Azure AI Fit Use Case Readiness Assessment

Thinking of unleashing AI on a business use case? Let us help get it right for you leveraging the power of Microsoft's Azure AI. Our AI Fit service will identify the best approach for uplifting your use case using Microsoft Azure AI Services to drive better returns and reduce risk.

Problem: As businesses increasingly recognise the transformative potential of Artificial Intelligence (AI), many will face critical challenges in harnessing the power of AI for their own use cases. Unidentified issues such as data suitability can lead many to experience failure in their AI projects. For this reason, assessing the viability of these solutions early must be a priority for all businesses. We provide a targeted assessment that efficiently evaluates a businesses’ unique use-case and AI components to ensure the identified solutions are fit-for-purpose and within your organisation’s risk and cost tolerances.

Benefits: • A reduced risk of failure or improve ability to pivot to a more suitable solution earlier. • A lowered cost associated with model build. • Improved speed to market. • Proactive management of common AI/ML issues including over fitting, bias, ethical missteps and model float.

Assessment Detail: Our AI Readiness Use Case Assessment is a 4-5 day engagement covering the following areas -

1. Use Case Suitability Assessment: Our team will analyse the suitability of Al for a primary and alternate use case, evaluate solution challenges and present alternatives. Specific Al models applicable to each use case will be identified, as well as consideration of return on investment, customer perspectives, and board risk appetite.
2. High Level Data Suitability Evaluation: An examination focused on determining data suitability for different Al models. The evaluation of data readiness including: labeling, timeliness, accuracy, availability, and completeness, with consideration to fair and ethical use. We will assess how to best utilise your Microsoft environment to be 'data ready' for AI.
3. Risk Management Considerations: A high level assessment of the risks and impacts of the intended use case. This includes external factors like regulatory compliance and customer sensitivities and internal factors including required system and data changes.
4. Technology Readiness: A review of existing data stres and sources, providing actionable recommendations on how your Azure environment can ingest, store and structure your data to support your AI use case.
5. AI Adoption Roadmap: A high level assessment of People, Process and Technology requirements to support the targeted and considered Al use cases with a focus on prioritisation for highest potential positive impact to the business.

Result: Through Al Fit, you'll gain clarity on the optimal solution for your unique challenge. We'll help unlock the power of Microsoft Azure AI and supporting data services ensuring it's efficient, effective, and manageable. This results in tangible benefits for your organisation: greater ROl, reduced risks (repetitional, cost blowout, failure), and increased adoption. With our partnership, you'll make informed decisions early, confidently leveraging Al's transformative potential to stay ahead in your market.