What does an AI strategy consultant do?

They find where AI will save time or grow revenue in a business, then plan and oversee putting it in place. Vanessa O’Bree starts every engagement with a diagnosis and a roadmap, implements the highest-return items first and trains the team to run them.

A structured review of how the business runs, to find where AI can be applied strategically for a fast return on investment. It takes 2 to 3 weeks and delivers a map of current processes, AI opportunities ranked by impact and effort and a prioritised roadmap with the expected return.

How long does AI implementation take?

It depends on how complex the organisation and its processes are. For small and mid-sized businesses, it can take as little as 3 to 4 weeks. The simplest, highest-return items are built first, so results show quickly.

Is it better to hire an AI consultant or buy an AI tool?

A tool can usually solve part of the problem. A consultant looks at how the whole business runs first, so everything built fits together and can scale as the business grows. Sometimes the right answer is learning to use a tool the business already pays for more effectively. An honest consultant will then design a training programme, instead of recommending an expensive custom build.

Does a business need technical staff to use AI?

No. vobree ai studio builds the systems, connects them to the tools the team already uses, and trains the team to run them. The client owns everything that is built.

Established organisations looking for growth, with a team, customers and processes that could run better. Clients include companies in B2B events, e-commerce, retail and creative services. Vanessa O’Bree brings 18 years of experience in FMCG, retail and hospitality.

Where is vobree ai studio based?

In Barcelona, Spain, for in-person meetings and worldwide for remote work, in English, Spanish and French.

Is the first call free?

Yes. The first 30-minute call is free and covers where AI could help and whether an audit is the right next step. The audit itself is a paid engagement.

Services

From audit to working systems.

03AI

Where it delivers the most ROI

02Process

How the work really runs

01Strategy

Goals and priorities

The foundation

A sample of services

Shaped to each business.

Strategy

AI audit and roadmap
Where AI will deliver ROI and in what order.
Process redesign
Workflows that hold before anything is automated.
Team AI training
Teams that use AI with confidence every day.

Sales & marketing

Outreach and sales agents
A pipeline that fills itself and books calls.
Paid media
Ad spend that works harder and is measured properly.
Social media
On-brand content planned and published on schedule.
E-commerce
More sales from the traffic you already have.
CRM and loyalty programmes
Higher customer lifetime value (LTV) from first order to repeat.

Operations

AI operating system
One connected system that knows the business.
Data intelligence dashboard
One view of the business and what to do next.
Syncing booking and venue platforms
A centralised digital ecosystem that ends manual reconciliation.
Custom tools
Built around how the team already works.

Not sure where to start?

Book a free 30-min call

About

Vanessa O’Bree

18 years inside businesses. Now bringing AI into them.

Vanessa spent 18 years running businesses, owning P&Ls and growing revenue across FMCG, retail and hospitality. She judges AI the way an operator does: by what it does for the numbers.

She only takes on work she is confident will deliver a return. Sometimes the honest answer is a tool the business already has, or nothing at all. Strategy comes first, and she stays until it delivers.

Follow Vanessa on LinkedIn

What led her here

A career spent making businesses grow and run better. AI is the sharpest tool she has found.

The turning point came at one of Spain's historic wine groups. After leading its digital and e-commerce strategy, Vanessa took on something very different: turning the wine tourism business around and making it profitable. Suddenly she was running a hands-on operation with bookings, guests and a team on the floor, where her digital playbook didn't apply. She learned it from the ground up.

That's where AI became useful. The company was large and complex, and off-the-shelf software rarely fit how the team worked. What they needed either cost too much or didn't exist. Realising they could build their own changed what was possible.

What stayed with her was where the time went: a capable team losing hours every week to workarounds and admin, when their real job was the guest in front of them.

That's what she brings to every client now. Used with a clear plan, AI takes the work that drains a team and gives the time back to the people who move the business forward.

Insights

Notes on using AI with a plan.

Guide

Before you buy the tool: the questions that reveal a broken process

A quick self-check for leaders who feel the friction but can't yet say where it comes from.

Read Perspective

Why a single automation is the riskiest place to start with AI

One-off automations age fast. Why it pays to build something your business can grow into.

Read Playbook

AI your team owns: from the ChatGPT tab to an operating system

How to move a team past one-off prompts to AI that runs part of the business.

Read

New thinking on AI strategy every month.

← All cases

Case · Sneaker & streetwear e-commerce · Sivasdescalzo

An AI roadmap built for in-house execution.

A leading sneaker and streetwear retailer saw AI as part of its future. The leadership wanted to bring it in-house and do it strategically, on their own terms rather than depending on an external agency, but had no clear starting point.

Through focused interviews with the leadership and key teams, Vanessa mapped how the business runs and ranked where AI would have the biggest financial impact, well beyond the obvious use cases. The result was a sequenced plan designed for the company's own people to deliver.

A route to embedding AI where it counts, owned and driven by the company itself. With priorities set, work could start in the first weeks without an outside partner.

"We knew we had to move on AI but had put it off for months, we didn't have the expertise or know where to start. In a few conversations Vanessa understood the business, and gave us a clear plan to bring AI into the parts of the organisation that actually move the bottom line, with a team that knew exactly how to implement it."

Rubén García Arnal
CEO, Sivasdescalzo

Ready to move on AI strategically?

Book a free 30-min call

← All cases

Case · Organic cosmetics · Retail & distribution

A lean team with the output of a whole department.

A co-founder and CEO who built a successful organic cosmetics company from the ground up over twenty years, now spanning three business units across online and physical retail. A small in-house team handled all of the marketing, with paid media outsourced to an external agency.

Vanessa moved that marketing onto an AI system connected directly to the company's own platforms and shaped around how the team works. It executes from their commands rather than adding another tool to manage.

The gains came straight away: paid media brought back in-house and outperforming the former agency, and a small team doing work that once needed far more people.

"I've replaced a full marketing team with AI I direct myself, and scaled the business faster than I ever thought possible."

Laure Griveau
CEO & Co-founder, Adonia

Want your team to run like this?

Book a free 30-min call

← All cases

Case · B2B events · Ibero-American market

Outreach on autopilot and a team back to selling.

A B2B events business with a fast-growing market to win across the Ibero-American region, reaching it by hand. Vanessa was brought in to help the team scale its outreach and pursue far more of the opportunity without adding headcount.

Vanessa streamlined and adapted the outreach for each brand and market, tuning it to what was actually landing. On a single, richer database she built an always-on system that sharpens with every campaign and a dashboard that gives the team one clear view to prioritise and close. Social and personal-brand activity was automated alongside it.

Over 40 hours a week returned to the team, outreach that keeps working between campaigns and effort focused on the highest-value conversations rather than list-building. All of it is owned and run in-house.

"Vanessa took our outreach from a completely manual process and built a system that practically runs itself. As a result, our team can focus on closing opportunities instead of constantly chasing contacts.

The stress of finding the right people and getting in front of relevant decision-makers for our events has disappeared, and our confidence has grown significantly.

For a startup operating in such a competitive environment, this has been a crucial step forward. I highly recommend Vanessa to any small or medium-sized company looking for support in navigating this new and often uncharted territory."

David Benitez
Founder, Cocoa H2H / IBX

Want an engine that runs itself?

Book a free 30-min call

← All cases

Case · Creative technology · Drone light shows

Sharper sales on a lean budget.

Flock Drone Art creates premium drone light shows, and demand was growing faster than its lean sales team could keep up with. Vanessa was brought in to help sales scale without losing the personal relationships that win the work.

Vanessa examined how the studio sells and designed a go-to-market strategy that applied AI only where it removed friction. She delivered it as a detailed roadmap the team could execute in-house, adapted to their process, people and budget, with no custom development needed.

A clearer, tighter sales process built to absorb the growing demand, keeping the team on the relationships and the work that actually closes.

"Vanessa highlighted where we could be more efficient and optimised our sales process, without the need for an expensive AI build."

Miguel Lyons
Sales Director, Flock Drone Art

Where is your business losing time?

Book a free 30-min call

← Insights

Guide · 5 min read

Before you buy the tool: five questions that reveal a broken process.

Vanessa O’Bree

When something feels slow or messy, the instinct is to buy a tool that promises to fix it. It's the wrong first move. A tool applied to a broken process just makes the mess faster and more expensive. Before you spend, five questions tell you whether the process underneath is actually ready.

1. Could you write down exactly how this gets done?
Step by step, start to finish. If the answer lives in one person's head, that's the first thing to fix, not to automate. You can't scale what you can't see.

2. Where does the work wait?
Most lost time isn't in the doing. It's in the handoffs, the approvals, the "waiting for someone to reply." Automation rarely touches that unless you go looking for it deliberately.

3. How would you know it worked?
If you can't name the number that should move, you're not ready to spend on the thing meant to move it. Decide the measure first.

4. What happens when it breaks?
A process held together by one clever automation is one software update away from chaos. Resilience matters more than cleverness.

5. Is this the highest-value place to start?
The loudest problem is rarely the most expensive one. Start where the return is biggest, not where the noise is.

Answer these honestly and you'll usually find the first fix costs nothing: a documented process, a cleaner handoff, a template. The tool comes later, and when it does, it works, because there's finally something sound underneath it.

New thinking on AI strategy every month.

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← Insights

Perspective · 4 min read

Why a single automation is the riskiest place to start with AI.

Vanessa O’Bree

A single automation feels like progress. One workflow, one visible win, one tidy subscription. It's also the fastest thing to become obsolete.

Point-solutions age badly. The moment the process around them shifts, they break, and you're back where you started, minus the monthly fee. Worse, they don't add up to anything. A pile of disconnected automations isn't a system; it's technical debt with a login. Each one solves a corner and knows nothing about the others.

What compounds instead is a plan. Decide what the business actually needs, in what order, and build so that each piece makes the next one easier. That's the whole difference between AI that expires and AI that scales.

This isn't an argument for building big. It's an argument for building deliberately. Start with the strategy, not the tool, and the first thing you ship is part of something, not a dead end.

The question was never "what can we automate?" It's "what, automated, would move the business, and how does it fit what comes next?"

New thinking on AI strategy every month.

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← Insights

Playbook · 5 min read

AI your team owns: from the ChatGPT tab to an operating system.

Vanessa O’Bree

Most teams' relationship with AI is a browser tab. Useful, ad-hoc, and stuck. Everyone prompts a little, results are inconsistent, and nothing accumulates. The knowledge stays inside individual chats and leaves when the tab closes.

An AI operating system is a different thing entirely. It knows your business, runs from your team's commands, and gets better the more it's used. Here's what it takes to get there.

Give it context.
Your voice, your process, your data, written down once, so the AI responds like someone who works there rather than a stranger guessing.

Connect it to the work.
AI that lives beside your tools, not in a separate window, is the AI people actually use. The friction of switching contexts is what kills adoption.

Build the recurring jobs as skills.
The report, the reply, the brief, done the same way every time, by anyone, not reinvented in a fresh prompt each morning.

Train the team to run it.
The goal isn't a tool a consultant operates. It's capability the team owns and keeps.

Do this and AI stops being a thing people try. It becomes a thing the business runs on.

Want this in your business?

Book a free 30-min call

Framework

The hidden revenue framework.

Knowledge workers lose almost 5 hours a week to work that better processes would remove.¹

This framework helps find where that time goes, and the revenue behind it.

The problem

The hidden revenue problem.

Most growing businesses hit a ceiling that has nothing to do with their market, their product or their team.

It's operational friction.

The leads that slip through the cracks. The hours the team spends on work that could be done in minutes. The knowledge locked inside one person's head that stops the business from scaling without hiring.

This isn't a technology problem. It's a process problem, and it costs more than most businesses think.

The three revenue traps

Three patterns, across industries.

The same three patterns come up again and again. Most businesses have at least two.

01

Sales leakage

Leads come in. Then they fade.

Not because the product is wrong or the pricing is off, but because there's no system between first contact and a closed sale. Follow-ups depend on memory. Handoffs depend on who's available. Pipeline visibility depends on who you ask.

The result: 92% of B2B sales leaders say qualified leads are regularly dropped.² That's not a sales problem. That's a process gap with a price tag.

02

Capacity waste

The team is busy. But busy isn't the same as productive.

Every hour spent copying data between tools, building proposals from scratch or chasing colleagues for status updates is an hour not spent on work that generates revenue.

Most workers could save 5 to 6 hours a week with better processes or automation.³ Multiply that by team size and average hourly cost: that's the capacity waste number.

03

Knowledge silos

When expertise lives in people's heads instead of in systems, every growth move requires another hire. Nothing can be delegated because nothing is documented. Nothing can be automated because nobody has mapped the process. The business can't scale because it depends on specific individuals.

This is the most expensive trap because it's invisible until someone leaves. Then it's a crisis.

Quick self-check

Answer honestly.

Can you see every active deal in your pipeline right now (status, value, next action) without asking anyone?
If your best salesperson left tomorrow, could someone else follow their exact process by next week?
Do you know how many hours your team spends each week on tasks that are manual, repetitive and low-judgment?
When a lead goes quiet after the first conversation, does your system automatically follow up?
Could you bring a new team member to full productivity in under two weeks with your current documentation?

If you answered "no" to two or more, there's revenue trapped in your operations.

The fix

Process first. Technology second.

The fix isn't buying another tool. It's a process-first approach.

Map
Document what actually happens today. Not what should happen, but what does happen. Walk the process and talk to the people doing the work. The gaps nobody knew existed show up here.
Measure
Put a number on it: hours wasted, leads lost, delays caused, revenue left on the table. What can't be measured can't be prioritised.

Prioritise

Score each problem on three dimensions.

Dimension	What it measures	Range
Frequency	How often does it happen?	1 (monthly) to 5 (several times a day)
Pain	How much does it slow things down?	1 (minor) to 5 (blocks real work)
Standardisation	How consistent is the process?	1 (different every time) to 5 (identical)

Priority score = Frequency × Pain × Standardisation

Fix anything above 60 first. These are the quick wins.

Automate
Only now add technology. Automate the processes that have already been fixed, not the broken ones.
AI won't fix a broken process. It will scale the mess.
Scale
With documented, measured and automated processes, growth becomes a system, not a heroic effort.

Sources

Want help finding the hidden revenue in your business?

This framework gives the lens. Applying it across the whole operation (mapping the real processes, quantifying the gaps and building the fix) is where the real value is. A free 30-minute call, no pitch, just diagnosis.

Book a free 30-min call

Legal

Legal notice

Last updated: 28 September 2026

In compliance with Spanish Law 34/2002 on Information Society Services and Electronic Commerce (LSSI-CE), the owner of this website is identified below.

Website owner

Vanessa Ann O'Bree, trading as vobree ai studio
NIF X9406048Z
C/ Sant Albert, 43, 08197 Sant Cugat del Vallès, Barcelona, Spain
vanessa@vobreeconsulting.com
AI strategy consulting and implementation

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Last updated: 28 September 2026

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Diagnostic and newsletter data is kept until consent is withdrawn. Data linked to a proposal or contract is kept for as long as the relationship lasts and afterwards for the periods required by law.

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← Back Growth diagnostic · Free

Does any of this sound familiar?

Your team is buried in admin

Your tools don't talk

AI, but no results

Revenue slipping through

A clear AI roadmap first.Then implementation built for ROI.

Diagnose

Implement

Partner

In their words.

An operator's approach to AI.

Where is your business losing time and money?

FAQs

What does an AI strategy consultant do?

What is an AI audit?

How long does AI implementation take?

Is it better to hire an AI consultant or buy an AI tool?

Does a business need technical staff to use AI?

Who is this for?

Where is vobree ai studio based?

Is the first call free?

Start with afree 30-minute call.

From audit to working systems.

Shaped to each business.

Strategy

Sales & marketing

Operations

Vanessa O’Bree

A career spent making businesses grow and run better. AI is the sharpest tool she has found.

Notes on using AI with a plan.

Before you buy the tool: the questions that reveal a broken process

Why a single automation is the riskiest place to start with AI

AI your team owns: from the ChatGPT tab to an operating system

An AI roadmap built for in-house execution.

A lean team with the output of a whole department.

Outreach on autopilot and a team back to selling.

Sharper sales on a lean budget.

Before you buy the tool: five questions that reveal a broken process.

Why a single automation is the riskiest place to start with AI.

AI your team owns: from the ChatGPT tab to an operating system.

The hidden revenue framework.

The hidden revenue problem.

Three patterns, across industries.

Sales leakage

Capacity waste

Knowledge silos

Answer honestly.

Process first. Technology second.

Legal notice

Website owner

Use of this website

Intellectual property

Liability

Applicable law

Privacy policy

Data controller

What data is collected and why

Service providers

How long data is kept

Your rights

Security

Cookie policy

Necessary

Analytics (with consent)

Marketing (with consent)

Third-party services

Managing your choice

A clear AI roadmap first.
Then implementation built for ROI.

Start with a
free 30-minute call.