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Business reimagined

A tactical roadmap for successful GenAI adoption.


The need for businesses to embrace artificial intelligence (AI) and, specifically, generative AI (GenAI), has reached an unprecedented level of significance – a fact we cannot ignore.

Unlike previous innovations, where being a fast follower sufficed, the democratization of GenAI has placed powerful tools directly in the hands of individuals and organizations. The sooner individuals and organizations integrate these powerful AI tools, the quicker AI can learn from their specific data sets, enhancing its effectiveness and further solidifying an organization’s competitive advantage. As highlighted by BDO Global's Techtonic States report, a staggering 84% of business leaders recognize that their organizations must significantly accelerate technological innovation, with AI playing a pivotal role. 

The stakes are high, and the numbers echo the urgency – every $1 of additional tech investment is projected to potentially increase revenue by $18. 

Choosing your route

In light of the pressing demands posed by the current economic landscape and the ethical considerations to embrace new technology responsibly, organizations find themselves at a crossroads.

Before diving right into integration, your GenAI adoption hinges upon selecting the most suitable route aligned with your business objectives.

Two primary routes stand out, each offering distinct advantages and pathways toward innovation and organizational growth:

number 1

Route one: Experimental GenAI adoption

Just as the name suggests, this approach involves systematically testing GenAI to evaluate its effectiveness, safety, and applicability across different domains. 

These trials serve as crucial checkpoints, guiding the adoption of GenAI for broader adoption. It's a methodical process aimed at uncovering insights and optimizing the technology's capabilities for practical use. 

If this is the route for you, consider these three steps:

number 1

Route two: GenAI Roadmap

If your organization is looking for a more strategic framework that supports the adoption of GenAI, from the start, then this is your route. 

The roadmap also affords unique flexibility in your organization’s chosen approach, be it top-down or bottom-up.

Opting for the top-down approach can be beneficial when implementing GenAI for specific use cases, producing substantial outcomes tailored to key decision-makers or executive leadership teams within your organization. 

On the other hand, you can embrace the bottom-up approach, fostering broad adoption across key teams and employees. This approach brings about a cultural shift, as your employees seamlessly incorporate GenAI tools into their daily workflow while the organization benefits from incremental and quicker time-to-value gains. It also ensures that organizational resources are aligned with strategic investment decisions, offering clear guidance upfront by establishing ROI hypotheses before investing in technology and people.

Start your journey by following the 5-step roadmap:

number 1


Understanding the landscape

Embarking on this transformative journey begins with comprehensive education on GenAI. This entails unravelling the intricacies, capabilities, and business implications. This can be in the form of curated educational content and direct connections within the AI community to foster deep immersion in the subject. 

A solid understanding of GenAI serves as the bedrock upon which the subsequent steps are constructed. 


Learn about the proliferation of GenAI and its impact on industries, specifically the financial services space, in our article about the evolution of GenAI.

Read more
AI chip in center and moving slate waves representing machine learning and data analytics

number 2

Identify use cases: 

Tailored to your business needs

Discovering the right applications within your organization is a pivotal phase in the GenAI roadmap. To effectively identify use cases that align with your business needs, a comprehensive approach is essential. This involves engaging in executive interviews, conducting discovery workshops, and implementing a thorough validation and prioritization process. 

Consider the following sub-steps and how they can support your journey:

Initiate conversations to gain insights into your organization's strategic objectives. Understanding the perspectives of these key stakeholders is crucial in aligning GenAI initiatives with overarching business goals. These interviews provide a foundation for uncovering potential areas where GenAI can make a meaningful impact on your operations.

Facilitate collaborative sessions, such as discovery workshops, to tap into the collective knowledge of key teams in your organization. These sessions are designed to unearth potential applications by fostering open communication and idea sharing. Through collaborative efforts, you can identify areas where GenAI can be leveraged to enhance efficiency, solve challenges, or create new opportunities.

After generating a pool of potential use cases, it's imperative to rigorously evaluate and prioritize them. This involves a structured process of validation and prioritization through ideation sessions. During these sessions, carefully assess the feasibility, impact, and alignment of each use case with your organizational goals. Prioritizing use cases ensures that resources are allocated strategically and that the selected applications align with your immediate and long-term objectives.
AI use case considerations

When exploring use cases, be sure to reflect on the wide range of possible ideas that tie in with your long-term strategic objectives. These include, but are not limited to:

Data management and analytics
Automating data cleansing, integration, and analysis, as well as ensuring high-quality data for decision-making.
Client engagement
Utilizing predictive analytics and natural language processing to personalize client interactions, enhancing satisfaction and loyalty including AI-powered chatbots and virtual assistants.
Knowledge discovery
Uncovering patterns and insights from vast data sets, improving understanding of market dynamics, client behaviours, and operational efficiencies.
Security and compliance
Enhancing cybersecurity by real-time threat detection and automating compliance monitoring to reduce legal risks.
Talent management
Streamlining HR processes, from recruitment to performance management, and personalizing learning for continuous improvement.
Supply chain optimization
Enhancing supply chain visibility, predicting demand, optimizing inventory, and improving logistics planning.
Sustainability impact
Monitoring and reducing environmental footprints and measuring the impact of social initiatives, aligning operations with societal and environmental goals.
Real-time monitoring
Automating real-time business metric monitoring and reporting for more timely insights and faster decision-making.
Personalization and experimentation
Personalizing content and creative elements for marketing projects based on user preferences and behaviours, while also conducting automated experiments to optimize messaging, imagery, and overall performance.


Explore the transformative potential of generative AI in revolutionizing technology companies' innovation and product development strategies.

Read more

number 3

Prepare and build: 

Establishing the foundation

Before diving into implementation, it's crucial to lay a strong foundation by creating a well-thought-out plan. This plan should cover various aspects of responsible AI to guarantee a thorough and ethical approach to address data quality, governance, ethics, privacy, cybersecurity, and other essential considerations. 

By doing so, you set the groundwork for a successful and responsible integration of GenAI into your systems and processes. 


When embracing GenAI, cybersecurity concerns inevitably come to the forefront. Explore the pros and cons of integrating GenAI through the lens of cybersecurity.

Read more
Three employees, a woman standing behind two seated men, looking at a screen in an office setting.

number 4

Enable and adopt: 

Implementation with finesse

As you move into the implementation phase, you must ensure that GenAI is seamlessly integrated into the organizational fabric. Change management best practices play a pivotal role in driving successful adoption and ensuring a smooth transition.


Explore proactive change management strategies that help drive successful employee engagement in GenAI adoption, and learn how to foster change in the organizational workforce.

Read more
A young businessman working on a laptop in an office setting.

number 5

Go and grow: 

Seizing opportunities for success

The final leg of the journey involves seizing opportunities, solving business problems, and driving growth through the strategic deployment of AI. This phase marks the realization of AI's transformative potential, positioning businesses for sustained success in a dynamic and competitive landscape. 

Helping you throughout your journey

Leveraging GenAI's transformative power for your business starts by aligning your AI route with your specific business goals, while also ensuring responsible practices. 

We're here to assist you on your journey by providing tailored solutions. Our team of over 500 skilled professionals, combined with our award-winning AI capabilities and longstanding partnership with Microsoft, is ready to assist you at every stage.

To learn more, explore our full suite of Data & AI services and connect with our leaders

Emmanuel Florakas, Partner, National Leader of Data & AI 

Sam Abdulrrazek, Partner, Digital Advisory

Madison Parslow, Manager, Innovation & Change

Craig Marchand, Vice-President, Exponential Labs

Vincent Mok, Senior Manager, Advisory, Management Consulting

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