How to adopt AI to drive internal efficiency and revenue growth
Transform your organization by utilizing that the leading-edge AI tools.
About Us
Tip of the Iceberg
Let's face it, when asked about AI most CEO's think ChatGPT, and many use it daily. However this really is just the tip of the iceberg. For example, ChatGPT is an advanced language model (LLM) that uses artificial intelligence to understand and generate human-like text, but it's far from unique. (There are at least ten other competing LLM's available right now!) Even those who do use an LLM are typically only utilizing a very small percentage of its functionality. To harness their true potential requires trained Prompting Engineers who know how to customize these tools to produce specific business results.
In reality, there are thousands of other AI tools that have been designed to streamline specific task and workflows, especially within sales and marketing. With new AI solutions constantly being introduced, it can be difficult to determine which tools are the most relevant and valuable for your business. Furthermore, investing in the wrong tools that might require integration with existing systems, training employees, and ensuring proper adoption can be resource-intensive and produce missed opportunities. Therefore it is important for CEO's to understand really what AI is capable of and they're companies could benefit.
Gap in CEO Knowledge
Mark Cuban the billionaire businessman, was asked about AI and replied "Artificial Intelligence will dominate the future workplace. To be successful, you're going to have to understand it. There’s two types of companies right now. Those who are great at adopting AI and everybody else, and they better wake up otherwise you're going to be a dinosaur within three years". - 2022 - Colin Cowherd Podcast
When applying the four stages of competencies (developed by Noel Burch in 1970), the vast majority of CEO's currently fall into two categories. 1) Conscious Incompetence - They are aware that they need to learn more about AI, or 2) Unconscious Incompetence - They are "unaware" that they need to learn more about AI. Obviously those CEO's who fall into the second category will soon start to wonder how and why their competitors are constantly outperforming them.
AI in Sales & Marketing ROI
According to McKinsey, integrating AI into sales and marketing is revolutionizing how businesses drive revenue and engagement, with companies seeing a substantial ROI—(McKinsey reports a 10% increase in revenue from AI adoption in sales alone). AI’s ability to personalize customer interactions at scale is a key driver. Starbucks saw a 20% increase in customer spend using AI to personalize its loyalty program.
It can also automate and optimizes tasks, slashing customer acquisition costs by up to 20%, as noted by Gartner. Further cost reductions can be found by using AI-powered chatbots which frequently outperform humans and deliver 30% higher conversion rates. Bottom line, current AI marketing tools have ability to significantly lower your marketing spend by reducing content creation costs, delivery time and even possibly employee overhead. While AI won't replace your entire sales and marketing teams, it will free them up to focus on strategy.
iceberg ai consulting
The AI Landscape
AI Implementation Strategy
AI Implementation Strategy
There are already over 5000 AI tools publicly available and that number is increasing daily. Keeping up with the newly launched features of AI tools you might already know can be a challenge, however having the resources to proactively discover AI tools that would improve your business really is a full time job. We do this research and evaluation for you, so that your team can focus on what they do best. Leave the rest to us.
AI Implementation Strategy
AI Implementation Strategy
AI Implementation Strategy
We start by defining clear objectives and goals and identifying relevant use cases where AI could help. Ensuring your data is clean, accurate, and accessible is important as any AI tools will require integration into your existing systems and processes. We find that starting small, then scale is the best approach and provides tangible case studies before tools are widely adopted. Measure performance using key metrics such as conversion rates and ROI, then refine your approach based on results.
