Unlock the power of AI with confidence
AltaML’s comprehensive Feasibility Assessment is designed to validate the business value of potential artificial intelligence (AI) use cases, ensuring all necessary conditions are in place for successfully deploying and developing AI-powered solutions within your organization.
Evaluate the viability of AI integration, identify potential challenges upfront, and make informed decisions, reducing the risk of costly and unsuccessful implementations.
Apply valuable insights and learnings from 400+ AltaML use cases seamlessly into your implementation to ensure more informed and effective deployment of AI solutions.
Identify potential challenges, risks, and opportunities of AI use cases upfront, saving time and money while increasing the likelihood of development and deployment success.
70% of Use Cases Operationalized
With over 70% of use cases successfully operationalized following a feasibility assessment, AltaML surpasses the industry standard of 20 to 30%, demonstrating a clear correlation between feasibility assessments and making strategic investments that drive success in AI implementation.
A Proven Process
AltaML’s Feasibility Assessment is a robust two-phase process designed to propel organizational AI initiatives forward. From identifying ideal use cases that align with organizational goals and challenges to validating technical and strategic feasibility, AltaML is dedicated to ensuring the viability and potential for the success of AI use cases before you commit to a more extensive engagement.
Through collaborative ideation sessions, AltaML harnesses the collective intelligence of key stakeholders to identify and qualify innovative ideas that align with organizational objectives. Our team defines opportunities to tackle challenges and carefully selects AI use cases with the most potential. This process involves identifying high-level technical requirements and ensuring access to necessary technical services. Additionally, relevant data sources are identified, and a data acquisition plan is established to lay a strong foundation for future development.
During the feasibility stage, AltaML’s team of cross-functional experts rigorously validate the technical and strategic feasibility of identified use cases, ensuring the right conditions are in place to proceed and identify potential risks. The team is focused on understanding the end user journey and validating AI hypotheses from the beginning. Once aligned, a technical experimentation plan is developed outlining pipelines, targets, analytics techniques, and approaches.
Once the assessment is completed, AltaML delivers a comprehensive package of valuable outcomes to the Partner, including a feasibility report that defines organizational and AI challenges to be solved, data source analysis, stakeholder evaluation, responsible AI practices, risk examination, and project assumptions. Additionally, the partner is provided with user journey documentation and a technical experimentation plan outlining potential machine learning technicals, metrics to drive model optimization, and recommendations on next steps. Feasibility Assessments are used as the foundation for the success of future engagements with AltaML.