Start with one pilot. Architect for all seven.
A pilot-first path puts working software in front of a Carnegie team in weeks, proves the value on real data inside your environment, and de-risks the broader rollout before you commit to it.
How we would prioritize your seven
Our initial read. We refine it with your teams in Discovery.
| Use case | Impact | Effort | Pilot candidate |
|---|---|---|---|
| Concur receipts | High | Low | Recommended |
| China AI tracker | High | Medium | Recommended |
| Ask Andy intranet | High | Medium | Phase 2 |
| Contact and CRM | Medium | Low | Phase 2 |
| QC monitoring | Medium | Low | Phase 2 |
| Event logistics | Medium | Medium | Phase 2 |
| Library research | High | High | Phase 2 |
The Concur receipt agent is the fastest high-value win. The China AI tracker is the highest-visibility flagship. Either makes a strong first pilot.
01Discovery and prioritization
Weeks 1 to 2We meet the teams behind these ideas: Finance, the China Program, Sustainability, Communications, and People Operations. We map current workflows, systems, and data access, then score each use case on impact against effort.
02Design and security review
Weeks 2 to 3We design the pilot end to end: agent behavior, the connector, the human review step, and the data-governance model. Your IT and security teams review and sign off before we build anything.
03Build the pilot
Weeks 3 to 7We build on your environment, wired to your real systems in a sandbox. You see working software the whole way, with a demonstration every week.
04Measure and prove
Weeks 7 to 10A real team runs the pilot. We track time saved, error reduction, and adoption, and tune based on how staff actually use it.
05Scale across the seven
OngoingWe reuse the platform to bring the next use cases online, each one mostly configuration on the backbone from the pilot. PRR supports and evolves it.
These demos are Phase 3, already standing.
We built working versions of all seven before the call to show that we move fast and think in production. The next step is a Discovery session to choose the pilot and shape it around how Carnegie actually works.
Revisit the demos