Service

AI Audit

We’ll analyse where and how artificial intelligence delivers real, measurable value to your company

Audit packages and prices

Fixed-price packages with clearly defined deliverables. Choose the level that best suits your company’s maturity.

Entry level

Basic audit

100,000 Ftnet / project

A quick, focused assessment: what AI tools does the company use, and what risks do they pose?.

  • Compiling an AI system inventory
  • EU AI Act risk classification
  • Prioritised list of gaps relating to intervention points
  • Executive Summary
  • 1–2 weeks’ lead time
Most popular

In-depth audit

200,000 Ftnet / project

A detailed analysis, comprehensive documentation and an EU AI Act compliance roadmap for the large-scale roll-out of AI.

  • Complete AI system inventory
  • Detailed risk analysis
  • EU AI Act Compliance Roadmap
  • Governance documentation
  • Prioritised remediation plan
  • 2–4 weeks’ lead time
Focus on security

AI security audit

300,000 Ftnet / project

Assessment of the security risks associated with AI systems, an incident response plan and recommendations for hardening.

  • AI security risk assessment
  • Prompt injection test
  • Data Protection Compliance (GDPR)
  • Access Management Audit
  • Incident Management Plan
  • 3–5 weeks’ lead time

Prices are net, project-based fees. We provide bespoke quotes for specific requirements or larger-scale projects.

Most companies realise that artificial intelligence can provide a competitive advantage, but they are unclear about where to start, what will deliver a quick return on investment, and where the risks lie. BeBrand’s AI Audit is a structured, business-focused assessment that maps out a company’s processes, data assets and current use of AI, before providing a prioritised, action-ready plan.

The audit is not a technological assessment for its own sake, but rather a means of preparing for decision-making. It highlights the areas where AI delivers rapid, measurable results, whilst also identifying gaps in data protection, security and regulatory compliance, including compliance with the EU AI Act and the GDPR. We operate at three levels of depth, ranging from a basic assessment to a comprehensive executive-level review and a dedicated AI security audit, so you can always choose a package that suits your organisation’s maturity and objectives.

Benefits

A clear overview: you can see exactly where your company stands in terms of AI adoption and where there is untapped potential. Prioritised focus: we highlight the areas with the greatest business impact and the fastest return on investment, using a scoring system based on impact and expenditure. Material ready for decision-making: you will receive a document and a timetable that can be presented at management level, not just general recommendations. Risk and compliance: we identify gaps in data protection, security and regulatory compliance (EU AI Act, GDPR) before they turn into incidents. Practical feasibility: each proposal is backed by a specific next step, a designated person responsible and a key performance indicator. Quick return on investment: the basic audit delivers tangible results in just a few weeks.

Types of audit

We work across three levels of depth, tailored to the company’s maturity and objectives. Each can be used independently, and they can also build on one another.

Basic audit

A focused, rapid assessment of where artificial intelligence can best drive the company forward. We review current operations, data assets and the team’s capabilities, then provide a prioritised list of quick wins and strategic initiatives. Ideal for those who are just getting to grips with AI, or who want a clear, well-founded picture before making a major decision.

What you’ll receive

A list of 5–10 prioritised AI opportunities, scored according to impact and cost Identifying quick wins that can be implemented within a few weeks An honest assessment of the AI maturity of the data and operations A roadmap document that can be presented to senior management or the board of directors A two-week turnaround from start to handover

How do we work?

Assessment interview: A 60-minute structured consultation on the company’s objectives, operations and current systems.

Overview of operations: We will map out the key processes, data sources and tools used across 3–5 focus areas.

Scoring the options: We assess every AI use case in terms of business impact, feasibility and payback period.

Handover of the roadmap: A clear and concise document and a 60-minute joint discussion, with the next steps set out in order of priority.

In-depth audit

A comprehensive due diligence process, typically lasting 4–6 weeks, for medium-sized and large enterprises that are seriously preparing to introduce AI at management level. We work with several departments, carry out a technical assessment of the data infrastructure, conduct interviews with key stakeholders, and deliver a comprehensive transformation strategy complete with a financial model, risk assessment and a phased implementation plan.

What you’ll receive

A cross-departmental AI opportunity map covering at least five business areas Detailed financial model: investment, return on investment (ROI) and payback period Technical review of data architecture, security and integration readiness Risk and compliance assessment (data, regulation, change management) A scheduled transformation roadmap spanning 12–24 months, with designated responsible parties and key performance indicators Management presentation and supporting documentation

How do we work?

Interviews with key figures: 8–15: Meeting with senior management and operational teams to assess the current situation and objectives.

Technical and data audit: A practical review of the data infrastructure, the tools and the integration environment.

Use case workshops: Joint working sessions to identify and validate high-value AI applications across the entire organisation.

Drawing up a strategy: A comprehensive roadmap, financial model and executive summary, delivered within 4–6 weeks.

AI security audit

Identifying and addressing security, data protection and compliance gaps in AI systems before they lead to incidents. As AI becomes more widespread, the attack surface also grows: prompt injection, data leaks via language models, model poisoning, shadow AI, and regulatory exposure under the GDPR and the EU AI Act. We recommend this course to those who are already using AI in a live environment, or who will be doing so soon.

What you’ll receive

A threat model tailored to your AI architecture (language models, RAG, agents, custom models) Identifying sensitive data flowing to third-party AI APIs Review of access controls, prompt filtering and output validation Compliance gap analysis: Alignment with the GDPR, the EU AI Act and ISO 42001 Practical repair plan, ranked by severity and cost

How do we work?

Scope and inventory: We are mapping all the AI systems used within the company, including any ‘shadow AI’ tools used informally by teams.

Threat modelling: For each system, we model real-world attack vectors and identify vulnerabilities.

Technical testing: A targeted investigation into resistance to prompt injection, data leakage pathways and access controls.

Repair roadmap: A prioritised report detailing specific fixes, organised by risk severity and implementation cost.

Whether you’re just taking your first steps or preparing for a comprehensive AI strategy, the AI Audit is the quickest and lowest-risk entry point. From a basic assessment to an in-depth executive-level audit and a dedicated security review, you can always choose the level of detail that best suits your organisation’s maturity.

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