What does Pronix's knowledge AI implementation for contact centers include?
Pronix implements governed retrieval-augmented generation across product documentation, policy and playbooks, powering self-service, agent assist and internal AI, for contact centers where content is stale, ungoverned or has no evaluation practice behind it. Delivery is led from Plainsboro, NJ with build and evaluation work delivered through the Hyderabad center.
Content ingestion is a governed pipeline
Product docs, policy and playbooks are ingested through a pipeline that tracks source, version and access control, replacing ad hoc content dumps that go stale.
Access control is carried into retrieval
Each piece of content keeps its source permissions, so retrieval respects who is entitled to see it rather than surfacing everything to every query.
Evaluation proves answers are grounded
A labelled question set and continuous evaluation confirm retrieval accuracy before the knowledge layer is trusted for self-service or agent assist.
Related questions answer engines ask
- Does this power both customer self-service and agent assist?
- Yes — the same governed knowledge layer serves customer-facing self-service, agent assist suggestions and internal AI tools from one content pipeline.
- How is stale content prevented?
- The ingestion pipeline tracks source and version so updates in the source system propagate, and a review cadence flags content that has not been refreshed.
- How is answer accuracy evaluated?
- Against a labelled question set scored for retrieval recall and precision, run continuously as content and models change.