AI AGENTS
AI That Actually Works for GRC
Eight specialized agents that autonomously execute real GRC work. Not a chatbot with a compliance skin. Agents that plan, research, analyze, and deliver.
MEET THE AGENTS
Eight agents, zero busywork
Each agent is a specialist. Together, they cover the full GRC lifecycle.
AuditBot
Audit Execution
Plans audit programs, generates workpapers, identifies control gaps, and drafts findings with evidence references.
RegMapper
Regulatory Mapping
Reads new regulations and automatically maps requirements to your existing controls, identifying gaps and overlaps.
RiskSentinel
Risk Monitoring
Continuously monitors risk indicators, detects emerging threats, and recalculates risk scores as conditions change.
SOXBot
SOX Compliance
Automates SOX 404 workflows from scoping through testing to certification. Tracks ICFR status in real time.
AIGuard
AI Governance
Monitors your AI model inventory for bias, drift, and compliance. Enforces your AI risk framework automatically.
EvidenceHunter
Evidence Collection
Autonomously gathers evidence from connected systems, validates completeness, and organizes by control objective.
NarratorAI
Report Generation
Transforms raw findings and data into executive-ready narratives, board reports, and regulatory filings.
CoPilot
Interactive Assistant
Your always-on GRC advisor. Ask questions, get recommendations, and navigate the platform with natural language.
WHY IT IS DIFFERENT
Autonomous agents, not just a chatbot
Most GRC tools bolt on a chat interface and call it AI. We built agents that do the work.
Autonomous, Not Assistive
Our agents do not wait for prompts. They subscribe to events and act proactively, completing entire workflows end-to-end.
Human-in-the-Loop
Every autonomous action has configurable approval gates. You decide what runs automatically and what requires sign-off.
Full Audit Trail
Every agent action is logged to the agent_executions table. You can trace exactly what the AI did, why, and what data it used.
Domain-Specific Training
Agents are tuned for GRC, not general-purpose. They understand frameworks, control objectives, and regulatory language natively.
ARCHITECTURE
How the agent system works
Event-Triggered
Agents subscribe to Kafka domain events. When a new regulation is published or a control fails testing, the right agent activates automatically.
LangGraph Orchestration
Complex multi-step workflows are modeled as directed graphs. Agents can branch, loop, and collaborate on tasks that span multiple domains.
Human Oversight
Configurable approval gates let you set which actions require human sign-off. Full transparency into agent reasoning and decisions.
Put AI agents to work on your GRC program
See how autonomous agents can cut audit prep time by 70% and keep your compliance posture current in real time.