What Is the 70-20-10 Rule for AI Investment? A Budget Framework for Mid-Sized Companies
The 70-20-10 rule for AI investment allocates 70% of AI budget to people and training, 20% to process and workflow redesign, and 10% to technology and tools.
The 70-20-10 rule for AI investment allocates 70% of AI budget to people and training, 20% to process and workflow redesign, and 10% to technology and tools.
Hi friends, This week, as usual, AI has seen more advances. We are moving past the “cool demo” phase and into the “this can actually reduce workload, speed up decisions, and create new revenue paths” phase. I also pulled in two updates you should not ignore: U.S. AI regulation signals and a key court thread…
Shadow AI is the unauthorized use of artificial intelligence tools by employees without company approval, oversight, or security review.
Agentic AI refers to artificial intelligence systems that can pursue goals autonomously, making decisions and taking actions without human approval for each step.
Getting AI unstuck requires diagnosing why your initiative stalled, then applying targeted interventions that match your specific situation.
Tailored AI strategy is a customized approach to artificial intelligence adoption that aligns with an organization’s specific operational needs, existing technology stack, and business objectives rather than forcing generic frameworks onto unique situations.
AI transformation is the strategic integration of artificial intelligence across business operations to create systems that learn, adapt, and make decisions autonomously, while automation is the use of technology to execute predefined tasks without human intervention using fixed rules and workflows.
Mid-sized company AI transformation is the process of adopting artificial intelligence across organizations with $2M–$200M in revenue and 10–250 employees, requiring approaches that differ significantly from both startup experimentation and enterprise-scale programs.
Looking to build a chatbot that truly understands your business? Whether you are considering Pinecone, Weaviate, Qdrant, or a fully managed solution, choosing the right platform to train your chatbot on your own data is critical. On this page, we break down the differences so you can make the best choice for your team, your…
If you feel like there is a new AI tool launching every hour, you are not alone. The truth is, most teams spend more time trying to “keep up” than actually getting value from AI tools. It is easy to open a dozen tabs, sign up for trial after trial, and still feel stuck. At…
Stop the endless cycle of experimentation and start building AI solutions that deliver measurable value. Schedule a consultation and map your next steps.

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