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Field Report2026.09.06

Financial institutions ask about operations before AI agents: questions from the field

Financial institutions now ask whether AI can operate safely, not simply whether it works. Field insights on document quality, closed networks, auditability, business-built agents, and governance.

PPlateer AI Labs

Field Report2026.08.12

On-premise AI agents — why XGEN

Once agents start executing inside core systems, the selection criteria change. Here is the on-premise agent platform that keeps data inside your boundary, connects to existing systems, and keeps execution controlled and traceable.

PPlateer AI Labs

Field Report2026.07.15

What hospitals actually ask when they evaluate an AI platform

Questions from a hospital evaluating an AI platform — controlling sensitive data, querying the database in natural language, documents full of tables and charts, using the model the hospital picked, and letting business staff build agents.

PPlateer AI Labs

Field Report2026.06.23

AI agents in retail: from reading documents to carrying out the work

A discussion with H, a retail and media company, on adopting AI agents — connecting document OCR to usable business data, why product-code generation is a reasoning problem, when fine-tuning is not required, and how to carry a PoC into production.

PPlateer AI Labs

Field Report2026.04.17

How could AI agents change the way a company operates?

Questions from consulting and commerce operations — which work to hand to AI, how internal and customer-facing AI differ, how to turn legacy data into a knowledge structure, and how to govern a growing fleet of agents.

PPlateer AI Labs