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What We Do
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Feasibility AssessmentMinimize risk, maximize results, and set your organization up for success.
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AI LabLeverage shared experience and collaboration to drive adoption and results.
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Catalog of OpportunitiesEmbark on your AI adoption journey with confidence.
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Generative AI WorkshopUncover innovative ways to engage with your data to shape your future.
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Featured
Why Enterprise AI Needs a Data-Product Approach
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Some Industries We Support
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Energy and ResourcesDrive innovation and promote sustainability while gaining a competitive edge.
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Financial ServicesBoost efficiency, reduce costs, and streamline processes.
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Forestry and AgriculturePave the way for a productive, efficient, and greener future.
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HealthRevolutionize care delivery, improve outcomes, and save lives.
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ManufacturingStreamline production, eliminate costly downtime, and enhance quality control.
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Featured
AltaML Makes the List of Top FinTech Companies Leveraging Artificial Intelligence
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What We Do
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Contact
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Featured
Jurisage and CiteRight Finalize Merger, Become Jurisage Group Inc.
Feasibility
Assessment
Unlock the power of AI with confidence
Minimize Risk,
Maximize Results
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.
Reduce Risk
Evaluate the viability of AI integration, identify potential challenges upfront, and make informed decisions, reducing the risk of costly and unsuccessful implementations.
Infused Learnings
Apply valuable insights and learnings from 400+ AltaML use cases seamlessly into your implementation to ensure more informed and effective deployment of AI solutions.
Maximize Success
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 Have Passed Feasibility
With over 70% of use cases successfully moving past 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.
Feasibility Assessment:
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.
Feasibility Assessments in Action
We approached AltaML because we thought that AI may be able to help us unlock a lot of value within the data that we were generating within our mill and across our business lines.
AltaML took a methodical, fresh eyes review of our business and operations. This foundational work put our first AI Models into production in our mill – already driving up to $70,000 in savings per year. With AltaML’s support, we are expanding the AI work we are doing in the mill to continue to drive yield and efficiency.
We’d recommend AltaML as a partner to any organization looking to adopt AI within their business, as we’ve found their focus on getting AI into use to be of great value.
Gordon Giles
Business Unit Leader
Alberta-Pacific Forest Industries
Through the cross functional discussions, we see new perspectives emerge. We tackled work that we otherwise wouldn’t have and done so in a cost-effective way, resulting in learnings that we can apply to our own analytics development and delivery cycles internally.
Sam Hayes
Head of Advanced Analytics
Suncor
We approached AltaML because we thought that AI may be able to help us unlock a lot of value within the data that we were generating within our mill and across our business lines.
AltaML took a methodical, fresh eyes review of our business and operations. This foundational work put our first AI Models into production in our mill – already driving up to $70,000 in savings per year. With AltaML’s support, we are expanding the AI work we are doing in the mill to continue to drive yield and efficiency.
We’d recommend AltaML as a partner to any organization looking to adopt AI within their business, as we’ve found their focus on getting AI into use to be of great value.
Gordon Giles
Business Unit Leader
Alberta-Pacific Forest Industries
Through the cross functional discussions, we see new perspectives emerge. We tackled work that we otherwise wouldn’t have and done so in a cost-effective way, resulting in learnings that we can apply to our own analytics development and delivery cycles internally.
Sam Hayes
Head of Advanced Analytics
Suncor
