Implementers

Implementa's vocabulary, in the clear.

What each term we use means. No empty jargon.

Implementer: A senior practitioner who ships AI to production inside an Implementa pod. Not a consultant who recommends.
AI Operator: The role that executes inside a pod. Implementa's freelance layer are the Implementers (= AI Operators).
Pod: A small group of senior operators in one capability, coordinated by a Practice Lead, with Customer Success facing the client.
Capability: One of Implementa's three areas: AI Growth, AI Operations or AI Infrastructure. The org is built by capabilities, not functions.
Practice Lead: Owner of a capability: defines its strategy and standards and runs its pod.
Customer Success: The stable, visible face for the client throughout the project.
AI SDR: An AI prospecting system that generates and qualifies meetings. Part of the AI Growth capability.
GEO / AEO: Generative / Answer Engine Optimization: optimizing to surface and be cited in AI answers like ChatGPT or Perplexity.
RAG: Retrieval-Augmented Generation: retrieving your own knowledge to feed a model, with permission control and citation. AI Infrastructure capability.
AI workforce: AI agents that cover full operational functions autonomously. Part of the AI Operations capability.
Capability Owner: An Implementer who productizes the reusable systems of their capability; the bridge to Internal Systems.
Paid trial: A first real project, paid and supervised, that serves as both evaluation and onboarding to join Implementers.