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 03

Contact and relationship management

An agent that maintains the contact database through a Salesforce connector: it finds duplicates, proposes merges, and enriches records with titles, organizations, and topics. A person approves every merge.

Our play for this Salesforce connector, out of the box
1We have done this
Commercial real estate and insurance
We run contact enrichment at scale for Marsh McLennan.
See our track record
2What we need from you
  • Admin approval of a Salesforce Connected App
  • A sandbox org and your segment rules
3How we implement
  • Connect Salesforce with least-privilege scopes
  • Tune matching and enrichment to your segments
  • Route every merge to a person
4Live on your data
about 2 weeks
Then we validate together and move to the next use case.
ArchitectureSalesforceDedupe + enrich agentHuman approvesBack to Salesforce
See it working, with mock data
1Connect a Salesforce export
Drag a file here, or
In production the agent reads Salesforce directly through the connector. For the demo, drop in an export.