Feith's AI runs inside the same governed platform as your records, not in a separate tool you copy data into. That one decision makes AI both more accessible to your team and far easier to govern: it inherits the permissions, audit trail, and security boundary your records already have. And the model behind it is yours to choose.
Five bring AI to your records. One connects your records to the AI tools you already use. Open any capability for the full deep-dive.
Categorize records against your retention schedule, with the reasoning shown.
Learn moreRun custom AI prompts across whole record sets to extract, route, and reason.
Learn moreTurn a plain-English brief into a working dashboard on your records activity.
Learn moreChat with your records: permission-aware, and every answer cites its sources.
Learn moreSuggest FOIA, CUI, and PII redactions with reasons. Your reviewer decides.
Learn moreConnect Claude, Copilot, or your in-house agents to your governed Feith content.
Learn moreThe platform ships more AI beyond these six: sensitive-content discovery at ingest, channel monitoring across email and chat, and policy guardrails across the lifecycle. The AI in Feith white paper covers the full set
To put AI on sensitive records, agencies usually face a trade-off: move the records out to where the AI runs and lose the governance that made them trustworthy, or keep them locked down and skip AI altogether. Feith removes the choice. The AI comes to the records and runs right where they already live, so governance and AI arrive together.
The AI is already where the work is. No export, no second system, no copying CUI somewhere new. The AI sits on the records your team already manages: right-click Chat on a folder, run a prompt across a case file, generate a dashboard from an activity log.
Your records already have rules. The AI inherits them. Because the AI runs inside the platform, every request is bound by the same controls as everything else: the rules you already wrote, applied without a new policy to manage.
Capture, the records vault, and the AI all run inside a single tenant you control. Identity wraps every request, the audit trail captures every action, and the large language model plugs in where you want it, without your records ever leaving.
The model plugs in and comes to the records. The records never leave.
Switching models is a configuration change: new endpoint, new credentials, same workflow.
The model's license sits between you and its supplier, and you supply and size the inference service it runs on.
Classified and air-gapped environments run on-prem models inside the same governance, grounding, and security wrapper as cloud.
The model can change. The platform can change. These don't.
By default, AI suggests and people decide. Records officers, FOIA reviewers, and legal teams see the recommendation and the reasoning before anything is applied. For categorization, records that clear the confidence threshold you set can be filed automatically, with the reasoning logged.
Every categorization, extracted field, suggested redaction, and answer arrives with the reasoning that produced it and the source records behind it. Audit-trail entries are written automatically.
The AI sees what the requesting user sees. Records the user can't open never enter the prompt, the retrieval, or the answer. Your identity provider stays in charge.
Feith brings audit-grade AI to mission knowledge work, right where the records it reasons over already live.
Watch on YouTubeThese capabilities were built for federal agencies first. The same AI, running where each organization's records live, now serves regulated industries against their own records schedules and compliance regimes.
Request pricing › Read the AI in Feith white paper › Back to the capabilities ›
Thanks. We'll reach out to schedule your live walkthrough.
