AI Consulting

Artificial intelligence consulting for companies

From idea to results: I help you decide where AI is worth investing in, how to prioritize use cases and how to measure the return. Strategy, implementation and training in a single engagement.

When it makes sense

Signs you
need a strategy

AI rarely fails because of the technology. It fails for lack of focus, data, adoption or a clear way to measure the return. If any of these sound familiar, consulting can save you time and money.

  • 01You've tried a handful of tools, but you're not seeing real business impact.
  • 02You can't tell which AI use cases are worth it and which are just hype.
  • 03Leadership wants results, and there are still no clear metrics or criteria.
  • 04Data, security, privacy or regulatory compliance are a concern.
  • 05You want to adopt AI in a structured way, not through isolated experiments.
  • 06You need to train your team while you shape a realistic strategy.

Services

What's included in
AI consulting

I don't sell reports that end up in a drawer. I work with you to define a realistic strategy and stay with you until AI delivers measurable value.

01

AI opportunity assessment

We review processes, data, tools and goals to pinpoint where AI can create value, and where it isn't worth investing.

02

Use case prioritization

We weigh impact, effort, risk and feasibility. The result is a short list of use cases with a defensible return.

03

Roadmap and implementation

We build a phased plan with owners, resources, vendors and metrics, and stay with you through execution so it doesn't end up as a slide deck.

04

Governance, risk and compliance

Responsible use policies, data protection, security, bias and the EU AI Act. Adopt AI without putting the business at risk.

05

Training and internal adoption

We train executives and teams to use AI, connecting strategy with everyday work and real projects.

06

Measuring ROI

We set KPIs before we start and measure impact: time saved, cost savings, revenue, quality and adoption.

Method

How we work
together

01

Understand the business

We talk goals, processes, data and people. Without context, there's no good AI strategy.

02

Assess and prioritize

We identify opportunities, risks and roadblocks, and prioritize the use cases with the highest return.

03

Design the roadmap

We define phases, resources, tools, metrics and an AI governance model.

04

Support and measure

We support the rollout, review results and adjust so AI delivers lasting value.

Juan Beltrán, artificial intelligence consultant

Who you'll work with

Juan Beltrán,
AI consultant and trainer

I apply AI in real projects before I recommend it. That experience lets me tell a real opportunity from a passing trend, and guide you with business judgment, not just technical know-how.

If you're looking for an AI consultant who speaks the language of business, we'll get along.

Industries

Experience across
very different industries

Software and technologyProfessional servicesManufacturing and machineryHealthcare and clinicsTourism and hospitalityLegalEducationRetail and distributionEventsE-commerceHuman ResourcesFinance

FAQ

Questions before
hiring a consultant

How is AI consulting different from buying tools?+

Tools come at the end of the process. First you need to understand the business, prioritize use cases, prepare data and measure results. Buying tools without a strategy is the fastest way to lose money.

Do you work with small and mid-sized companies?+

Yes. I scale the scope and budget to the size of the company. With smaller companies, I usually start with a short assessment and a pilot use case.

How long does a consulting project take?+

An assessment can be done in 1 or 2 weeks. A roadmap with hands-on support usually runs 1 to 3 months, depending on scope and rollout speed.

Do we need our data ready?+

Not to get started. The assessment includes a review of your data and what each use case needs.

Do you also build the solution?+

Yes. I can handle just the strategy, or also build the agents, automations and integrations with your systems.

How do you measure the success of consulting?+

With metrics agreed before we start: adoption, time saved, cost savings, revenue, service quality or fewer errors.

Contact

Request an
AI assessment

Tell me briefly about your context, the processes you want to improve and what you've tried so far. I'll get back to you with next steps.

Prefer to write directly? I answer every message personally · LinkedIn ↗