AI Business Risk Management and Reverse Engineering

AI is nothing more than human designed amplification! Is it not fundamentally true? How can AI reverse engineering, create risk management and make it more human-centric?

What distinguishes humans is their languages. Our languages build the fabrics of our identities and our behaviours. It is the power of words.

In the world’s estimated 2,700 languages, the Greek language stands out for its centuries-long, unique and continuous path and special because of its storytelling and impact. If we also consider the extraordinary influence it exerted—both in terms of formation and content—on most of European culture and as well as other languages, Greek is, without exaggeration, perhaps the most important or powerful language in the so far history of our ever changing world. And now that we have a new language AI. 

This language is not just the most powerful language but an entry redesign of what it means language itself and therefore what it means being human?

If we don’t redesign AI, reverse engineering AI and all present technology iterations to be aligned with human design and I mean a balanced iteration of the best of humanity we will create a new Terminator alike dystopia monster that the old Greeks defined in the Prometheus, Icarus and Pandora Box powerful extremes of all humanity’s mythologies!

AI risk management is the process of identifying, evaluating, and reducing the risks associated with artificial intelligence (AI) technologies. It's a key part of responsible AI development and use. 

AI, SaaS, and the future of business models

Satya Nadella the CEO of Microsoft has described a future where SaaS business logic migrates to an AI layer, transforming the role of traditional SaaS apps. 

He believes AI agents can serve as intelligent orchestrators, integrating multiple platforms and consolidating various workflows, decision-making and automation into a tier of AI. This is a vision where advanced AI Agents replace part of humans features and kill a big part of the world economy!

I believe SaaS and business models need to be aligned with our Human Intelligence and design. The more I get into AI the more I believe in a synthesis of human and our AI evolutionary new AI enhanced capabilities! Not the other way around!

Essentially, Satya Nadella means that SaaS applications are or will look to revert to their most primal form of simple databases. At the same time, the AI layer takes the part of “intelligence”, organising and elaborating processes without being bound to a singular backend. Consequently, SaaS tools will become domain-specific enablers, losing their standalone prominence as the brain of business systems and transitioning fully to AI.

I believe that whatever AI Agents will do is AI SAAS and AI agents - the billions being created - have to be redesigned and reversed engineering by all SAAS to serve them, not the other way around.

Saas itself began in the 1960s, when large companies began using software as a service. Yet the idea of modern SaaS, as we know it now, began in the late '90s and early 2000s alongside high-speed internet and cloud computing technology.

During this time, companies fast forward SaaS in the digital realm and Salesforce pioneered the “no software” model, which set the basis of how software is being used today. The Salesforce CRM solution and all other models that come after, was / were accessed through a web browser — no software needed to be installed on a local machine. The digital model was in direct contrast to the software such as Microsoft's very own Windows delivery model experienced at the time, which required licenses to be purchased at the top of the hierarchy, while the software updates required manual management.

Gmail, is probably one of the ultimate master minds of SAAS as the search giant's cloud-based email service, which was launched in 2004 is a master player of SaaS. Gmail service showcased the importance of flexibility and access to personal information on the go. Gmail boasts over 1.8 billion users globally as of 2025. 

In September 2024, the platform recorded 10 billion monthly visits. Gmail holds a 30.70% share of the worldwide email client market. More than 121 billion emails are sent every day through Gmail. The global software as a service (saas) market size is estimated to grow by USD 562.6 billion from 2025-2029, according to Technavio. The market is estimated to grow at a CAGR of 23% during the forecast period. But this is nothing compared with the 3.5 trillion usd value of Microsoft and Nvidia each, and we’ll Google and Alphabet combined!

Deepseek in the last week of January 2025 wiped out in one day one 1 Trillion USD and around 600 billion alone of NVIDIA.

As we redefine the world economy with AI we have to seriously rethink the world economy and the business models we have! I repeat we are car crashing the world economy as we put our own societies in a self destructive auto pilot with the way we are letting chaos AI models take over.

We have to rethink AI. We have to reverse engineering AI and of course our society and economic models. Reverse engineering is in simple words the process of building, analysing and understanding the design, structure, and functionality of a product or system by working and growth hacking backward from its final form. It is a powerful concept and tool that allows us to better understand, analyze, and innovate in the face of growing engineering challenging system complexity across society l, economics and industries.

As I write this I want to make sure we think about this as we have the conventional economy, the gig economy and the creative economy.

Risk management work force and business

And let’s look at the world economy's employment numbers. In 2025, there were estimated to be approximately 3.6 billion people employed worldwide, compared to 2.23 billion people in 1991 - an increase of around 1.4 billion people, source Statista.

From the world numbers there are approximately 52 million active gig workers globally. The distribution for share of active workers was found to be generally right (positive) skewed but with a significant share of platforms having high percentages of active workers source world bank

We are already living in a dystopia like the ones envisioned by writer Philip K Dick’s.
I want to highlight an essay explaining why Henry Farrell and so do I think that our present and future are already somewhat something that is like something written by the science fiction author.

And yet I am speaking about AI reverse engineering but I want to shout and scream for anyone that wants to hear that:

Life is much, much more than any type of engineering problem, solution!

I want to highlight this as we have been creating social economic technology and new business models that are built on the foundations of infinite growth and prosperity but we forgot our inception of humanity design and philosophic duality and dialect identity or should I say complex systems and identities!

The concept of reverse engineering and AI risk management

Here I come again to the concept of Reverse Engineering!

We have to reverse the obsession with super intelligence for the sake of super intelligence! I repeat and I should scream AI is not more than human designed amplification!

As we take the roads untraveled our task as humans is to sail forth and innovate our models of life style, our tribes and our mechanics!

AI is the fundamental quest of our times. It is a quest that fundamentally redefines the nature of  evolution!

And with AI we have opened all gates of heaven and hell of the very best and worst of humanity!

What does AI risk management involve for you and your business?

• Identifying risks: Identifying technical risks, like security vulnerabilities, and non-technical risks, like ethical considerations 
• Assessing risks: Measuring the likelihood of failure and the severity of the impact 
• Developing strategies: Creating policies and procedures to reduce the risk of negative impacts 
• Monitoring and responding: Keeping an eye on the AI environment and responding to changes 
• Ensuring compliance: Making sure AI systems are in line with ethical and legal standards 

Why is AI risk management increasingly more important for businesses?

• It helps ensure that AI systems are safe and ethical 
• It helps ensure that AI systems are used responsibly and fairly 
• It helps ensure that AI systems are compliant with relevant regulations 
• It helps ensure that AI systems are used in a way that respects human rights 

What resources can help with AI risk management?

• AI risk management frameworks: Provide a structured approach to AI risk management 
• Look at your country and international best practices and the most important Sensible Regulatory Framework for AI Security: Offers technical insights into AI risks and proposes regulations to mitigate them