Grow your capability.
Bring your people with you.
Connect the conversation about AI to the work that needs to change—and the people who can help change it.
Start a conversationFrom a shared direction
to work you can build on.
AI & Workforce Strategy Lab
Make the next decision with a fuller picture.
Bring leaders, HR, operations, IT, and people doing the work together to explore opportunities and implications.
A prioritized use-case shortlist, workforce considerations, baseline measures, and an owned 90-day action plan.
Applied learning pathways
Build skills around a real problem.
Develop technical talent and business builders through complementary Microsoft or Google learning pathways.
Practical skills demonstrated through a project, feedback, and a clear review rubric.
Applied Delivery Studio
Give useful experiments a way forward.
Pair business experts and technical learners with an engineering reviewer around a bounded use case.
A prototype, evaluation evidence, and the documentation needed for the organization’s delivery process.
The handoff starts
at the beginning.
Agree on the environment, data, tools, review criteria, and ownership before the first prototype. The people closest to the work stay involved through testing and adoption.
A reviewable project includes:
- A business problem, baseline, and success criteria
- A workflow, user stories, and acceptance criteria
- Source code or a platform export
- A data, integration, and permissions map
- Test cases, evaluation evidence, and known limitations
- Release, support, ownership, and cost considerations
Your engineering team decides whether to accept, revise, or rebuild the implementation. Production release follows your established process.
Explore each step of the journey
Map the workflow and its exceptions. Agree on who should benefit, what success looks like, and where human judgment must stay involved.
- Who’s involved
- Business sponsor + the people doing the work
- What moves forward
- An agreed problem and a measurable starting point
Build something small enough to test. Use approved data and tools, and record the permissions, prompts, integrations, and assumptions behind it.
- Who’s involved
- Business builder + developer
- What moves forward
- A working prototype in an approved sandbox
Try realistic cases and failure paths with users. Document limitations and human approvals so engineering and security can make an informed decision.
- Who’s involved
- Engineering + security + users
- What moves forward
- Evaluation evidence and a reviewable handoff
Your engineering team accepts, revises, or rebuilds the solution through its normal release process. Track quality, adoption, cost, and the impact on people.
- Who’s involved
- Existing delivery + operations teams
- What moves forward
- A release decision, support owner, and outcome measures
Better work.
Growing capability.
We encourage teams to measure quality, adoption, review effort, and realized value alongside skills, confidence, and new opportunities for people.
Begin with a bounded project and an accountable sponsor. Learn from the results before expanding.
Assess your starting point