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Strategy
Vision
Mission
Objectives
Initiatives
Business Model
Products
/Services
/Services
Prices
/Fees
/Fees
Promotion
/Awareness
/Awareness
Place
Operational Model
People
Structure
Technology
Governance
Consultation
Your Roadmap to Intelligent Transformation
We assist organizations in strategically piloting and then scaling Al technologies to enhance their operational efficiencies and innovate their business models.
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01/ What do we do?
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Executive Education for Leadership & Actional Personnel
We provide specialized training to equip leaders with the knowledge to leverage Al effectively across business operations.
Consultation for Strategic AI Scale-Up
We assist organizations in strategically scaling Al technologies to enhance their operational efficiencies and innovate their business models
Development of Specialized AI Solutions
Our team develops customized Al solutions tailored to the unique needs and challenges of each organization
Sourcing Cutting-Edge AI Products
We leverage our extensive network in Silicon Valley and other tech hubs to bring the latest Al innovations to the Saudi market, ensuring our clients have access to the best tools available
02/ We Aim
Consultation
We assist organizations in strategically piloting and then scaling Al technologies to enhance their operational efficiencies and innovate their business models
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Align Al initiatives with core business objectives to maximize impact.
Enhance workflows and processes through tailored Al integration.
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Propel the development of innovative business models using Al.
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Develop and implement Al strategies uniquely suited to each organization's needs.
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Ensure that Al scale-up contributes to long-term business success and competitiveness.
03/ Our Approach & Methodology
Our approach and methodology
We understand how organizations work in Saudi Arabia. Accordingly, our approach and methodology is designed to ensure there is a strategic fit between our services and your operating model.
As is assessment
Current State Analysis:
Reviewing existing business processes, technology stacks, and data ecosystems to identify strengths, weaknesses, and gaps.
Stakeholder Interviews:
Conducting interviews with key stakeholders to understand their vision, expectations, and concerns regarding AI.
Technology Audit:
Evaluating existing IT infrastructure and systems to assess compatibility with AI technologies.
Data Readiness Assessment:
Examining the quality, quantity, and accessibility of data available for AI initiatives.
Deliverables
To be definition
Opportunity Mapping:
Identifying potential areas where AI can enhance efficiency, reduce costs, increase revenue, or improve customer experiences.
Feasibility Study:
Analysing the technical and economic feasibility of various AI initiatives.
Risk Assessment:
Evaluating potential risks, including ethical considerations, data privacy, and security concerns.
ROI Estimation:
Estimating the return on investment for different AI scenarios to prioritize initiatives.
Deliverables
Implementation
Solution Design:
Crafting custom AI solutions, selecting appropriate algorithms, and designing system architectures.
Development and Testing:
Building and testing AI models, ensuring they meet specified requirements and performance criteria.
Integration:
Seamlessly integrating AI solutions with existing business processes and IT systems.
Change Management and Training:
Managing organizational change to ensure smooth adoption, including training employees on new AI tools and practices.
Deliverables
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AI Activated
04/ The introduction of Agents
GPTs are GPTs: Labor market impact potential of LLMs
"We estimate that roughly 1.8% of jobs could have over half their tasks affected by LLMs with simple interfaces and general training.
When accounting for current and likely future software developments that complement LLM capabilities, this share jumps to just over 46% of jobs."
When accounting for current and likely future software developments that complement LLM capabilities, this share jumps to just over 46% of jobs."
05/ GenAI Enterprise transform©
Organization Contextual Factors
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