AI innovation assessment
Two weeks inside your business. You come out with a map of opportunities, priorities and budget. It is the gateway to everything else.
AI innovation consulting
AI innovation consulting with AI for companies
Where AI saves you time, where it makes you money and where it isn't worth it.
Consulting
What AI innovation consulting is
AI innovation consulting doesn't start by choosing a tool. It starts with your business: what your team does every day, where time is lost, what knowledge you have that hasn't yet become a product and which decisions are made without data.
With that information I identify the real opportunities, rank them by impact and effort and turn them into a roadmap with priorities, budget and compliance with the EU Artificial Intelligence Act. Then we test it with prototypes your team can use before investing in full development.
I don't sell hours or licences. If AI makes no sense for a process, I'll tell you. Not depending on me at the end is also part of the job.
Formats
Three ways to start
External head of innovation
Several months as your part-time director of innovation and AI: strategy, tool selection, prototypes and follow-up, for a monthly fee.
Transformation project
Process redesign and AI rollout in one specific area, measured before and after.
In detail
The assessment, step by step
What the two-week assessment looks like
The first week is about listening. I talk to leadership and to the people who do the work, review processes, tools and data, and note where time is lost, where tasks repeat and what knowledge is trapped in documents or in someone's head.
The second week is about deciding. I rank the opportunities by impact, effort and risk, estimate budget and timelines, check what the EU AI Act requires for each case and present the roadmap to leadership with a clear recommendation on where to start.
What you get at the end
- A map of AI opportunities in your company: what to do now, what can wait and what isn't worth it.
- A prioritised roadmap, with estimated budget and timelines for each initiative.
- A risk analysis of each use under the EU AI Act.
- A proposal for the first prototype: what it solves, how it is measured and what it costs.
- Tool recommendations and what your team can do on its own.
Where AI usually adds the most
- Customer service: faster, more consistent answers, using company information and with human oversight.
- Sales and marketing: proposals, sales follow-up and brand content in the company's voice.
- Operations and administration: documents, reports and repetitive tasks done by hand today.
- Internal knowledge: assistants that answer using the team's manuals, procedures and experience.
- Product: new features or services built on what the company already does well.
What not to do
- Starting with the tool instead of the problem.
- Automating a process that already works badly: AI just makes it fail faster.
- Launching projects without a before-and-after metric.
- Relying on a provider who leaves no documentation and doesn't train your team.
How I work
1. Listen
A one-hour conversation. What hurts, what you've tried, what you'd like to happen.
2. Diagnose
Two weeks inside your business. I come out with a map of opportunities and a budget.
3. Design
Product, experience and architecture, with a prototype you can touch before we build.
4. Build
In short cycles, showing results every two weeks, with your team on board.
5. Measure
Data before and after. If it can't be measured, I don't sell it.
6. Transfer
I train your team and leave you the documentation. Not depending on me is part of the job.
Six steps, one team.
Let's talk about your challengeCases
Projects you can see
What I propose to a company I have already built in my own projects. You can open them and use them.
Digital product · Artificial intelligenceDiariodeemociones.comAn app that connects emotions and needs through a visual interface.
Database · Scientific evidenceSuplementos.aiSupplements, drugs, food and habits: what science says, with its level of evidence and its citations.
Self-publishing · AI-assisted editorial productionCreautores.comA platform that turns knowledge and experience into books of your own.
3D visualisation · Medical productSensiusA 3D studio to explain ERIQA, Sensius's hyperthermia system, and see it in motion.Experience
Experience
For more than fifteen years I worked on innovation projects for Disney, Red Bull, BBVA, National Geographic, Vodafone and many other brands through my agency nubbo.eu. That experience taught me to turn an idea into a project that reaches people. Today I combine it with artificial intelligence to create products, improve processes and open new lines of business.
AI and the EU Artificial Intelligence Act
The EU AI Act classifies systems by risk level and sets obligations for transparency, documentation and human oversight. Every proposal I make states the risk level of the intended use and what your company would need to comply with, so innovation doesn't become a legal problem.
Questions
Frequently asked questions
What does an AI innovation consultant do?
They analyse the business, find where artificial intelligence adds real value, prioritise those opportunities with a budget and support their rollout with prototypes, team training and measurement of results.
Where do we start?
With a two-week assessment. At the end you have a map of opportunities with priorities and budget, and you can decide what to do with it, with or without me.
How much does it cost?
It depends on the scope. The assessment has a fixed budget agreed after a first one-hour conversation. Ongoing work as an external head of innovation runs on a monthly fee.
How long until there are results?
The assessment takes two weeks. Prototypes are built in short cycles and I show results every two weeks, with your team on board.
Do I need a technical team?
No. I design the solution with your team and choose technology you can maintain. If development is needed, I coordinate it and leave you the documentation.
What happens to our data?
They are handled with the minimum access needed, and for each case we choose where they are processed. Confidentiality and GDPR compliance are part of the proposal from the start.
Does it comply with the EU AI Act?
Every proposal states the risk level of the intended use and the obligations it entails: transparency, documentation and human oversight.
What kind of companies is it for?
For mid-sized companies and teams that can't hire someone in-house for AI innovation and don't want an agency selling them hours.
Resources
Further reading
How much does it cost to implement AI in an SME? What drives the priceWhat determines the cost of implementing artificial intelligence in an SME, which costs are often forgotten and how to start with little risk.What an AI assessment is and what it should includeWhat an AI assessment for companies is, which deliverables it should include and how to tell a useful one from one that only sells tools.The EU AI Act explained for companiesWhat the EU Artificial Intelligence Act is, how it classifies risk, which dates matter and what a company using AI should review.
All resourcesLet's talk
Write to me. I answer myself.
To apply AI in your company, build a product, self-publish your book or prepare a training session. Tell me what you want to create and where you are now.
contacto@javieralejandro.esAI innovation consultant · Author