How we deploy
A defined path from first connection to measured results
We connect your systems, validate the model against your history, and deploy against outcomes agreed with your team.
Four steps
1. Start from a domain modelAn opinionated model of the domain, ready on day one
2. Connect and validateBacktested against your past cycles and reviewed with your team
3. Deploy against outcomesAgreed measures of success, with approvals where they matter
4. Improve and expandThe next improvement, and the next domain, on the same model
You provide access and judgment, and we do the rest
You provide
- Access to your systems
- Documents, policies, and context
- Answers to the questions that matter
- Approval for consequential changes
We do
- Build and validate the model
- Deploy the applications, agents, and workflows
- Measure projected and realized value
- Keep improving it
Start with one domain
In the first weeks you see the model working on your own data.
Enrollment
VP Enrollment
What you see first- 1A working Enrollment HQ on your own data
- 2The class forecast, backtested against past cycles
- 3Your share in each market, next to raw counts
- 4Applications, transcripts, and transfer credit processed, with an academic index for every student
Student Lifecycle
VP Student Success · Provost
What you see first- 1A working Student Success HQ on your own data
- 2Retention predictions, backtested against past terms
- 3D, F, and W risk for next term’s course loads
- 4The students to reach first, and why
Each domain you add is faster to deploy and strengthens the others
Start with one domain, then expand on the same model
We scope the first domain with your team and agree on the outcomes to measure.
