unites the stack (n8n, Claude API, Supabase, WhatsApp, Google Workspace) with a writing method applied to prompt engineering. The name is the thesis: orchestration — independent parts conducted into one working whole.

I work in three layers, always together. Design — I diagnose where agentic AI belongs in your operation, and where it doesn't. Build — I architect and implement the systems. Embed — I stay, I train your team, and I own the outcome long after deployment.

I treat your operation as if I owned it — not because I do, but because I can't rest while something is dissonant.

I won't call it done until it runs like music.

If you have an operational layer a human shouldn't be running by hand in 2026 — let's talk.