João Neves — CEO, CTO and AI Product Builder

JOÃO NEVES

CEO · CTO · AI BUILDER

GitHub ↗

AI EFFICIENCY SPRINT

Your company probably has too many people doing work AI could already do.

Most companies still operate as if AI doesn't exist.

Give me 10 business days. I'll find the expensive manual work — and build the first system that removes some of it.

€3,500 fixed price · 10 business days

AI Audit Snapshot

AI isn't the interesting part.
Inefficiency is.

Your company probably already uses ChatGPT.

That doesn't mean it is taking advantage of AI.

The expensive part is still happening inside everyday workflows.

  • People copying information between systems
  • Reports rebuilt manually every week
  • Teams researching information AI could find in seconds
  • Customer enquiries repeatedly handled by humans
  • Leads manually researched and qualified
  • Content workflows requiring too many steps
  • Internal knowledge scattered across tools
  • Repetitive administrative work
  • Product and engineering teams spending hours on repetitive coding, testing, documentation, research and maintenance

Most companies don't need more AI tools.

They need someone to ask: "Why is a human still doing this?"

THE OPPORTUNITY

Same work. Far less work.

AI creates value when we redesign the process — not when we simply add another tool to the existing one.

Before and after workflow showing manual work replaced by an AI-powered process

10 BUSINESS DAYS

I don't just tell you what to automate.
I build the first one.

The Sprint moves from diagnosis to a working implementation in 10 business days.

Ten-business-day AI Efficiency Sprint timeline

Days 1–2 — Understand

Team, tools and workflows. Identify bottlenecks and expensive repetition.

Days 3–4 — Identify

Find high-impact opportunities. Estimate time and cost savings.

Days 5–9 — Build

Implement one AI workflow. Connect the required tools, data and actions.

Day 10 — Deliver

Efficiency map. 90-day roadmap. Working implementation.

WHAT GETS BUILT

This is what "automation" actually means.

One system can receive information, research context, make decisions, prepare outputs and update the tools your team already uses.

AI agent workflow receiving information, making decisions and updating business tools

It might research and qualify leads.

It might triage support requests.

It might generate management reports.

It might run a content operation.

It might accelerate product development — from specification and prototyping to coding, testing and review.

The exact implementation depends on where the biggest financial opportunity exists inside your company.

Every department is a candidate.

Product. Engineering. Sales. Operations. Support. Finance. Content.
I look for where expensive human time is being spent on work AI can now accelerate or remove.

01

Product & Engineering

Speed up the path from idea to production using AI-assisted development, testing, review and internal tooling.

02

Sales

Research, enrich and qualify prospects before your sales team touches them.

03

Operations

Replace repetitive internal workflows with automated processes.

04

Customer Support

Understand requests, gather context and prepare responses automatically.

05

Reporting & Data

Generate recurring reports, process data and surface insights automatically.

06

Content

Research, create, review and distribute content through AI-powered workflows.

07

Internal Knowledge

Let teams retrieve answers and take actions using company knowledge and systems.

08

Finance & Admin

Reduce repetitive document processing, reconciliation and administrative work.

WHY ME

I'm not an AI consultant.

That's probably a good thing.

I've spent more than 20 years building and running technology companies.

I've hired teams, managed operations, built products used by millions of people, scaled infrastructure and taken a company from its first €10,000 to acquisition.

Today I use AI to build with dramatically smaller teams and much higher output.

I look at AI as a business operator first and a technology problem second.

I use this approach inside my own companies.

20 minutes5 minutesseconds

One of my content workflows used to require around 20 minutes of human work per article.

That didn't happen because I bought a ChatGPT subscription.

It happened because I redesigned the process around what AI can do.

There's a big difference.

See the system →

DELIVERABLES

After 10 days, you know exactly what to do next.

01

AI Efficiency Map

Where AI and automation can reduce work and operating costs.

02

Working AI Implementation

One high-value opportunity becomes a real working system.

03

Estimated Impact

Expected hours saved, cost reduction or additional output.

04

90-Day Roadmap

What should be implemented next, in what order, and why.

FIXED PRICE

One Sprint.

€3,500

10 business days

Includes:

  • workflow analysis
  • AI opportunity mapping
  • one working AI implementation
  • estimated impact
  • 90-day roadmap
  • final management session

No hourly billing.

No mystery invoice.

No six-month engagement.

€3,500. 10 business days. Something gets built.

Book an Efficiency Call

If I don't identify an opportunity that I believe is worth considerably more than the cost of the Sprint, I'll tell you before we start building.

The Sprint can end there.

You own the findings and the implementation.

You can take the roadmap and implement the rest internally.

Or, if we uncover larger opportunities, I can help implement the rest.

But that's a separate conversation.

The Sprint has one job:

Find expensive manual work and remove some of it.

Before you hire another person...
Find out whether you actually need one.

AI Efficiency Sprint

10 business days · €3,500

Book an Efficiency Call