AI Assistant

When operators drown in fragmented data, decisions stall

Orqit's AI co-pilot delivers context-aware recommendations within the execution graph, turning scattered signals into coordinated action.

Orqit AI Assistant – Secure Enterprise Operational Co-Pilot illustration
Strategic positioning

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.

Who this is for

  • IT managers seeking AI-driven insights
  • Service desk agents who need on-the-fly assistance
  • Executives looking for AI-powered executive summaries

Operational pain points

  • Information overload Disparate dashboards bury the signal operators need to act.
  • Context hunting Time lost searching for relevant tickets, assets, or policies.
  • Inconsistent decisions Quality varies across teams without shared operational intelligence.
  • No real-time prediction Limited ability to surface predictive insights when they matter.
Execution-aware ITSM

See the full impact chain—not just the symptom

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.

IT operations team collaborating
Capabilities

Platform capabilities

Operational co-pilot for IT managers, service desk agents, and executives who need context-aware insights without leaving the execution graph.

Conversational Query Engine

NLP-driven search across all Orqit modules from one interface.

Actionable Suggestions

One-click execute or schedule automations with governance gates.

Contextual Summaries

Generate executive briefs and SLA health reports on demand.

Secure Data Handling

All processing within the tenant VPC; no external data transmission.

Audit Trail

Each AI interaction is logged for compliance and review.

Workflow examples

How incidents move through Orqit

  1. 1

    Incident Diagnosis

    Agent asks; AI returns probable root cause, related assets, and remediation steps.

  2. 2

    Cost Review

    Leadership requests hardware spend; AI pulls depreciation, licenses, and consolidation options.

  3. 3

    Policy Check

    AI confirms whether a proposed workflow complies with governance before execution.

  4. 4

    Post-mortem Draft

    After resolution, AI drafts a summary with key metrics and lessons learned.

Operational benefits

Outcomes your teams will feel

Answers without tool switching

Precise context-aware responses cut time spent hunting across systems.

Pre-validated recommendations

Governance checkpoints mean execution proceeds without extra approval loops.

Stronger compliance

Every AI-suggested action is logged in the immutable audit trail.

Executive reporting built-in

Summaries generated from the same graph used for operational decisions.

Governance & security

Built for audit and least-privilege

AI usage

Co-pilot within your guardrails

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.

Analytics visibility

Operational dashboards that executives trust

Dashboards show AI query volume, top intents, suggestion acceptance rates, and impact on MTTR.

ITSM analytics charts
Integrations

Connects to your stack

FAQ

Common questions

Does the AI store my queries?

Queries are retained only for the duration of the session and logged in an encrypted audit trail.

Can the AI execute privileged actions?

Yes, but only after explicit user confirmation and role-based permission checks.

Ready to modernize IT operations?

Launch a pilot workspace or book a walkthrough with our team.