Glossary
AI implementation: what it involves
AI implementation is the work of putting an AI system into production inside a business: building it, connecting it to the systems of record, testing it on real cases, launching it and keeping it running. It is the step between a strategy or a prototype and impact on the work itself. Most AI projects that stall do so here, not at the idea stage.
Featuring insights fromShaun Devan · Founder & CEOUpdated · 3 min read
Prototype vs implementation
| Prototype or pilot demo | Implemented system | |
|---|---|---|
| Data | Clean samples | The real inbox, the real formats |
| Systems | Standalone | Reads from and writes to the system of record |
| Exceptions | Skipped | Routed to a person with the evidence |
| Testing | A few good examples | Evals on real past cases, before every change |
| Owner | The builder | A named person in the business |
What implementation includes
- Mapping the process as it really runs, including the exceptions.
- Integration with the ERP, CRM or core system, with secure credentials.
- Evals, an authority line and action logging.
- A review queue and a launch plan, often running beside the old process first.
- Training the team that will operate and extend it.
How long it takes
A defined workflow is usually live within weeks. At USCAPE, five weeks separated the kickoff meeting from an order agent working the live inbox. See how delivery works.
Frequently asked questions
What are the steps of AI implementation?
Map the process, build the agent, connect it to your systems, test it on real past cases, launch it with human review on exceptions, then train the team to run it.
Why do AI implementations fail?
Most stall because the prototype never meets real data, real systems or real exceptions, or because no one in the business owns the system after launch.
What is the difference between AI implementation and AI transformation?
Implementation puts one AI system into production. Transformation is many implementations, plus the changes in process, roles and governance that make the company AI native.
