Stop reacting. Start preventing. The Major Incident Predictor performs a three-pass AI analysis against your live incident and change data:

• Pass 1 — Signal Extraction 
  Identifies early warning indicators from current incident volume, open change requests, and CI health status
• Pass 2 — Pattern Matching 
  Compares current signals against historical resolved P1/P2 incidents to find structural similarities
• Pass 3 — Risk Synthesis
  Produces a composite risk score, confidence level, and time-to-impact estimate

The result is a live risk monitor, a CI risk heatmap, an early warning feed, and a pattern library — all updating in real time. Your NOC team acts before users ever notice a degradation.

Compliance is not a quarterly exercise. The Incident Lifecycle Auditor runs continuously, evaluating every incident against your defined standards using a two-layer enterprise audit engine:

Layer 1 — Portfolio-Wide Risk Scoring:
Every incident is scored against deterministic rules: documentation gaps, SLA breaches, orphaned escalations, missing root cause on Critical/High priority tickets, and unassigned records. The entire portfolio is risk-classified into High, Medium, and Low audit risk tiers in seconds — no AI cost, no latency.

Layer 2 — AI Deep Audit:
A stratified sample of 25 incidents is drawn across five risk tiers — highest risk, chronic reopeners, MTTR outliers, documentation gaps, and cross-category coverage — and sent to the AI for evidence-based analysis. Every finding is tied to a specific incident ID with bias-neutral reasoning.

Output:

• Portfolio grade (A–F) with an overall compliance score
• 10–15 specific findings with severity, type, regulatory flags (SOX, HIPAA, GDPR, PCI-DSS), and actionable recommendations
• Status bottleneck heatmap with per-stage dwell time analysis, root cause, and improvement actions
• AI classification health report with retraining triggers
• SLA breach patterns by priority and category
• Executive summary grounded exclusively in your actual data

When the AI is unavailable, a rule-based fallback ensures the dashboard always has actionable findings — zero dependency on uptime.

Connect Service Management AI Studio to your existing ITSM ecosystem without ripping and replacing anything.

Supported Platforms:

• ServiceNow 
• Freshservice (Roadmap)
• BMC Helix, Ivanti ISM (Roadmap)

Bi-Directional Sync Engine:

• Full sync 
  Paginate and ingest all records from the external source on demand
• Incremental sync 
  Watermark-based pulls that only fetch records updated since the last run, keeping API costs and processing time minimal
• SHA-256 checksum deduplication
  Unchanged records are skipped automatically
• Conflict resolution strategies
  Choose Remote Wins, Local Wins, Last Write Wins, or Skip per entity type
• Field-level scope filters
  Restrict sync by assignment group, category, and date range so you never pull ten years of closed tickets
• Dry-run mode
  Preview exactly what would be synced before writing a single record to the database
• Incremental watermarks
  High-water mark timestamps displayed per entity type per connection, showing precisely when each data type was last updated

Entity types synced: Incidents, Problems, Change Requests, Configuration Items, Knowledge Articles, Service Requests.

Changes are the leading cause of incidents. The Change Lifecycle Auditor applies the same two-layer audit approach to your change portfolio:

• Risk assessment accuracy vs. actual post-change incident rate
• CAB approval compliance and backout plan documentation
• Emergency change pattern analysis
• Change success rate by category, priority, and implementer

Findings are mapped to SOX change management controls and ITIL v4 change enablement practices, providing ready-made evidence for auditors.

A CMDB is only valuable if it is accurate. The platform’s AI-powered CMDB module continuously:

• Detects configuration drift between the recorded state and the last known actual state
• Identifies relationship gaps where CIs are in use but not linked to services or owners
• Maps impact radius — “if this CI fails, which services and users are affected?”
• Flags stale records that have not been validated recently

The result is a CMDB your teams trust and your auditors can rely on.

Built-in compliance auditors cover every major regulatory framework your IT organisation is likely to face:

Each auditor produces findings, a compliance score, and specific evidence mapped to framework controls — ready for your next external audit.

Move beyond symptom treatment. The Problem Management module uses AI to:

• Cluster related incidents and automatically identify problem candidates
• Perform AI-assisted five-whys root cause analysis against the incident history
• Track known errors and workarounds with a searchable Known Error Database
• Measure problem resolution effectiveness by comparing incident recurrence rates before and after fix implementation

Available on every incident detail page, the AI Resolution Copilot gives engineers a structured, in-context workspace with seven dedicated panels:

• Resolution Guidance
  Step-by-step AI-recommended resolution path based on category, priority, and similar resolved cases
• Diagnosis Checklist
  Structured diagnostic questions and verification steps
• Similar Cases
  Incidents with matching characteristics and how they were resolved
• Collaboration Advisor
  Suggests the right team, escalation path, or subject matter expert
• User Response Drafter
  Generates professional, appropriately detailed user-facing update messages
• Knowledge & Changes
  relevant knowledge articles and recent changes to the affected CI or service
• Ask AI
  free-text interface for any ad hoc question about the incident, the CI, or the resolution approach

Find anything across the entire platform with a single question. The Natural Language Search engine accepts plain English queries and translates them into structured filters across incidents, problems, changes, knowledge articles, and service requests simultaneously.

Example queries:

• “Show me all critical network incidents from last week that were reopened”
• “Which high priority problems have no root cause documented?”
• “Open change requests affecting the Payment Gateway service”

Results are returned in a command-palette interface with tabbed views, entity cards, metadata pills, and recent search history — accessible from anywhere via keyboard shortcut.

Define, monitor, and enforce your SLA commitments with full AI support:

• SLA target configuration per priority and category
• Real-time breach detection and near-breach warnings
• SLA performance trends by team, service, and time period
• AI-generated root cause analysis for persistent SLA breaches

Align every improvement initiative to measurable outcomes:

• Log improvement actions linked to specific audit findings or incidents
• Track status, owner, and target completion
• Measure before/after metrics to quantify the impact of each improvement
• AI-generated improvement recommendations based on recurring bottleneck patterns

Quantify the business value of your ITSM investment with the built-in ROI Calculator:

• Input incident volumes, resolution times, analyst headcount, and downtime costs
• AI generates an executive narrative, industry benchmark comparison, feature-level recommendations, scenario analysis, and a phased implementation roadmap
• What-if Scenario Builder compares multiple configurations side by side with bar chart visualisation
• Q&A chat assistant for stakeholder questions