Map the current workflow
Identify the inputs, handoffs, decisions, and sources of repeated effort.
Department Deep Dive
Work through one department’s AI opportunities.
Map the work with the people who do it, prioritize candidate applications, and explore a small prototype.
The engagement in practice
From a department problem to a testable use case.
Explore an application
Use a small prototype to examine how AI could help and what people would need to check.
Decide whether to proceed
Record the evidence, limitations, and requirements for a production scope.
Examples of the work this engagement can cover. Scope and responsibilities are agreed for your organization.
The engagement at a glance.
- Best fit
- A department has a clear problem and needs practical discovery.
- Who participates
- Department owner, practitioners, and relevant IT or data contacts.
- Duration and cadence
- A short scoped engagement; plan around roughly three weeks where access and evidence allow.
- How we work together
- Discovery sessions, prototype exploration, and a Principal readout.
- What shapes the investment
- Workflow count, data readiness, Workspace access, prototype complexity, and team availability.
- The decision at the end
- Decide whether the proposed workflow earns a production investment.
What you contribute. What we deliver.
You bring
- Real tasks and examples
- Access to department experts
- Agreed testing boundaries
We deliver
- A department use-case inventory
- Prototype exploration within agreed scope
- A practical department playbook
What you may want to know.
Are prototypes production systems?
No. They help test a decision. Deployment, ongoing management, and production acceptance need their own agreement.
Discuss a department.
Decide whether the proposed workflow earns a production investment.