PAIGE: Public Affairs Issues GPT Enumerator

We’ve been exploring different ways to apply AI to solve problems in professional spaces in which we’re familiar.

We’ve built a proof-of-concept of how one can use different LLMs (large-language models) for both staff augmentation and to simulate organizational interactions according to a working process.

If your company or organization has a proprietary procedure for tasks like answering RFPs, developing a campaign strategy, chances are you rarely get the right people together to run it in a “best practices” way. It seems that AI can help fill gaps on your team to make these processes work the way you want, every time.

Likewise, if you’re struggling to crack the code on what a repeatable business process — a workflow or a playbook — should look like, AI can help. You can use AI to simulate interpersonal interaction within your proposed workflow and tweak it until you get the outcomes you want, then finalize and start socializing with your team.

The brief here is a public affairs consultancy looking to automate some of the heavy-duty staff work that takes place during every campaign planning phase. We wanted to make sure we could build an AI system that could be deployed behind a client’s firewall and thus minimize the privacy and confidentiality risks associated with using cloud-based AI.

Watch the demo here.