Auditing opportunities and integrating AI into your business

We analyze your processes, choose the right pieces of AI and design clear experiences for your team and your users. From video, audio and image generation to agents that respond, classify and automate tasks in the background.

We analyze how you use AI today.

We review your processes, tools and flows to detect gaps, risks and real opportunities for improvement. We identify where AI adds value and where it only adds complexity. The objective: a clear, objective and actionable X-ray.

We audit your architecture and current AI usage.

We conducted a detailed inventory of models, prompts, flows, dependencies and integration points. We evaluate latencies, costs, vendor reliability, quality of data input/output and how it impacts each process. We identify technical bottlenecks and structural risks.

We test your models as an external auditor would.

We run A/B tests, stress tests, hallucination detection, bias analysis, prompts validation and load simulations. We measure accuracy, consistency, degradation, resilience and response to complex inputs. All compared to industry standards and best implementation practices.

We design your AI plan for the coming months.

A clear roadmap: which processes to automate first, which tools to use, with improvements, mitigations and optimizations: which processes to automate, which models to replace, which integrations to adjust and how to reduce operational costs. Includes technical checklist, impact/effort matrix and architecture recommendations.

We evaluate your company from all angles

Brand analysis and corporate narrative

We review your identity, tone, value proposition, visual consistency and AI's ability to amplify your message without distorting the brand. We identify inconsistencies and opportunities for generative standardization.

Assessment of the company and its digital maturity

We study your structure, departments, digital governance, current tools and level of technology adoption. We define which cultural, technical or operational barriers hinder the integration of AI.

Audit of processes and operational flows

We map tasks, roles, workloads, friction points and dependencies. We detect repetitive, manual or inefficient processes where AI can save time, reduce risk and increase capacity.

You are one call away from your goal,

Do you want us to help you?

Discover how companies like yours have solved problems and achieved their goals. No matter the size of the challenge, we are ready to help you move forward with visible and measurable results.

This is how we do it

First contact

We start with an alignment session to understand your business, your objectives and your operational constraints. We define the scope, risks, required access and audit success criteria. The purpose is to establish a solid framework before analyzing systems, data or processes.

We conducted an exhaustive investigation

“We become specialists in your sector”

We analyze your company from three angles: people, processes and market. We interview key roles, review how work flows, evaluate data quality and study the competitive context. The objective is to obtain a complete and accurate view of the operational reality.

We define the requirements

We transform all collected information into clear and structured deliverables: users, processes, roles, functional architecture and first AI hypotheses.

This phase organizes the complexity and allows us to design solutions with rationale, not assumptions.

Presentation of the report and conclusions

We present a complete report with technical, operational and strategic analysis, along with a prioritized action plan.

We detail which initiatives have the greatest impact, which risks need to be mitigated and which steps need to be implemented immediately. All oriented to clear decisions.

A Project Manager always at your disposal

From day one, you will have a Project Manager who will guide you through every step of the process. He/she will make sure to keep you informed of where the project is at, how it is evolving and if there are any setbacks (which we will try to avoid or solve in the best possible way 😉).

Think of the value you bring to by having a full UX team at your disposal...

Digital product manager

Product Owner

He works closely with the stakeholders and the development team, is in charge of project follow-up and is responsible for ensuring that the product is designed and developed according to the needs and desires of the end user.

User experience researcher

UX Researcher

Leads interviews, surveys, user testing and identifies problems and new opportunities. Responsible for collecting and analyzing user needs to inform product design teams.

User experience designer

UX Designer

Responsible for designing the information architecture of a digital product. He creates logical structures, sitemaps and navigation schemes, with the objective of creating an intuitive navigation and facilitating the search for information.

Content Designer and UX Copy

UX Writing and Copy

Responsible for creating the content of each screen, making the user understand what steps to follow and connecting with their needs through clear messages with a persuasive tone that represents the brand’s value proposition.

SEO Specialist

Technical SEO and content SEO

Its function is to ensure that the design and structure of the website is optimized for search engines, with techniques such as optimizing titles and meta descriptions, improving accessibility and loading speed.

User interface designer

UI Designer

Responsible for creating the aesthetics of the digital product ensuring that the interface is attractive and easy to use for users. Establishes design standards and patterns, ensuring consistency in design and overall user experience.

Designer of design systems

Design System Specialist

Develops a set of consistent and scalable design standards. Creates style guides, components and collaborates with developers to implement these systems, facilitating standardization and agility in the process.

Frontend and backend developers

Development

It is a crucial complementary role to create a functional digital product. Front-end is in charge of building and optimizing the user interface and Back-ends focus on the functionalities and infrastructure of the interface.

Let's talk!

Questions, not so often asked...

What does an AI integration audit consist of?

It’s a complete analysis of how your company uses (or could use) AI. We review processes, tools, flows and architecture to detect real opportunities, risks and points where AI brings value… and where it shouldn’t be.

⚙️ Is this audit only technical?

No. We evaluate the business from several angles: operational processes, digital maturity, branding and storytelling, technical architecture and user experience. AI does not work in isolation: it has to fit into the business reality.

🤖 What kind of AI uses do you analyze?

From image, video or audio generation, to agents that respond, classify, automate tasks or work in the background. We analyze both user-visible tools and internal automations.

🔄 What if we are already using AI in-house?

We start from there. We audit how it is being used: models, prompts, flows, integrations and costs. We identify gaps, redundancies, risks and possible improvements for AI .

🧪 Do you actually test the models or do you just analyze them on paper?

We test them as an external auditor would. We run A/B tests, stress tests, hallucination detection, bias analysis and prompts validation. We measure accuracy, consistency, resilience and degradation.

🛡️ How do you assess the risks of AI?

We analyze latencies, costs, vendor dependency, input and output data quality, model reliability and structural risks. The audit seeks to reduce risks before scaling solutions.

🗺️ Does the audit include an action plan?

Yes. We designed a clear roadmap for the coming months: what to automate first, which models to use or replace, which integrations to adjust and how to reduce operating costs.

🗣️ Do you also analyze the impact of AI on the brand?

Yes. We review identity, tone and narrative to ensure that the AI amplifies the brand message without distorting it. Consistency is key when introducing automatic content generation.

🧭 Is this useful even if we are not clear where to start with AI?

Especially in this case. The audit serves to bring order, eliminate smoke and define a realistic starting point, aligned with capabilities, culture and business objectives.

👥 Who is involved in the process within the company?

We work with management, operations and key teams. We interview critical roles to understand how work flows and where AI can add the most value without breaking existing processes.

🚀 How do we start an AI audit with Audax?

With an alignment session. We define objectives, scope, risks and success criteria. From there we audit with method and deliver an actionable plan, not a theoretical presentation.