Your organisation already uses AI in marketing — or believes it does. An external audit reviews your tech stack, use cases, data quality, real return and risks. The diagnosis no internal provider will give you for free.
You've paid for AI consultancies or tools and aren't sure of the return. An external audit contrasts what was delivered with what was promised.
Board and CEO push for AI without quite knowing what for. An external audit brings judgement before committing the organisation to investments that may not pay back.
You have several tools with AI components (CRM, analytics, automation, ads). It's worth reviewing whether they are coherent or whether there are overlaps, gaps, or expensive duplications.
Banking, healthcare, public sector. European regulation (AI Act) is tightening — auditing AI use with a compliance lens avoids major surprises.
Mapping of the current stack with AI components, interviews with stakeholders (marketing, IT, data, legal), review of suppliers and contracts.
Evaluation of each use case: data quality, model accuracy, operational integration, measurable return. What pays back, what doesn't, what is duplicated.
Review of governance, GDPR compliance, AI Act, algorithmic bias, transparency towards the customer. Identification of critical risks.
Executive report with prioritised recommendations: what to keep, what to reinforce, what to discard, what to start. Defensible before board and committee.
An external AI audit brings value that is hard to obtain from within:
The internal team and the providers defend what is already done. The external audit doesn't have to justify past investments — only bring judgement.
Organisations with complex stacks often have tools with overlapping functionality. Auditing allows simplification and saves between 15 and 35% of annual tech cost.
The report identifies the 3-5 AI initiatives with the highest real potential for your business — and discards those that only add noise.
Specific review against AI Act and GDPR avoids sanctions, surprises and reputational risks. Vital for regulated sectors.
Professional document with external judgement backing decisions before the board, executive committee, or shareholders.
After the audit, the internal team knows what to focus on. Parallel initiatives without common judgement end — everyone rows in the same direction.
Services company with 6 overlapping AI tools. The audit detected duplications and proposed consolidation. Significant annual saving + operational improvement.
El marketing del cerebro es más predictible que el marketing de la opinión. — Ángel Ortega Castro
Retailer about to invest in a large AI project. The audit detected that the data didn't support the use case. Recommendation: invest first in analytical setup. Avoided a failed project.
Public administration with various AI initiatives. Audit focused on European compliance. Recommendations to align initiatives with legal framework before larger deployments.
CRM, events, content, campaign history.
Trained or generative algorithm guided by rules.
Lead prioritised, content published, decision taken.
The AI audit delivers particular value at these four moments. Before them they are improvised; after them, it's usually too late:
You've spent months or years hiring AI suppliers and tools without clear impact measurement. Auditing identifies what pays back and what doesn't, before investing further.
Before committing the organisation to a significant AI project, auditing the current state avoids repeating mistakes and lets you build on correct foundations.
Banking, healthcare, insurance, public sector. The European AI Act applies from 2025/2026 with growing rigour. Without external audit, the risk of non-compliance is serious.
New CMO, CTO, managing director coming in. An external audit provides a defensible starting view and avoids relying only on accounts from the previous team.
No. It's an external audit with a concrete deliverable: diagnosis and roadmap. We don't seek to stay on as permanent providers. The objective is that your organisation leaves with judgement to decide better, not dependent on us.
It depends on scope and company size. An audit for an SME with a small stack falls within modest budgets. For mid-sized organisations with several departments and tools, it scales proportionally. In the first session we define a realistic scope.
The internal team has incentives (sometimes unconscious) to defend what was already done. The external audit doesn't have that restriction. Plus, a view with sector perspective brings benchmarks that are hard to have internally.
Yes. We audit any AI component of the stack: predictive, generative, conversational, AI-powered automation. The scope is defined in the scoping phase at the start.
We don't compete in that segment. The big four do expensive and generic AI audits. I bring specialisation in AI applied to marketing specifically, with knowledge of real providers and sector benchmarks. It's complementary, not equivalent.
First 45-minute session, free of charge and no commitment. If we fit, I send you a detailed proposal within 5 days. If we don't, you take away a useful initial diagnosis.