Moving from a promising AI idea to a production application requires clarity about the problem, users, data, architecture, value and risk. Without this shared understanding, teams can invest in concepts that are difficult to use, integrate, govern or scale.
A focused AI app workshop helps stakeholders test their assumptions, explore the proposed user experience and agree on practical next steps.
Launchpad for AI Apps is a Microsoft co-funded, in-person workshop focused on one high-value AI use case. Across a single day, Arinco helps define the problem, shape the user experience and build a grounded prototype on Microsoft Azure.
The prototype is tested against realistic scenarios to assess feasibility, value and risk. The workshop also establishes the target architecture, responsible AI controls and next steps required to progress towards production.
Give one high-value AI use case the depth needed to progress.
Build and test a working, grounded prototype on Azure.
Validate feasibility, value and risk before committing to delivery.
Align business, technology and risk stakeholders around one solution.
Leave with a clear, build-ready plan for the next stage.
Beginning with a Launchpad for AI Apps workshop, Southern Cross Health Society worked with Arinco to develop two Azure-based proof-of-value applications. A Post-Call Assistant automates transcription, summarisation, categorisation and quality checks, while a Real-Time Knowledge Assistant helps representatives find information during live calls.
The impact:
An AI app workshop focuses on one priority use case. Business and technology stakeholders define the problem and users, explore data and architecture requirements, build a working prototype, test realistic scenarios and agree on the next steps towards production.
Organisations should identify a specific business problem, the people affected and the value an AI application could create. Access to relevant subject matter experts, example content and information about existing systems will help ground the prototype in realistic requirements.
The workshop produces a working prototype and build-ready plan for a defined use case. Further engineering, integration, security testing, governance and operational preparation may be required before the application can move into production.
Talk to Arinco about validating a priority AI use case, building a grounded Azure prototype and defining the practical next steps towards production.
Get started on the right path to cloud success today. Our Crew are standing by to answer your questions and get you up and running.
