AI-powered incident triage, change risk scoring and CMDB automation — built on the ServiceNow platform you already run.
Most organisations have invested heavily in ServiceNow but still rely on human triage to classify, prioritise and route every ticket. That creates a bottleneck at exactly the point where speed matters most.
We embed AI directly into your existing ServiceNow workflows — scoring incidents as they arrive, predicting change risk before a CAB review, and surfacing known fixes from your own knowledge base. The result: faster resolution, fewer escalations, and a CMDB that stays accurate without manual audits. Generative AI drafts resolution notes, writes knowledge articles from closed tickets, and produces post-incident reports automatically. Agentic AI takes it further: autonomous agents that span the full ITSM lifecycle — receiving an alert, creating the incident, correlating with past problems, executing a remediation script, and closing the ticket without human handoffs.
Everything runs on your ServiceNow tenant. No data leaves. Every AI action is logged, auditable, and overridable by your team.
AI classifies, prioritises and routes every incoming incident in seconds. NLP reads the short description, matches to known patterns and assigns the right team — before a human even opens the ticket.
Every change request is scored before it reaches the CAB. ML models weigh CI relationships, historical failure rates, change window conflicts and blast radius — surfacing high-risk changes that need human review and auto-approving routine low-risk ones.
Root cause identification that works across your full incident history. AI clusters related incidents, links to known errors, suggests workarounds from your own knowledge base and flags recurrence patterns before a new wave hits.
AI-powered discovery that keeps your CMDB accurate without manual audits. Automatically maps CI relationships, detects configuration drift, flags stale records and reconciles data from your monitoring, cloud and endpoint tools.
AI that reads and writes inside ServiceNow — not just routes tickets. It summarises long incident threads for bridge calls, drafts resolution notes in your own tone, generates post-incident reports from raw timeline data, and turns every closed ticket into a structured knowledge article. Resolvers spend time fixing, not writing.
Autonomous AI agents that handle complete ITSM workflows without human handoffs. An agent receives a monitoring alert, creates and classifies the incident, correlates it against open problems, retrieves a known fix, executes the approved remediation runbook, and closes the ticket — all within minutes. Every step is logged, auditable, and overridable. Human escalation paths are preserved where your policy requires them.
Four domains where AI-powered ITSM makes the biggest difference to resolution speed and cost.
Critical incident triage for core banking outages · change risk scoring for compliance windows.
Use case: P1 outage auto-triage & bridge call D02Cross-agency service requests · citizen-facing portal incidents · compliance change management.
Use case: Shared-services CMDB reconciliation D03Network incident clustering · change risk for tower maintenance · problem analysis across NOC.
Use case: NOC incident-to-problem correlation D04Clinical system incident priority · medical device CMDB · change windows around surgery schedules.
Use case: EMR change risk scoringDiscovery to scale, with a working pilot in weeks — not quarters.
See how we deliver →We will scope one ServiceNow AI use case — incident, change or CMDB — and deliver a working pilot in weeks.
