PointGuard provides continuous reality detection for enterprises, automatically surfacing contradictions between stated policies, actual agent behavior, and AI outputs. The platform continuously analyzes tickets, calls, chats, knowledge bases, and AI conversations to identify process drift, policy violations, revenue leakage, and compliance risks before they escalate. It delivers evidence-backed findings with source chains and recommended next actions.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises experience operational drift as day-to-day agent behavior, processes, and AI outputs diverge from official policies and documented procedures. These contradictions often go unnoticed until they surface as customer escalations, compliance failures, revenue leakage, or broken AI systems, creating costly and avoidable business disruptions.
Solution
PointGuard delivers continuous reality detection by systematically monitoring and cross-referencing enterprise data sources including policies, knowledge bases, tickets, calls, chats, and AI conversations. The platform identifies points where stated rules and lived reality diverge, flagging process drift, unauthorized actions, and compliance exposure as they emerge. Rather than relying on periodic audits, PointGuard operates continuously to surface contradictions with supporting evidence chains and source attribution. Each detected signal includes the specific context, the divergence, and a recommended next step, allowing teams to address issues proactively before they become systemic problems.
Target Audience
Primary customers include enterprise operations, risk, compliance, and AI governance teams who need continuous visibility into how their organization actually operates versus how it is documented to operate.
Features
- Continuous scanning of policies, knowledge bases, tickets, calls, chats, and AI conversations for contradictory patterns
- Automated detection of process drift, identifying macros and workflows that deviate from original specifications
- Policy violation monitoring that flags agent actions taken outside written authority levels
- Revenue leakage alerts for unapproved discounts, refunds, and exceptions across regions and teams
- Compliance risk identification for regulatory exposure that accumulates silently over time
- Evidence-chain delivery for every finding, showing the source, the contradiction, and the recommended action