Data and AI Readiness Assessment

Opportunity Identification

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.
Data Strategy

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.
Capacity & Experise

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.

Technology

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.
Data Governance

Strong data governance is essential for successful AI adoption. Ensuring data quality, security, and compliance not only reduces regulatory risk but also enhances AI performance and reliability. Our team will assess your data governance frameworks, identifying gaps and improvements to ensure your AI initiatives are built on a foundation of trust, accuracy, and regulatory compliance.
Delivery Maturity

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.

One of Scentmate by dsm-firmenich’s goals is to become the benchmark for innovation and digital culture in the fragrance industry. But in reality it is more than an objective, it is a culture, a way of doing things and understanding the business. Codurance is being key to help us achieve it. That is why for us Codurance is more than a companion, they are fellow travellers.

Alfonso Álvarez Prieto

General Manager & Founder of Scentmate by dsm-Firmenich, the world's first AI enabled fragrance platform

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EBOOK

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CASE STUDY

Scaling the world’s first AI-enabled scent curation platform

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VIDEO

GenAI: A Technical Hurdle or a Technical Accelerator?

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Codurance’s AI Demo Hub – Virtual Try-On

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Callenge 1

Data Collection: Through a series of metrics analyses and interviews, we gather extensive data on your technology landscape.

Callenge 2

Data Collection: Through a series of metrics analyses and interviews, we gather extensive data on your technology landscape.

Callenge 3

Data Collection: Through a series of metrics analyses and interviews, we gather extensive data on your technology landscape.

Callenge 4

Data Collection: Through a series of metrics analyses and interviews, we gather extensive data on your technology landscape.

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Step 1

Data Collection

Data Collection: Through a series of metrics analyses and interviews, we gather extensive data on your technology landscape.
Step 2

Analysis Phase:

Our experts interpret the data, considering the nuances of your organization and the tech industry.
Step 3

Presentation of Insights:

We provide a detailed report with our findings, insights, and actionable recommendations.
Step 4

Collaborative Action:

Work with our team to implement the recommendations and track progress.

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Roche-case study card img

Roche

Based on our experience in highly regulated environments, the Swiss multinational healthcare company Roche wanted to work with our craftspeople to build the next generation of their digital platforms and to improve their ability to continuously deliver quality systems.

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Scentmate by dms-firmenich – Card Image

dsm-firmenich

dsm-firmenich relied on Codurance’s expertise to scale the world’s first AI-based scent curation platform: Scentmate by dsm-firmenich. Optimising its search engine, training its team and achieving 99.95% stability of its system allowing them to boost its sales and customer loyalty.

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My Pulse – Card Image

MyPulse

We accelerated the launch of UK based digital healthcare company, MyPulse, in different markets and future-proofed their digital platform through the use of XP best practices, cloud technologies and our functional languages experience.

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