How to measure maturity in Artificial Intelligence in business

Currently, Much is said about Artificial Intelligence (AI) and the benefits it has brought to various sectors and companies. Still,the operational maturity in AI of a company is important for various reasons. Firstly, permits an accurate assessment of the starting point, helping to identify where the company stands regarding best practices and state of the art.  

Operational maturity in AI refers to the level of development and integration of artificial intelligence technologies within an organization. This concept encompasses a company's ability to adopt and effectively utilize artificial intelligence to improve processes, making data-driven decisions and innovating in your products and services. 

Companies with high maturity not only implement advanced technologies, but also cultivate an organizational culture that values data and insights, has a robust technological infrastructure, and has skilled teams to explore the full potential of artificial intelligence. Achieving operational maturity involves a continuous process of technological evolution, strategic adaptation and development of internal competencies

UmliftingMcKinsey data shows that companies with high AI maturity are 3 to 5 times more likely to be industry leaders. Furthermore, Deloitte data suggest that companies at more advanced stages of AI maturity can increase productivity by up to 40%

This assessment also facilitates the efficient allocation of resources, allowing the company to focus its efforts on the areas most in need of development. Upon identifying gaps and opportunities, the organization can prioritize initiatives that will bring greater impact and value

UmstudyForrester reveals that 56% of companies consider maturity measurement essential for optimizing investments and improving operational efficiency. With an assessment of operational maturity, is it possible to develop a detailed and structured script for AI adoption, including phases, marcos y métricas de éxito que guiarán la implementación de manera ordenada y estratégica

What are the benefits of measuring AI maturity? 

Furthermore, the measurement facilitates the necessary cultural change in the organization, promoting a culture of innovation and adaptation. Continuously monitoring maturity allows for adjusting strategies as needed, ensuring continuous and sustained improvement in AI adoption. This also helps to mitigate risks, anticipating and avoiding problems that could compromise the success of the projects, declares the Business Director at Keyrus, Paulo Simon. 

Companies with a high level of maturity are better positioned to leverage the competitive advantages offered by technology. Evaluating and improving this operation helps the company stay competitive and fully explore its potential. According to thePwC, the effective adoption of AI can add up to US$ 15,7 trillion to the global economy by 2030. Finally, ensuring that the tool aligns with the company's strategic objectives guarantees that efforts directly contribute to business goals and generate tangible value

For Paulo, measuring operational maturity is essential for effective and strategic technology adoption, ensuring that the company is well prepared to face the challenges and seize the opportunities offered by artificial intelligence

Stages of operational maturity in AI

1. Initial recognition

• Awareness cultureThe company promotes an internal culture of awareness about the concepts and benefits of artificial intelligence and machine-generated artificial intelligence (GenAI)
• Education and trainingInitiatives for education and training are carried out for employees at all levels, a fim de aumentar a compreensão sobre AI/GenAI e seu potencial impacto nos negócios
• Feasibility assessmentThe company conducts preliminary assessments to identify potential areas where implementation can bring significant benefits

2. Sectoral implementation

• Implementation strategy A empresa desenvolve uma estratégia clara para implementar IA/GenAI em áreas específicas, aligned with your business objectives and overall strategy
• Integration with existing processes IA/GenAI é integrada de forma suave e eficiente nos processos existentes da empresa, optimising workflows and improving operational efficiency
• Impact measurementKPIs and metrics are established to measure the impact of the implementation, including increased efficiency, cost reduction and improvement of customer experience

3. Initial exploration

• Controlled experimentationExperiments and pilot projects are conducted to explore applicability and feasibility in real business scenarios
• Evaluation of results: theresults of pilot projects are rigorously evaluated to determine success and effectiveness in achieving the defined business objectives
• Feedback and learningThe company leverages pilot project feedback to learn and adjust its approach as it continues to explore the tool

4. Organizational expansion

• Governance and change managementA empresa implementa uma estrutura de governança robusta e eficaz para supervisionar a expansão de IA/GenAI em toda a organização e gerenciar efetivamente a mudança organizacional associada.
• Investment in infrastructure and talentSignificant investments are made in technological infrastructure and in hiring and developing specialized talent in the field
• Scaling strategyThe strategy is designed to scale effectively across the entire organization, ensuring systems handle increased workload

5. Advanced operations

• Holistic automationis integrated into all aspects of the company's operations, covering everything from internal processes to interactions with clients and partners
• Data-driven decision makingdecisions are informed by data and insights generated by algorithms, resulting in more accurate and effective decisions
• Continuous innovationThe company adopts a continuous innovation approach, constantly exploring new applications and advancements to maintain a competitive edge

6. Liderança em IA/GenAI

• Innovation cultureThe company cultivates a culture of innovation and experimentation, onde o uso de IA/GenAI é incentivado e valorizado em todos os níveis da organização
• Strategic partnershipsEstablish strategic partnerships with market leaders to access specialized knowledge, resources and cutting-edge technologies
• Vision of the futureThe company maintains a future-oriented vision, constantly exploring the boundaries of technology and seeking ways to apply AI to create new business models and transform entire sectors

Measuring operational maturity is essential for companies to position themselves competitively in the current market. Understand the current stage and chart a strategic path to optimize resources and maximize results

By following the six stages of maturity, companies can evolve from initial awareness to robust AI leadership, ensuring a successful adoption and promoting a culture of continuous innovation. This structured approach mitigates risks and allows capitalising on the opportunities offered by artificial intelligence, reverting measurement to an essential strategy for sustainable growth and future success, conclude Simon