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Business Use Cases

A secure approach to AI adoption to innovate confidently. "Balancing Risks and Rewards"

A secure approach to AI adoption to innovate confidently. "Balancing Risks and Rewards"

A secure approach to AI adoption to innovate confidently. "Balancing Risks and Rewards"

A secure approach to AI adoption to innovate confidently. "Balancing Risks and Rewards"

A secure approach to AI adoption to innovate confidently. "Balancing Risks and Rewards"

A secure approach to AI adoption to innovate confidently. "Balancing Risks and Rewards"

AI deployment

Personal agents

Cross-organizational agents

Business process agents

Business process agents

Cross-organizational agents

Business process agents

Organizational agents

Cross-organizational agents

Cross-organizational agents

Cross-organizational agents

Cross-organizational agents

Cross-organizational agents

Enrich employee experiences

Reinvent customer engagement

Reinvent customer engagement

Reinvent customer engagement

Reinvent customer engagement

Reinvent customer engagement

Reshape business processes

Reinvent customer engagement

Bend the curve on innovation

Bend the curve on innovation

Reinvent customer engagement

Bend the curve on innovation

Function-specific tasks

Service Agent

Finanacial Analyst

Service Agent

Seller

Finanacial Analyst

Service Agent

Finanacial Analyst

Finanacial Analyst

Finanacial Analyst

Marketer

Finanacial Analyst

Finanacial Analyst

HR Professional

Security Analyst

Security Analyst

Security Analyst

Security Analyst

Security Analyst

Developer

Security Analyst

Developer

Top AI Opportunities/Use case

Exploring

  • AI objectives support business objectives 
  • AI used for real-time decision-making

Planning

  • Prioritized, approved, and socialized use cases for AI 
  • AI used for real-time decision-making

Implementing

  • Prioritized, approved, and socialized use cases for AI 
  • AI objectives support business objectives
  • AI used for real-time decision-making
  • A clear investment plan or AI implementation across the business

Scaling

  • Prioritized, approved, and socialized use cases for AI 
  • A clear investment plan for AI implementation across the business

Realizing

  • Prioritized, approved, and socialized use cases for AI 
  • A clear investment plan for AI implementation across the business


Exploring

  • Access to complete and relevant data for AI modeling purposes
  • Using AI for improving security
  • Dedicated cloud infrastructure

Planning

  • Access to complete and relevant data for AI modeling purposes
  • Dedicated cloud infrastructure

Implementing

  • Access to complete and relevant data for AI modeling purposes
  • Dedicated cloud infrastructure 
  • Data accurately represents relevant customers and business objectives

Scaling

  • Data accurately represents relevant customers and business objectives
  • Access to complete and relevant data for AI modeling purposes

Realizing

  • Data accurately represents relevant customers and business objectives
  • Access to complete and relevant data for AI modeling purposes
  • Having the right data in the right format


Exploring

  • Processes to create a standard repeatable process for development and deployment of AI
  • Diversity of roles and experiences of people involved in AI projects
  • Identifying AI models best suited for an organization’s AI use cases

Planning

  • Identifying AI models best suited for an organization’s AI use cases 
  • Processes and workflows to create a standard repeatable process for development and deployment of AI

Implementing

  • Identifying AI models best suited for an organization’s AI use cases 
  • Diversity of roles and experiences of people involved in AI projects

Scaling

  • Processes and workflows to create a repeatable process for development and deployment of AI solutions
  • Identifying AI models best suited for an organization’s AI use cases

Realizing

  • Processes and workflows to create a repeatable process for development and deployment of AI solutions
  • Identifying AI models best suited for an organization’s AI use cases


Exploring, Planning, Implementing, Scaling

  • Leadership has clearly communicated vision and importance of AI
  • Availability of experts to contribute to AI projects

Realizing

  • Leadership has clearly communicated vision and importance of AI
  • Availability of experts to contribute to AI projects
  • Employee understanding of how AI supports strategy


Exploring

  • Controls for ensuring transparency, explainability, and interpretability of results
  • Security and compliance for third party sharing of AI-generated data
  • Assessing the impact of AI on people, organizations, and society 
  • AI system accountability for bias, impacts, safety, and security

Planning

  • Controls for ensuring transparency, explainability, and interpretability of results
  • Security and compliance for third party sharing of AI-generated data
  • AI system accountability for bias, impacts, safety, and security

Implementing

  • Controls for ensuring transparency, explainability, and interpretability of results
  • AI proactively prevents cyberattacks on infrastructure and data
  • AI system accountability for bias, impacts, safety, and security

Scaling

  • Systems to inform AI use cases, performance metrics, and limitations
  • AI proactively prevents cyberattacks on infrastructure and data
  • System to address copyright and IP ownership
  • Controls for storage, processing, and sharing of sensitive information and personally identifiable information (PII)
  • Controls for ensuring transparency, explainability, and interpretability of results

Realizing

  • Systems to inform AI use cases, performance metrics, and limitations
  • Controls for storage, processing, and sharing of sensitive information and personally identifiable information (PII)


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Ways to generate ROI with AI

Process Automation & Efficiency

Process Automation & Efficiency

Process Automation & Efficiency

  • Implement AI-powered automation solutions to streamline repetitive & time consuming tasks.
  • Reduce manual efforts and human errors.
  • Automating decisions-making processes to accelerate response times and operational workflows.

Predictive Analytics & Insights

Process Automation & Efficiency

Process Automation & Efficiency

  • Leveraging AI algorithms to analyze large volumes of data & extract insights.
  • Make data-driven decisions based on predictive models to optimize operations, marketing campaigns, pricing strategies, and resource allocation.
  • Anticipating customer behavior, market trends, and demand pattern to make proactive business decisions. 

Enhanced Customer Experience

Process Automation & Efficiency

Fraud Detection and Risk Management:

  • Personalizing customer experiences by leveraging AI-powered recommendation engines and chatbots.
  •  Providing tailored product suggestions, personalized marketing messages, and responsive customer support.
  •  Improving customer satisfaction, loyalty, and retention by delivering customized and relevant experiences.

Fraud Detection and Risk Management:

Cost Reduction and Resource Optimization:

Fraud Detection and Risk Management:

  •  Using AI algorithms to detect anomalies and patterns indicative of fraudulent activities.
  • Enhancing cybersecurity measures by leveraging AI for threat detection, intrusion detection, and vulnerability assessments.
  • Mitigating risks and minimizing losses by identifying potential fraud cases early and taking proactive measures.

Improved Sales and Revenue Generation

Cost Reduction and Resource Optimization:

Cost Reduction and Resource Optimization:

  • Utilizing AI-powered sales and marketing automation tools to optimize lead generation, lead scoring, and conversion rates.
  •  Applying AI algorithms to analyze customer behavior and preferences to deliver targeted marketing campaigns.
  •  Optimizing pricing strategies using AI algorithms to maximize profitability and revenue.

Cost Reduction and Resource Optimization:

Cost Reduction and Resource Optimization:

Cost Reduction and Resource Optimization:

  •  Applying AI techniques, such as machine learning and natural language processing, to accelerate product development and innovation.
  •  Leveraging AI for product recommendation systems, sentiment analysis, and market research.
  • Optimizing research and development processes through AI-driven insights and data analysis.

Generating ROI with AI

Generative AI has taken the world and businesses by storm, with large language models (LLMs)- like OpenAI's  ChatGPT , Google's Gemini &Amazon's Bedrock.

Use of AI is helping business growth, improve operational efficiency, and unlock new opportunities for innovation when effectively harnessed.




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