AI STRATEGY

AI Living Lab

We help you Build a an AI strategy using AI and help you move beyond uncoordinated experimentation with Generative AI to make effective investment decisions and achieve substantial returns.

Our Goal

Build an adaptable digitally dexterous workforce ; Prioritise high impact responsible AI projects Linking back to organization’s strategic goals

“HBR observes that most AI projects fail, with failure rates that may reach 80%. One of the most success ratios is: alignment with the company’s strategic goals.  O’Reilly’s annual AI survey has repeatedly shown that identifying the right AI use cases is a persistent barrier.”

Harvard Business Review & O’Reilly’
AI Living Lab

Challenges We Tackle

  • The majority of AI projects generally take time to realize an ROI, and this makes it difficult to predict the costs and benefits. 
  • Fostering your organization as a living lab for experimentation of new developments. Lack of a centralized and easily accessible information platform to understand best practices and relevant use cases
  • Identify KPI for AI investment evaluation in Portugal.. Inadequate understanding of costs vs. benefits and ability to conduct AI business case analysis
  • Integrate a strategy of closer cooperation between European AI excellence centres based on common knowledge and common challenges for the deployment of AI-based solutions in the areas where Europe faces major challenges

Our Five Step Process

Achieve Returns for Your AI/GenAI Investment

Elderly Man Thinking while Looking at a Chessboard

The Automated Idea Generation for AI Projects (AIGAP) feature leverages cutting-edge generative AI technologies to automate the discovery and ranking of AI initiatives, brainstorming process, transforming vast datasets into actionable AI project ideas. By analyzing current tech trends, organizational goals, historical project outcomes, and emerging market needs, AIGAP identifies and proposes novel AI initiatives that not only address current challenges but also anticipate future opportunities.

Call To Action
A typewriter with the word ethics on it

Evaluate and forecast the cultural implications and potential biases of AI projects before their deployment. By leveraging an extensive database of ethnographic, cultural, and ethno-psychological research, the CIBS integrates advanced algorithms to analyze the nuances of different user groups’ cultural backgrounds and psychological behaviors. This tool aims to simulate the interactions between AI applications and diverse cultural contexts, providing invaluable insights into potential acceptance challenges, corporate social responsibility (CSR) standards, ethical considerations, and unforeseen effects.

Call To Action

It evaluates and ranks AI initiatives post-identification, emphasizing their alignment with the organization’s strategic goals through a detailed analysis of cost, complexity, responsible AI regulations, cultural acceptance, and potential value. It is designed to ensure optimal alignment of AI projects with strategic objectives, financial efficiency, OPEX operational feasibility, and societal impact, guiding organizations in making informed, strategic decisions about their AI investments and maximized ROI.

Call To Action

Harness the power of our proprietary algorithm to identify synergies across AI and Digital projects. This feature is integral to optimizing cost and resource allocation, fostering collaborative innovation, and ensuring that AI initiatives are not only strategically aligned but also operationally interconnected. This feature can help optimize the use of human resources, computing power, and financial investments.

Call To Action

ACAI leverages the design anthropology research methodology to enable adaptive, participatory development of AI and GenAI solutions across various domains. It aims to co-create prototype scenarios with clients, integrating diverse stakeholder insights to ensure solutions are impactful, ethically grounded, and culturally sensitive.

Call To Action

AI Readiness Strategy Workshop

Our comprehensive workshop guides you through crafting a data strategy checklist with AI and GenAI readiness, fully aligned with your overarching business objectives and future-proofed against market changes. It includes a specialized focus on ethical AI frameworks and cultural adaptability, ensuring responsible deployment.

Competitive Scenario Exploration

Building on AI/GenAI Use Case selection, this enhanced workshop module introduces action planning within a competitive landscape. Utilizing war-gaming and scenario planning, we explore how AI solutions stand against potential market and environmental uncertainties, sharpening strategic resilience and insight.

Blue and Yellow Board Game

AI Prototyping and Resilience Testing

Transition from ideation to tangible solutions with our rapid prototyping session, which not only showcases Gen AI algorithms tailored to your business challenges but also tests these prototypes against a range of strategic scenarios. This session ensures that your AI initiatives are adaptable, scalable, and ready for any future challenges.