IQ Agents
IQ Agents use a proprietary multi-model process to analyze and cross-check outputs, prove quality on a sample before scaling, and log every human and AI decision along the way.
Government, legal, and compliance teams want AI in review — but handing a decision to a model that can't explain itself, might be wrong, and gives you no way to check its work before it runs across the full scope of documents isn't worth the risk.
IQ Agents run inside a guided agentic workflow that lets your team set the criteria, track recall and precision, and affirm the quality of the results on a sample before the agent proceeds to execute across the full document set.
A guided workflow validates quality on a sample set before full execution, while multiple Al model process cross-check outputs for accuracy.
Every Al and human decision is logged with supporting rationale, with recall and precision metrics to help results hold up under scrutiny.
Reviewers retain full authority to approve agent's decision before the workflow proceeds across the full scope.
Estimated time and cost are shown before full run, giving teams full visibility before committing resources.
IQ Agents run on locally hosted LLMs, inside the same security perimeter that carries Casepoint's FedRAMP® High and DOD Impact Level 5 and 6 authorizations. Agents live inside Casepoint: one platform, one login, nothing new to vet.
IQ Agents run on the same foundation as IQ Assist, CaseAssist®, and MCP Server enablement — the intelligence layer behind Casepoint IQ. Every new capability you add builds on infrastructure your team has already vetted.
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