We build AI and data systems inside your operations.
We work with operating and finance leaders to choose the use cases worth funding, scope the data and integration work, build the systems, and hand them over to your team.
What makes an AI program work
We identify the opportunities worth pursuing, estimate the financial impact, and agree on who owns the result before development begins.
We identify the source systems required for each use case, resolve important data and definition issues, and scope the integration work early.
We design the solution around the existing business process and integrate it into the systems people use to do the work.
Your team works alongside us during delivery and takes on more responsibility as the program develops.
How the capability is organized
The program is the use cases running in production. The office is the standing group that builds and supports them. A central group owns the platform, the standards, and the specialists who are hard to hire. The rest of the team sits in the business units, close to the process being changed.
See the full operating model- DATA & PLATFORM
- DATA SCIENCE & ML
- PLATFORM & MLOPS
- GOVERNANCE
- BUSINESS OWNER
- PROCESS EXPERT
- DELIVERY ANALYST & ENGINEER
Delivery approach
We review the business, assess data readiness, agree on the first use cases, and design how the office will be staffed and governed.
Enough platform to serve the first use cases, starting with the integration and data quality work that decides when the first release can go live.
The first use cases go into production and into daily use, measured against the business case finance agreed to.
Working solutions extend to other business units, and your team takes over delivery, support, and the intake of new work.
Choosing what to build
Each candidate is scored on the value at stake, the source data available, the integration work required, and whether the people doing the job will use the result. The funded set is balanced across four categories.
Modest value and low delivery risk, so a few go first and the program produces results while the platform work continues.
High value and harder to deliver, carrying most of the business case and taking the longest to build.
High value, but constrained by regulation or by source data that is not ready, and scheduled once the platform and controls can support them.
Low value and low effort, picked up when there is capacity to build them properly.
Where the team has worked
The practice exists to help build a strong American industry. Our team has spent careers doing this work inside some of the largest operations in the country.
PLUS ENTERPRISE EXPERIENCE ACROSS FORTUNE 500 INDUSTRIAL, FINANCIAL SERVICES, AND TECHNOLOGY COMPANIES.
Recent writing
Start with one use case
A discovery call is enough to walk through one process, the systems behind it, and what building it would involve.