To ensure that any investment made into AI is worthwhile, it’s crucial that careful thought and planning is conducted into how AI should be adopted. This part of the assessment identifies AI opportunities for your business. Our team use Lean Product Management techniques to ensure alignment with your overall strategy and goals.

Identified opportunities are categorised and prioritised according to their complexity and value they deliver. A subset of these, chosen by you are then carried forward for further assessment.

Our team will assess your organisation’s current data strategy to determine its readiness to support each of the prioritised AI opportunities. We assess whether the required data is accessible and reliable, identifying any gaps in data collection or quality.

Our experts analyse your data processes to uncover inefficiencies and opportunities for improvement while ensuring your current data aligns with your strategic goals. Where gaps exist, we provide clear recommendations to address them.

Our team will assess your organisation’s readiness to execute AI and data-driven initiatives by evaluating the knowledge, skills, and resources available. We will analyse the technical knowledge and experience of your teams, focusing on their ability to manage and implement data and AI solutions.

We will also examine the specific experience with data and AI projects to identify strengths and gaps. Finally we will conduct a review of existing roadmaps and team capacity to ensure alignment with your strategic goals, identifying areas where additional expertise or resources may be required.

Our team will evaluate the robustness of your organisation’s current technology platform and readiness to support AI and data initiatives.

We assess your architecture to ensure it is optimised for modern data and AI solutions, review observability practices to confirm that systems are monitored effectively, and evaluate scalability to determine how well your infrastructure can handle growth and increasing demands that AI solutions bring.

Governance plays a critical part when running AI workloads. Effective governance ensures that AI projects adhere to necessary regulations, avoiding legal penalties and upholding customer trust.

Our team will assess your current governance structures and highlight areas for improvement to ensure that AI adoption is carried out in manner that is responsible and complies with necessarily regulatory and compliance requirements.

Agile software delivery practices (such as XP and Scrum) promote iterative development, allowing AI projects to be broken down into manageable parts and delivered incrementally. This helps in quickly adapting to changes, incorporating feedback, and continuously improving AI models.

For this part of the assessment, our team will analyse your current software delivery processes through techniques such as Value Stream Mapping.