Every new AI initiative starts with the same core questions: what is the smallest slice we can ship that proves value, how do we instrument it so we know it is working, and what happens when we turn the dial up?
At Dola, we codified those answers into our Discovery Sprint → Systems Blueprint → Build Loop playbook. It keeps stakeholders aligned, de-risks data and model choices, and bakes in observability from day one.
What the playbook includes
- A collaboratively defined success metric and counter-metrics
- A system diagram with explicit data, model, and guardrail surfaces
- A weekly shipping plan with eval checkpoints and rollback paths
When to use it
If you are about to launch a net-new AI capability, or need to regain control of an experiment that has sprawled, this is the fastest way we have found to get back to a crisp plan with provable outcomes.