At Strategy of Things, we are committed to becoming an AI-native company. That means applying AI across our own operations, services, and workflows. Not as an experiment, but as a strategic investment in how we run and grow our business.

We call this initiative SoT AI.

It’s our ongoing effort to use AI inside our company to improve the way we think, work, operate and deliver services. As we build and operationalize these capabilities, we learn what works, what doesn’t, and what it takes to use AI reliably. We'll bring these learnings directly into our CAIO-as-a-Service offerings.

AI has disrupted our business. In order to remain relevant to our clients and sustain ourselves as a business, we must integrate AI into all aspects of our operations.

As an AI-native business, we will:

• Collaborate with AI to be more productive, innovative and responsive with the people that we have
• Keep up with and make sense of the vast amounts of rapidly changing developments in AI to serve our clients better
• Make sense of extremely large volumes of data and information to  plan more effectively and make better decisions
• Deliver our services faster, more efficiently and effectively, and in new ways to our clients
• Consistently operate at very high levels of quality and performance

SoT AI is a strategic and deliberate transformation of our business that will ultimately allow us to serve our clients better and more effectively.

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SoT AI will initially focus on four strategic but practical capabilities that directly improve our business:

• SoT Company GPT. A secure internal GPT trained on our research, frameworks, tools, methodologies, and project knowledge. It supports advisory work, analysis, planning, and delivery across all client engagements.
• Agent-based “digital workers”. We are developing and testing agentic AI to automate research, content assembly, workflows, and operational tasks — giving us hands-on experience with the technologies our clients are exploring.
• AI-integrated workflows. We are redesigning core processes to embed AI directly into how we run projects, communicate, plan, and operate our business.
• Continuous field insights. We track weekly practitioner learnings, industry changes, emerging tools, and new AI patterns — feeding real-time intelligence back into our work.

We are deliberate and prioritize capabilities that create meaningful, long-term value, not experimentation for its own sake.

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• Real experience, not guesswork. We developed that insights come from real adoption, not hype. We recommend only what we’ve tested internally and know works in practice.
• Faster learning and better decisions. Our clients get the benefit of our continuous learning loop. By confronting AI adoption challenges ourselves, we help our clients avoid risks, dead-ends, and wasted investment.
• Improved frameworks and methods. The technologies, methods, and patterns we develop internally eventually flow to our clients, similar to how Formula One innovations eventually reach everyday cars. Everything we learn internally becomes part of the models, assessments, and processes we use in our CAIO-as-a-Service offerings.
• Reduced client risk. When we encounter accuracy issues, workflow conflicts, or reliability challenges internally, we develop solutions before clients face the same obstacles. If we recommend it to clients, we’ve tested it internally first.
• Doing, not advising. We aren’t advising from the sidelines. We’re building AI into our own business just like our clients are. That alignment makes us a better guide.

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AI changes fast. The best partners are the ones applying AI in their own work, not just advising from the outside.

SoT AI ensures that our guidance comes from actual implementation, real experience, and continuous learning. It makes our work more relevant, more practical, and more valuable to the mid-market companies we serve.

Insights from SoT AI are shared through:

• SoT Insights reports
• Blogs and thought leadership
• Refreshed frameworks and tools
• Improved service delivery and methodologies

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