The business
Our client is a US-based Fortune 500 manufacturer. Its plants and operations run on SAP, its sales teams work in Salesforce, and more data sits in other business systems. Its leaders want AI in daily work across the business, built on data their teams already trust.
The goal
One foundation for data and AI
Data in one place
Bring SAP, Salesforce and other system data together on one platform.
A cloud built for AI
Build on a platform with strong native data and AI services.
The right first use cases
Pick the AI work with the clearest payback for the business.
AI that fits the work
Keep every build close to the people who run the workflow.
The solution
What we delivered
- StrategyComplete
- Data foundationPhase 1, complete
- AI use case scoringPhase 2, in progress
- Data platform strategy
- A future-state data platform, planned with the client's data leaders. Together we chose Google Cloud to build on its native data and AI services.
- A data foundation on Google Cloud
- The platform built, with the client's SAP workloads and data brought onto it. Operations data now sits in one place, ready for analytics and AI.
- AI use case scoring
- Each candidate use case scored with the business teams on value, cost benefit and readiness.
- A ranked shortlist
- The two to three use cases with the clearest payback, chosen to build first.
- More systems on the foundation
- Salesforce and other systems join the platform next, each adding context for analytics and AI.
How we deliver
A team shaped to each use case
A forward deployed engineer works alongside the client's business owners. Behind them, we assemble a pod for each use case with the skills that use case needs.
Forward deployed engineer
Works with the client every day, owns the scoring conversation and agrees acceptance criteria with each business owner.
Engineering pod
Engineers chosen for the use case, who build, test and ship it.
Subject matter experts
Specialists in the data, models and platforms the use case runs on.
Domain expert
One person who knows the business workflow end to end and keeps the build true to how the work gets done.
Results so far
The outcomes
Data foundation
Phase one is complete, with SAP data on Google Cloud.
Platform for data and AI
Analytics and AI use cases all build on the same foundation.
Use cases to build first
Ranked on value, cost benefit and readiness.
Team for each build
A forward deployed engineer and a pod lined up for each use case.
What it makes possible
AI built on data the business already uses
With SAP data in place and Salesforce next, the client can build AI on the data its teams work with every day. Each new use case starts from the same foundation, and each new data source makes the next one stronger.