Carnegie AI PlatformConcept by The PRR Group
Live demonstrations

The same four steps for every use case

We took the seven use cases you gave us, matched each to work we already run for existing customers, and built a working demo on mock data. Every one follows the same play: we have done it before, here is what we need from you, here is how we build it, and here is how fast it goes live. See it work, tell us what to change, and we move to the next.

Runs where your team already works: In Microsoft Teams On your platform Single pane of glass
01Concur receipts02Library research03Contact / CRM04China AI KMS05QC monitor06Event logistics07Ask Andy
Use case 07

Ask Andy, the intranet agent

Staff ask a question and get a reliable answer grounded in the Comms and HR documents on Andy. The agent also hands back the actual source document, so no one hunts through the intranet.

Our play for this Andy intranet connector, out of the box
1We have done this
Federal and human services
We run secure, audited knowledge systems for HSI, HHS, and the DOJ.
See our track record
2What we need from you
  • A read-only service account and SSO configuration
  • The Andy libraries to index
3How we implement
  • Index Andy through your SSO, read-only
  • Ground every answer in the source text
  • Return the source document with each answer
4Live on your data
about 2 to 3 weeks
Then we validate together and move to the next use case.
ArchitectureAndy (HR + Comms)Retrieval agentGrounded answer+ source document
See it working, with mock data
Indexed from Andy

Answers are grounded and cited. If Andy has no authoritative source, the agent says so and routes to a person.