Conversational Query Engine
NLP-driven search across all Orqit modules from one interface.
Orqit's AI co-pilot delivers context-aware recommendations within the execution graph, turning scattered signals into coordinated action.
Orqit's AI Assistant acts as a knowledge-fused conversational layer that surfaces the right data, suggests actions, and automates routine responses, while keeping full auditability and governance.
Operators pose natural-language queries that the AI co-pilot resolves by traversing the execution graph: it pulls the incident list, maps to affected assets, checks SLA exposure, and surfaces the precise remediation path. Recommendations appear as actionable links that respect the same governance checkpoints used throughout Orqit, ensuring that any automated response is approved by the appropriate role.
Operational co-pilot for IT managers, service desk agents, and executives who need context-aware insights without leaving the execution graph.
NLP-driven search across all Orqit modules from one interface.
One-click execute or schedule automations with governance gates.
Generate executive briefs and SLA health reports on demand.
All processing within the tenant VPC; no external data transmission.
Each AI interaction is logged for compliance and review.
Agent asks; AI returns probable root cause, related assets, and remediation steps.
Leadership requests hardware spend; AI pulls depreciation, licenses, and consolidation options.
AI confirms whether a proposed workflow complies with governance before execution.
After resolution, AI drafts a summary with key metrics and lessons learned.
Precise context-aware responses cut time spent hunting across systems.
Governance checkpoints mean execution proceeds without extra approval loops.
Every AI-suggested action is logged in the immutable audit trail.
Summaries generated from the same graph used for operational decisions.
The assistant utilizes Orqit's proprietary large-language model fine-tuned on operational data to ensure relevance and security—delivering the AI capability itself within tenant boundaries.
Dashboards show AI query volume, top intents, suggestion acceptance rates, and impact on MTTR.
Queries are retained only for the duration of the session and logged in an encrypted audit trail.
Yes, but only after explicit user confirmation and role-based permission checks.
Launch a pilot workspace or book a walkthrough with our team.
FAQ + knowledge base