Agent Builder
Visual and code-based agent creation. Define triggers, conditions, actions, and fallbacks. Chain agents together for complex multi-step workflows across your institution.
Multi-Model Support
Use any LLM as the agent's brain — GPT, Claude, Llama, Mistral — or plug in your institution's own Superintelligence. Swap models without rewriting agent logic.
Autonomous Decisions
Agents read the current state of Ghost, evaluate against rules and models, and make decisions. From procurement approvals to incident escalation — decisions at machine speed.
Execution
Autonomous Operations
Agents don't just decide — they execute. Operations that mutate the semantic layer, trigger downstream systems, send communications, and update records. The full loop from intent to action.
Trigger → Read State → Decide → Operate → New State
Control
Semi-Autonomous Mode
Not every action should be fully autonomous. Set confidence thresholds — agents act independently on high-confidence decisions and escalate uncertain ones for human review.
Governance
Human-in-the-Loop
Full audit trail of every agent decision. Approval gates for critical operations. Override capabilities at every step. Your people stay in command — agents amplify their capacity.
Three modes of agent operation
From fully autonomous to fully supervised — deploy agents at the autonomy level that matches your risk tolerance and operational maturity.
Full decision + execution authority
Confidence-based escalation
Real-time audit logging
Decide autonomously, gate execution
Human approval on operations
Batch review workflows
Agent recommends, human decides
Side-by-side comparison mode
Training data for future autonomy
Agents that learn your institution
Every agent operates within the context of your Ghost digital twin and Superintelligence. They don't just follow rules — they understand your institution.
Plug in any LLM or your own Superintelligence
Chain agents for multi-step institutional workflows
Confidence scoring on every decision
Full audit trail with explainable reasoning
Graceful degradation when models are unavailable