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The multi-ML stage is where companies move to creating AI systems, demanding system-level thinking, modular ML design and robust MLOps practices, but resulting in far greater customer value than any single model could achieve.
The AI-driven company: multi-ML – Software Driven World
Software Driven World
janbosch.com
November 9, 2025 at 8:01 AM
The multi-ML stage is where companies move to creating AI systems, demanding system-level thinking, modular ML design and robust MLOps practices, but resulting in far greater customer value than any single model could achieve.
Dynamic ML is the point where AI-enabled products start to evolve during operation and where we move from pretrained to contextual intelligence. The benefits include improved user experience, operational efficiency and competitive advantage.
The AI-driven company: dynamic ML – Software Driven World
Software Driven World
janbosch.com
November 2, 2025 at 8:01 AM
Dynamic ML is the point where AI-enabled products start to evolve during operation and where we move from pretrained to contextual intelligence. The benefits include improved user experience, operational efficiency and competitive advantage.
When incorporating AI and ML in products, most companies first embed pretrained models sourced from the outside. This is a great first step, but it’s only a foot in the door. It’s important to keep evolving to the higher steps in our maturity model.
The AI-driven company: static ML – Software Driven World
Software Driven World
janbosch.com
October 26, 2025 at 8:01 AM
When incorporating AI and ML in products, most companies first embed pretrained models sourced from the outside. This is a great first step, but it’s only a foot in the door. It’s important to keep evolving to the higher steps in our maturity model.
The third and final maturity ladder in this series is concerned with the product itself. We identified and discussed the five steps that companies move through: static ML, dynamic ML, multiple ML, continuous ML and AI-first products.
The AI-driven company: the AI-enabled product – Software Driven World
Software Driven World
janbosch.com
October 19, 2025 at 7:00 AM
The third and final maturity ladder in this series is concerned with the product itself. We identified and discussed the five steps that companies move through: static ML, dynamic ML, multiple ML, continuous ML and AI-first products.
The Kaizen AI generator stage represents the culmination of the AI-driven company journey for R&D. The principle is systems should never stand still but continuously adapt and advance. System should continuously evolve and improve.
The AI-driven company: the Kaizen AI generator – Software Driven World
Software Driven World
janbosch.com
October 12, 2025 at 7:01 AM
The Kaizen AI generator stage represents the culmination of the AI-driven company journey for R&D. The principle is systems should never stand still but continuously adapt and advance. System should continuously evolve and improve.
Moving from using AI agents as augments to fully autonomous generation of systems, humans become the supervisors, validators and strategists. We need to be more concerned with asking the right questions than building the system.
The AI-driven company: AI system generators – Software Driven World
Software Driven World
janbosch.com
October 5, 2025 at 7:00 AM
Moving from using AI agents as augments to fully autonomous generation of systems, humans become the supervisors, validators and strategists. We need to be more concerned with asking the right questions than building the system.
The AI supercharger stage presents a major shift: one human with AI agents can be more productive than an Agile team. For this, we need sophisticated infrastructure, human oversight, strong governance and a cultural shift from command to orchestration.
The AI-driven company: AI superchargers – Software Driven World
Software Driven World
janbosch.com
September 28, 2025 at 7:00 AM
The AI supercharger stage presents a major shift: one human with AI agents can be more productive than an Agile team. For this, we need sophisticated infrastructure, human oversight, strong governance and a cultural shift from command to orchestration.
The second stage, the AI compensator, one or more AI agents support teams in areas where they lack skills or competencies. Teams may have a significant level of proficiency and still benefit from AI agents to complement and compensate for team members.
The AI-driven company: AI compensators – Software Driven World
Software Driven World
janbosch.com
September 21, 2025 at 7:00 AM
The second stage, the AI compensator, one or more AI agents support teams in areas where they lack skills or competencies. Teams may have a significant level of proficiency and still benefit from AI agents to complement and compensate for team members.
The first step on the R&D maturity ladder is engineers using LLMs and AI agents for productivity improvement. These AI assistants can help in several areas including: code-related, knowledge management, workflow, communication and cognitive support.
The AI-driven company: AI assistants – Software Driven World
Software Driven World
janbosch.com
September 14, 2025 at 7:00 AM
The first step on the R&D maturity ladder is engineers using LLMs and AI agents for productivity improvement. These AI assistants can help in several areas including: code-related, knowledge management, workflow, communication and cognitive support.
After the business process AI maturity model, we’re diving into the AI-driven R&D process. We identify five stages that companies evolve through in their R&D: AI assistant, AI compensator, AI supercharger, AI system generator and kaizen AI generator.
The AI-driven company: the R&D process – Software Driven World
Software Driven World
janbosch.com
September 7, 2025 at 7:00 AM
After the business process AI maturity model, we’re diving into the AI-driven R&D process. We identify five stages that companies evolve through in their R&D: AI assistant, AI compensator, AI supercharger, AI system generator and kaizen AI generator.
Finally, the AI-first organization where every activity in the company has been redesigned from an AI-first perspective. Three aspects to consider: AI capabilities being a moving target, the role of humans and the ecosystem perspective.
The AI-driven company: AI-first organization – Software Driven World
Software Driven World
janbosch.com
August 31, 2025 at 7:00 AM
Finally, the AI-first organization where every activity in the company has been redesigned from an AI-first perspective. Three aspects to consider: AI capabilities being a moving target, the role of humans and the ecosystem perspective.
The fourth level in our AI-driven organization maturity model is the super-agent phase. Previously disconnected AI-first business processes are linked with continuously optimizing connections that improve efficiency, lower cost and provide other benefits.
The AI-driven company: super-agents – Software Driven World
Software Driven World
janbosch.com
August 24, 2025 at 7:00 AM
The fourth level in our AI-driven organization maturity model is the super-agent phase. Previously disconnected AI-first business processes are linked with continuously optimizing connections that improve efficiency, lower cost and provide other benefits.
In the third step, “local AI-first,” we adopt a zero-based design approach, rethinking the business process from the ground up. This reengineering starts from: if we were to design this process for AI from the start, what would it look like?
The AI-driven company: local AI-first – Software Driven World
Software Driven World
janbosch.com
July 6, 2025 at 7:00 AM
In the third step, “local AI-first,” we adopt a zero-based design approach, rethinking the business process from the ground up. This reengineering starts from: if we were to design this process for AI from the start, what would it look like?
The second step in our maturity model is automation 2.0. Here, we automate or significantly support individual steps in a business process that couldn’t be automated without the help of AI agents. We discuss three main challenges and three main enablers.
The AI-driven company: automation 2.0 – Software Driven World
Software Driven World
janbosch.com
June 29, 2025 at 7:00 AM
The second step in our maturity model is automation 2.0. Here, we automate or significantly support individual steps in a business process that couldn’t be automated without the help of AI agents. We discuss three main challenges and three main enablers.
Playtime is the first stage in our maturity model and the impact on individual professionals can be quite profound. E.g. automating routine cognitive tasks, managing information overload, improved decision-making, sparring or task execution assistant.
The AI-driven company: playtime – Software Driven World
Software Driven World
janbosch.com
June 22, 2025 at 7:01 AM
Playtime is the first stage in our maturity model and the impact on individual professionals can be quite profound. E.g. automating routine cognitive tasks, managing information overload, improved decision-making, sparring or task execution assistant.
In this post, I present a maturity model for how companies evolve and develop using AI through five stages: playtime, automation 2.0, local AI first, super-agents and the AI-driven company. Please share your thoughts and insights!
janbosch.com/blog/index.p...
janbosch.com/blog/index.p...
The AI-driven company: a maturity model – Software Driven World
Software Driven World
janbosch.com
June 15, 2025 at 7:01 AM
In this post, I present a maturity model for how companies evolve and develop using AI through five stages: playtime, automation 2.0, local AI first, super-agents and the AI-driven company. Please share your thoughts and insights!
janbosch.com/blog/index.p...
janbosch.com/blog/index.p...
The fourth main area of challenges for companies seeking to become AI-first is regulatory compliance. There are five main concerns: difficulty of interpretation, risk avoidance, need for human oversight, non-deterministic behavior and lack of automation.
The AI-driven company: regulatory compliance challenge – Software Driven World
Software Driven World
janbosch.com
June 8, 2025 at 11:02 AM
The fourth main area of challenges for companies seeking to become AI-first is regulatory compliance. There are five main concerns: difficulty of interpretation, risk avoidance, need for human oversight, non-deterministic behavior and lack of automation.
The third challenge to becoming an AI-driven organization is organizational and cultural. Companies that don’t fundamentally reinvent themselves are simply going to be outcompeted by the new entrants and incumbents that do. You simply have no choice.
The AI-driven company: organizational challenge – Software Driven World
Software Driven World
janbosch.com
June 1, 2025 at 7:01 AM
The third challenge to becoming an AI-driven organization is organizational and cultural. Companies that don’t fundamentally reinvent themselves are simply going to be outcompeted by the new entrants and incumbents that do. You simply have no choice.
Adopting AI models and AI agents requires companies to mature their data practices, requiring many decisions on what to collect, at what frequency, where to store it, how to process it and how to make sure it can be used both for training and inference.
The AI-driven company: data challenge – Software Driven World
Software Driven World
janbosch.com
May 25, 2025 at 7:01 AM
Adopting AI models and AI agents requires companies to mature their data practices, requiring many decisions on what to collect, at what frequency, where to store it, how to process it and how to make sure it can be used both for training and inference.
Many companies struggle with identifying and realizing AI use cases. This is caused by a variety of factors such as technology understanding. Companies need to clearly assign ownership for AI initiatives and provide sufficient mandate to the AI team.
The AI-driven company: use cases challenge – Software Driven World
Software Driven World
janbosch.com
May 18, 2025 at 7:01 AM
Many companies struggle with identifying and realizing AI use cases. This is caused by a variety of factors such as technology understanding. Companies need to clearly assign ownership for AI initiatives and provide sufficient mandate to the AI team.
For all the promise of agentic AI, we see that the adoption beyond the individual in most companies is still quite limited. Beyond the generally low innovation absorptive capacity of companies and industries, there are several challenges to be considered.
The AI-driven company: challenges – Software Driven World
Software Driven World
janbosch.com
May 11, 2025 at 7:01 AM
For all the promise of agentic AI, we see that the adoption beyond the individual in most companies is still quite limited. Beyond the generally low innovation absorptive capacity of companies and industries, there are several challenges to be considered.
For all the promise of AI and specifically agentic AI, companies and individuals experience fear, uncertainty and doubt, causing slow adoption of AI. In this series, we discuss the challenges and the evolution of companies, R&D processes and products.
The AI-driven company: introduction – Software Driven World
Software Driven World
janbosch.com
May 4, 2025 at 7:01 AM
For all the promise of AI and specifically agentic AI, companies and individuals experience fear, uncertainty and doubt, causing slow adoption of AI. In this series, we discuss the challenges and the evolution of companies, R&D processes and products.
In a world in rapid change, we need to be careful not to get stuck with a set of outdated concepts. In this series, I hope I’ve managed to have you rethink some of the concepts you use in your day-to-day life and work. We need a new paradigm!
10 outdated distinctions: conclusion – Software Driven World
Software Driven World
janbosch.com
April 27, 2025 at 7:01 AM
In a world in rapid change, we need to be careful not to get stuck with a set of outdated concepts. In this series, I hope I’ve managed to have you rethink some of the concepts you use in your day-to-day life and work. We need a new paradigm!
Sales and R&D traditionally have an antagonistic relationship. When digitalizing the offering to the customer base, this needs to change as the business model and the product need to be deeply integrated to ensure revenue and growth opportunities.
Outdated distinction: business model vs product – Software Driven World
Software Driven World
janbosch.com
April 20, 2025 at 7:01 AM
Sales and R&D traditionally have an antagonistic relationship. When digitalizing the offering to the customer base, this needs to change as the business model and the product need to be deeply integrated to ensure revenue and growth opportunities.
DevOps requires a a superset platform, removing products from an R&D perspective. Each product is a configuration of the platform. Consequently, the distinction between platform and product is disappearing and is rapidly becoming outdated.
Outdated distinction: platform vs product – Software Driven World
Software Driven World
janbosch.com
April 13, 2025 at 7:01 AM
DevOps requires a a superset platform, removing products from an R&D perspective. Each product is a configuration of the platform. Consequently, the distinction between platform and product is disappearing and is rapidly becoming outdated.