TTAMARAStrategic Artificial Intelligence Consulting Meeting

Strategy · Operations · Business decisions

Artificial intelligence consulting for businesses.

If your team spends too much time finding information, repeating tasks or coordinating work, the first step is understanding why and what is worth improving.

I am Tamara González Molina, a Strategic AI Consultant and Functional AI Solutions Architect. I turn operational challenges into priorities and clear requirements to guide investment decisions.

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Madrid · Balearic Islands · MarbellaIndependent consulting

My approach

I start by understanding the business.

The assessment starts with your objectives, the work people actually do and how information flows. I do not sell tools or develop software. I define what to address and how the solution should work; development and integrations, if needed, belong to a subsequent technical phase.

I do not sell tools or develop software. I define priorities and functional requirements. Any technical implementation is assessed separately.

Where I can help

Processes we can examine.

Sales enquiries and follow-up

Enquiries that require information from several sources, proposals that need to be rewritten and opportunities that lose continuity. I examine the journey from request to response.

Operations and coordination

Duplicated tasks, stalled approvals and requests without a clear owner. I review the complete process to identify what to simplify, automate or support with AI.

Organisational knowledge

Scattered procedures and answers that depend on one person. I examine sources, ownership, updates and permissions before considering an assistant.

Management information

Manual reporting and customer feedback that accumulates. I define which decisions need support and which reliable data could inform them.

How I work

From current processes to an action plan.

01
Understand
Objectives, actual work, information flows and the people responsible.
02
Assess and prioritise
Friction points and opportunities, ranked by potential value, feasibility, effort and risk.
03
Define and validate
Requirements, next steps and measures to test an improvement before expanding it.

Explore the phases, deliverables and collaboration model. · Explore illustrative examples and interactive cases.

Before we start

Questions about the engagement.

Do I need to choose an AI tool first?

No. We assess the problem first. The appropriate response may be a process change, conventional automation or generative AI.

Do you develop software?

My work focuses on assessment, strategy and functional design. Development and integrations are a separate phase, evaluated with your team or technical provider.

How are scope and price agreed?

After the initial conversation, you receive a proposal specifying the processes, participants, deliverables, timeline and price before engaging the service.

Can we work remotely?

The working arrangement depends on scope. Remote sessions and any necessary on-site visits are agreed beforehand.

How is value measured?

We agree indicators tied to the process and a baseline. Estimates state their assumptions; a pilot can validate the improvement. Specific savings are not guaranteed in advance.

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An initial conversation

Let’s discuss the process you want to improve.

In an initial 30-minute phone call, we discuss your context and whether an assessment is appropriate. Scope, deliverables, timeline and price are agreed before committing.