Project starting points
Match your priority to a project scope and relevant services.
Our data is scattered
Establish a consistent data foundation
Assess source systems and data quality, plan any required migration, and validate the destination. Align metric definitions and reporting with the decisions your teams need to make.
First stepMap the sources and define the first decision the data must support.
We need a new product
Develop a business application
Define the core user journey, design the interface, engineer the product or mobile app, and set up a delivery process that can support future changes.
First stepChoose the core user journey and a realistic first release.
An AI pilot needs to scale
Prepare an AI application for production
Evaluate the model against the intended task, integrate data and application interfaces, and define deployment, monitoring, and human oversight requirements.
First stepDefine the target workflow and agree on model evaluation criteria.
Releases take too long
Automate the path from code to production
Look at the release path from code to production. Introduce automation for builds, tests, infrastructure, and monitoring where manual steps create delays or risk.
First stepIdentify the release step that most often slows the team down.