SPIRE is implemented in five tiers.

We’ll help you identify high-impact business problems that can be solved with AI and develop a strategic roadmap for implementation.

We can do this with some or all of these methods:

• Hold stakeholder workshops to understand your business goals and pain points.
• Conduct “Art of the Possible” sessions to educate executives on AI capabilities.
• Hold AI Opportunity Discovery Workshops
  • Half-day or full-day workshops with executives and functional leaders.
  • Result: A prioritized list of high-value AI opportunities within the business.
• Perform an Opportunity Analysis and do ROI modeling.
• Develop of a phased AI Implementation Roadmap.
• Conduct an AI Readiness Assessment
  • Review of data infrastructure, analytics maturity, and organizational readiness.
  • Result: Report with roadmap for enabling AI initiatives.

At the end of this phase we’ll deliver a comprehensive AI Strategy document and an executive presentation.

For clients with a defined problem, we will design the technical blueprint for a robust and scalable AI solution.

We’ll perform some or all of these activities:

• • Data readiness assessment.
  • Algorithm selection and model design.
  • System architecture design, including data pipelines and tech stack recommendations. Recommend ML/LLM architectures and integration approaches with existing systems.
  • Definition of use cases, feasibility analysis with ROI, data sources, success metrics and testing protocols.
  • Possible projects: Define specific AI projects aligned with business goals and data availability.
  • Technology Stack selection.

At the end of this phase we’ll present a detailed Solution Design Document (SDD).

We’ll build a functional, minimum viable prototype to demonstrate the feasibility and business value of a proposed AI solution before full-scale investment. We’ll create your prototype using Querium internal PhD staff.

In this phase, we’ll perform these tasks:

• • Conduct agile development sprints to build the prototype.
  • Create sample integrations with your important data sources (where applicable).
  • Conduct performance testing and validation of the prototype.
  • Demonstrate the working prototype to key stakeholders.

At the end of this phase, we’ll deliver you a working software prototype showcasing the feasibility and a performance report with recommendations for production and potential ROI.

We’ll empower your teams with the knowledge and skills necessary to understand, utilize, and manage AI solutions.

We can conduct some of all of these activities in this phase:

• Conduct customized workshops & executive briefings on AI trends.
• Perform technical training for your data scientists and engineers.
• Give your management guidance on establishing internal AI governance frameworks.
• Create customized playbooks for Internal AI Adoption within your organization.

If you wish, Querium can then offer you one-stop shopping for the development, deployment and management of the AI solutions we prototype.

• We can deliver functioning applications with test suites and documentation.
• We can set up cloud-based hosted Kubernetes environments on AWS, Azure, or Google Cloud.
• We can create monitoring solutions to measure availability and performance of your production applications.
• We can perform maintenance updates according to an agreed update schedule.