Orathon/Insights/Where AI is going
Orathon AI Insights · 01 · Fernando Martinez

Where AI is going.And how to prepare.

Act 1

2010s — AI that predicts

Powerful, but locked inside the biggest companies in the world. Invisible to everyone else.

Autocomplete Recommendations Fraud detection
Act 2

2022 — AI that talks

A very competent generalist assistant. Anyone can use it. No PhD required.

Act 3

2025 → 2026 — AI that does

From copilot to coworker. It doesn't just answer. It takes the next action.

Reads
Your inbox, and drafts the reply
Updates
The tracker from what a customer said
Replies
On WhatsApp, then books the follow-up
Where it's going

AI becomes the organization's brain

Stop boosting individual brains one by one. Build shared infrastructure for the whole company.

Sales Ops Finance Support Data Tools
Why now

Three things are happening at once

Don't judge AI on today's glitches. In six to twelve months it's dramatically better.

Capability

Cost of AI

Cost of software

The quiet shift

Custom software used to be a luxury.
Not anymore.

The answer isn't always AI. Sometimes it's bespoke software you could never afford before. Build the right thing first.

Generic tool
half-fits
Built to fit
how you work
The real constraint

The AI is already smart.
That's not the problem.

A genius with no context can't help you. Einstein can't read a calendar he isn't connected to.

Genius AI
"What's on my schedule tomorrow?"  — can't answer
CalendarInboxCRMFiles
Connected → now it can act. That's the work. That's what I do.
What it actually does

Inside a business, it's six moves

AnswerExtractDraft ReviewSummarizeMove it forward
A real estate firm, drowning in its inbox.
Inbox → spot the deals → one clean one-pager
Extract · Summarize · Draft
A restaurant, counting stock by hand.
Whiteboard photo → clean data → shopping list
Extract · Review · Move forward
The pattern I see everywhere

The same three leaks. Every industry.

Leak 01

Slow follow-up

Leads and customers wait. Waiting is lost money.

Leak 02

Manual data shuffling

Copying between WhatsApp, email, and spreadsheets. Where the errors hide.

Leak 03

Knowledge in one head

Usually the owner's. The business can't grow past them.

How to prepare

Not ten experiments. Three moves.

1

Organize your context

Get your tools and data connected and clean, so a smart AI can actually act.

2

Embed it in the real work

Not on the side. So it doesn't depend on each person's initiative or skill.

3

Build the brain once

One smart person builds it. Everyone benefits, no matter how AI-savvy they are.

The close

Build the right
thing first.

Give me one week. I'll find the single place where AI, or custom software, pays for itself fastest in your business.

Book a discovery
Fernando Martinez · Orathon
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