code4thought

TRUSTWORTHY AI

SOFTWARE QUALITY

TRUSTWORTHY AI

AI Technology
Due Diligence

SOLUTIONS > AI TECHNOLOGY DUE DILIGENCE
Performing a reliable due diligence on AI companies and systems necessitates an AI Technology Due Diligence. This process requires a thorough understanding of the AI model or algorithm to identify hidden risks and opportunities specific to the AI technology. Our AI Technology Due Diligence solution is designed to meet this need effectively. Using our AI Quality Testing Platform, we can evaluate any AI-based system, providing a detailed risk analysis and a practical roadmap for improvement. Identifying the hidden risks and opportunities stemming from AI technology is crucial for a thorough due diligence process of any AI company or system. These risks:
  • Cannot be assessed through any other type of analysis or method
  • Require expert tools and knowledge
  • May significantly impact the investment value
The data-driven analysis of our AI Quality Testing Platform in combination with the expertise of our AI engineers and advisors help us identify the hidden AI-related risks and opportunities for a given investment.
Our testing capability leverages the ISO 29119-11 international standard to analyze various data and AI models comprehensively. By delving into the AI model and its data, we provide clients with a thorough understanding of their AI systems. Our evaluation focuses on the system’s Quality, encompassing performance, trustworthiness, fairness, transparency, robustness, security, and reliability. This multi-faceted approach ensures that AI systems not only meet business operational requirements but also maintain ethical standards, security, and transparency.
Features
AI Technology Risk Analysis
We identify and evaluate AI-related findings — not only the obvious main frameworks in use, but also crucial processes/steps such as data analysis and preparation, model’s deployment and so on. Subsequently we translate these findings into business risks alongside with the respective mitigation measures.
Context-specific Analysis
In such analysis we clarify the future adaptability, scalability, and integration ability of the target company’s AI-model, giving our clients a factual and context-specific basis to understand the feasibility and likely costs of future growth.
Post-transaction Improvement Roadmap
A topline set of recommendation regarding improvement areas. Our guidance is practical, pragmatic and can lead to measurable results, that can be confirmed through our AI Quality Testing Platform. That means you can start your improvement plan right away alongside our guidance and advisory.
Why us
Reliable tools & methodology
Our testing and analysis of data & AI model is based on the ISO 29119-11 international standard for testing AI-based systems and is combined with our extensive experience in performing IT Due Diligence for corporations in various industries.
Industry, Model and Data-Agnostic solutions
We support the analysis of any type of AI-model (from a simple rule-based to a deep learning one) and data (i.e. from credit risk datasets to image and video data). In that way we are flexible enough to help organizations across different business domains, from healthcare and high-tech to telecoms, banking and government.
Client – specific approach
Should you have any particular concerns and/or additional research questions and aspects that you would like to study and further delve into, we can always accommodate a suitable solution.
Combination with IT Due Diligence
If required, our AI Technology Due Diligence can be effectively combined with our IT Due Diligence service, diving deeply in all digital assets and delivering full scale and complete evaluation.
Continuity
Following a successful acquisition, we can further assist you in optimizing your assets for growth and efficiency.
Cross-Disciplinary Expertise
Our team combines legal, technical, and ethical perspectives on AI governance. By assembling a team of experts with diverse backgrounds and skill sets, code4thought provides solutions that address the multifaceted challenges of the AI domain.
Proven Track Record
code4thought has an extensive track record in assessing risks associated with large-scale software systems across various industries and sectors. Our experts are (more than) capable in identifying, analysing, and mitigating complex risks inherent in software development and deployment. Such experience offers valuable insights and best practices that are also applicable to AI systems operating in diverse contexts.
Benefits

Identification of the hidden risks and opportunities

that stem from the AI technology itself. These risks cannot be assessed through any other type of analysis and method and may have significant impact on the investment value.

Insight into other due diligence streams

With our AI DD, whether it’s a business executive or a machine learning engineer, all stakeholders get the appropriate insight. Especially for the former, the outcome of our work provides experts in other workstreams irreplaceable insights into everything affecting CAPEX and OPEX projections, to AI system’s quality and level of trustworthiness on its way of working.

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