High-volume turnover in the Chaplain Corps and routine chapel administration made resource, maintenance, facilities, and transition work disruptive and pulled chaplains and religious support specialists away from spiritual readiness work.
Reported impact
CHAP automated administrative tasks, gave time back to chaplains and religious support specialists, reduced disruption during personnel transitions, preserved institutional knowledge, and helped inform commanders' finance and facilities decisions.
The U.S. Army Chaplain Corps, through Maj. Sean Callahan, built the Chaplain Administrative Platform (CHAP) as an in-house AI agent and dashboard during the Command and General Staff College AI Basics elective. The article describes CHAP as a no-code, replicable tool for chapel community administrative management that automates day-to-day work around resources, supply, maintenance, facilities, and related decision support. Its implementation is grounded in prompt engineering and use of Large Language Models, with the builder iterating prompts and guardrails across different LLMs to improve outputs. CHAP is intended to convert tacit institutional knowledge into explicit, reusable guidance that can transfer between posts with minimal deviation, while presenting actionable information to chaplains, religious support specialists, and commanders. The source does not identify a model vendor, storage architecture, or named external integrations.
"CHAP automates administrative tasks giving time back to chaplains and religious support specialists to dedicate to the spiritual readiness of the force."
"His main focus behind CHAP was to let the agent handle the day-to-day resource, maintenance, and facilities thinking"
"How can we turn that tacit knowledge into explicit knowledge? Like turning institutional knowledge to SOPs or readily accessible videos"
"One of the things that was very helpful to me was learning how to use AI to craft the prompts to build things with AI, sending it back and forth to different LLMs to learn where my gaps were, what I should consider, what guardrails I should put into place."
"The elective’s focus on prompt engineering was a focal lesson for Callahan, illuminating the importance of information put into the Large Language Models."
"encouraging the creation of Callahan’s Chaplain Corps-focused, Chaplain Administration Platform, CHAP, in just a few weeks."
"students like Maj. Sean Callahan, 65A, Chaplain, are building custom AI agents to increase efficiency, preserve institutional knowledge, and return valuable time to mission-critical tasks."
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