Comparison
| Criterion | AI pilot | AI platform |
|---|---|---|
| Target | Check the usefulness of the script. | Scale AI as an enterprise service. |
| Data | Limited set of sources. | Unified model of sources, rights and journals. |
| IS | Minimum sufficient control. | Architectural control, audit, roles, policies. |
| When to choose | We need to quickly test the hypothesis. | There are several scenarios and operational requirements. |
What to choose
The best route is to start with AI discovery, then launch a pilot, and design the platform layer when the scenarios, data and security requirements are confirmed.
Frequently asked questions
Is a platform always needed?
No. If there is only one scenario and the risk is low, you can start with the pilot.
When is a platform required?
When there are multiple processes, sensitive data, access roles, auditing and production requirements.
What does discovery give?
Discovery helps you select a scenario, evaluate the data, and determine whether a platform approach is needed.
Let's discuss your environment
Describe the task, current systems, constraints, and expected results. We will offer a practical first step: diagnostics, pilot, audit, roadmap or project team.
