Every ITSM Domain.
Continuously AI-Audited.
One platform. 100+ AI capabilities. 21 purpose-built compliance auditors. A Cross-Auditor Correlation Engine that connects causal chains across every domain — from incident intelligence and change risk scoring to knowledge gap detection and regulator-ready audit artefacts.
100+
AI Capabilities
21
Compliance Auditors
70%
Audit Prep Reduction
40%
MTTR Reduction
From Incident to Compliance — AI at Every Stage
One platform. Thirty-plus AI capabilities. Every stage of the ITSM lifecycle — automated, scored, and explained.
Detect
- Proactive anomaly detection before incidents occur
- Major incident prediction with probability scoring
- Duplicate problem & change conflict detection
Respond
- AI-enriched resolutions with approval workflow
- Root cause analysis in minutes, not hours
- Knowledge gap auto-detection and article generation
Govern
- AI-automated audits across 10+ compliance frameworks
- Change risk scoring with CAB recommendations
- Vendor, workforce, and capacity risk intelligence
Improve
- Continual improvement with waste & flow detection
- ML training data generation and drift monitoring
- ROI calculator and downtime cost modelling
What Moves the Needle
The six capabilities that deliver the most measurable business impact — and the six AI engines powering them.
- Major incident predictor with 87% accuracy and a 2–6 hour early warning horizon before P1/P2 escalation
- Change risk scoring (0–100) with explainable factor breakdown, CAB recommendation engine, and freeze-window conflict detection
- 21 specialist AI Auditors covering SOX, HIPAA, GDPR, SOC 2, FedRAMP, ISO 27001, PCI-DSS v4.0, HITRUST, DORA, and ISO 22301 continuously
- Cross-Auditor Correlation Engine that surfaces causal chains and compound risks across all 21 compliance domains simultaneously
- Knowledge gap detection engine that auto-generates structured KB articles directly from incident pattern data
- AI resolution enrichment with approval workflow — validated recommendations fed back into a continuous training loop
- ML-powered incident classification trained on historical patterns with 92%+ accuracy and instant queue routing
- Compound anomaly scoring that correlates signals across infrastructure, application, and process layers simultaneously
- Predictive capacity forecasting — 90-day horizon, ±8% accuracy, and breach prediction weeks before SLA thresholds are hit
- Workforce intelligence — agent fatigue scoring, bottleneck analysis, and attrition risk modelling across service teams
- AI-generated change documentation — implementation plan, rollback procedure, test cases, and compliance checklist produced from a change description alone
- Continuous compliance evidence collection with confidence-graded, dimension-scored, regulator-ready audit artefacts across 10+ frameworks
AI Across Every ESM Domain
From the first alert to a board-ready compliance artefact — every capability, explained.
AI Insights & Incident Intelligence
AI works at every step of the incident lifecycle — from first alert to closed ticket — to accelerate resolution and prevent recurrence across the enterprise.
- Automated classification routes every incident to the right team with 92%+ accuracy and zero manual triage
- Similarity detection surfaces related open incidents and known problems in real time for immediate fix reuse
- Root cause analysis pinpoints the most likely cause from incident timelines, change history, and CMDB relationships
- Impact radius maps affected services, users, teams, and dependencies — providing a full blast-radius view instantly
Major Incident Predictor
Identifies emerging P1/P2 events hours before they escalate — enabling proactive intervention before business impact occurs.
- Signal aggregation monitors metric deviations, error rate spikes, change activity, and CMDB dependency graphs simultaneously
- Pattern matching compares current signal clusters against historical major incident fingerprints using ML similarity models
- Probability scoring outputs a 0–100 score with severity prediction, confidence level, and time-to-impact estimate
- Automated alerting pre-populates incident bridge details and suggests immediate mitigation steps
- 45% reduction in P1 events and 87% prediction accuracy in production deployments
Change Risk & Lifecycle Governance
Every change request is scored for risk before it reaches the CAB — with a full AI breakdown of factors, confidence, and recommendation. Change lifecycle audits run pre-submission, pre-approval, pre-deployment, and post-deployment.
- AI risk score (0–100) with explainable factor breakdown across complexity, timing, dependencies, and history
- CAB recommendation engine states whether CAB review is required with urgency level and human-readable rationale
- Conflict detection identifies scheduling conflicts, dependency collisions, and freeze-window violations across all pending changes
- AI-generated implementation plan, rollback procedure, test cases, release notes, and compliance checklist from the change description
- 80% reduction in change-related incidents across production deployments
Knowledge & Problem Management AI
AI identifies unresolved incident themes with no knowledge coverage, generates the missing articles automatically, and accelerates problem management from candidate detection through board-ready RCA reports.
- Gap detection scans incidents for recurring themes lacking a KB article — ranked by frequency, severity, and user impact
- AI article generation drafts fully structured knowledge articles with symptoms, steps, resolution procedure, and verification
- Problem candidate detection identifies chronic patterns by incident frequency, total downtime, and resolution cost
- Batch RCA analyses multiple related incidents simultaneously and produces a board-ready report in minutes
- 3× faster knowledge creation and 68% self-service deflection lift
Proactive Monitoring & Capacity Forecasting
AI continuously monitors, scores, and alerts before thresholds are breached — and forecasts infrastructure demand and workforce capacity with a 90-day horizon.
- Anomaly scoring measures deviations from historical baselines (0–100) with compound-risk alert grouping
- Capacity forecasting analyses CPU, memory, storage, network, and application utilisation trends with breach prediction
- What-if scenario modelling calculates capacity impact of planned changes before they happen
- Workforce intelligence tracks agent fatigue, bottleneck distribution, and attrition risk across service teams
- 35% fewer capacity incidents and ±8% forecast accuracy across production deployments
21 Specialist AI Auditors
Purpose-built compliance auditors continuously score, evidence, and benchmark each ITSM domain against regulatory requirements — producing regulator-ready artefacts with dimension breakdowns and trend history.
- SOX, HIPAA, GDPR/CCPA, SOC 2 Type II, FedRAMP/NIST 800-53, ISO 27001, PCI-DSS v4.0, HITRUST CSF, DORA, ISO 22301 — all native
- CMDB Accuracy, Incident Management, Change Management, Problem Management, Knowledge Management — process domain auditors
- SLA Performance, Capacity, Workforce, Vendor Risk, and Service Catalogue — operational domain auditors
- Each auditor produces 0–100 composite scores per domain with dimension breakdowns and audit run history
- 70% reduction in audit preparation time and 3.2× faster regulatory compliance readiness
Cross-Auditor Correlation Engine
The intelligence layer that connects all 21 auditors — surfaces causal chains and compound risks that no single auditor can detect independently.
- Causal chain discovery hypothesises and scores relationships between findings across all 21 auditors
- Compound risk detection surfaces scenarios where medium-severity findings in different domains combine into a critical organisational risk
- Cross-domain quick wins identify single remediation actions that simultaneously improve three or more auditor domain scores
- System health narrative produces a board-ready summary of overall ITSM and compliance posture from all 21 data points
- Each correlation is graded by confidence (High / Medium / Low) and severity with supporting evidence cited
21 Specialist AI Auditors
Each auditor is purpose-built for one domain — producing 0–100 composite scores with dimension breakdowns, evidence citations, and trend history. Not general AI summaries. Regulator-ready artefacts.
SOX
Financial statement accuracy, segregation of duties, ITGC, and audit trail completeness
HIPAA
PHI access logging, breach risk assessment, Security Rule controls, and Business Associate oversight
GDPR / CCPA
Data subject rights fulfilment, consent management, retention compliance, and breach notification
SOC 2 Type II
Trust service criteria (Security, Availability, Confidentiality, Processing Integrity, Privacy)
FedRAMP / NIST 800-53
Control family coverage, POA&M tracking, ConMon evidence, and ATO readiness
ISO 27001
Annex A control assessment, risk register currency, ISMS audit programme compliance
PCI-DSS v4.0
CDE scoping, 12 requirement area scoring, network segmentation, pen-test schedule
HITRUST CSF
19-domain control scoring, healthcare-specific inheritance mapping, certification readiness
DORA
ICT risk management, operational resilience testing, third-party ICT provider oversight
ISO 22301 BCMS
BIA completeness, RTO/RPO achievement, BCP test results, crisis communications
CMDB Accuracy & Hygiene
CI completeness, relationship integrity, staleness detection, CMDB coverage
Incident Management Maturity
SLA adherence, escalation patterns, reopen rates, resolver effectiveness
Change Management Maturity
Risk scoring accuracy, CAB quality, conflict rate, PIR completion
Problem Management Maturity
Backlog health, RCA quality, KEDB accuracy, incident recurrence
Knowledge Management
Article quality, deflection rates, gap coverage, contribution compliance
SLA Performance
SLA breach trending, breach cause attribution, escalation pattern analysis
Capacity & Availability
Utilisation trajectories, breach risk prediction, architectural risk identification
Workforce & Capacity
Agent fatigue, bottleneck distribution, attrition risk, workload balance
Vendor Risk Intelligence
SLA adherence, concentration risk, contract currency, dependency mapping
Service Catalogue
Catalogue accuracy, request fulfilment rates, catalogue hygiene and currency
Cross-Auditor Correlation Engine
Causal chains, compound risks, and system health narrative across all 21 domains
Quantified ROI — What Customers Achieve
Measured outcomes from organisations operating continuous AI audit intelligence.
70%
Reduction in audit preparation time
40%
Reduction in MTTR across all incidents
3.2×
Faster regulatory compliance readiness
Incident Management
40% MTTR reduction, SLA performance +18 points, incident reopen rate -55%.
Change Management
Failed changes -38%, emergency changes -60%, PIR completion +45%.
Compliance & Audit
Audit prep time -70%, external audit fees -35%, breach risk -82%.
Knowledge & Self-Service
Deflection rate +28%, agent onboarding -30% time, KEDB accuracy +60%.
Vendor Management
Vendor SLA disputes -65%, contract negotiation effort -50%, concentration risk -40%.
Financial Impact
£1.8M average annual saving from breach prevention. 3.2× faster regulatory compliance readiness.
Cross-Auditor
Correlation Engine
The intelligence layer that connects all 21 auditors — surfacing causal chains and compound risks that no single-domain auditor can detect independently.
"Why did our SOC 2 score drop the same week CMDB hygiene fell? Because three change-freeze violations corrupted configuration data, triggering alert fatigue in SecOps, which delayed patch deployment — correlation score: 94%"
Causal Chain Discovery
Hypothesises and scores relationships between findings across all 21 auditors — e.g. CMDB inaccuracy → Change collisions → Incident spikes.
Compounding Risk Detection
Surfaces scenarios where two medium-severity findings in different domains combine to create a critical organisational risk.
Cross-Domain Quick Wins
Identifies single remediation actions that simultaneously improve scores across three or more auditor domains.
System Health Narrative
Produces a board-ready paragraph synthesising the organisation's overall ITSM and compliance posture from all 21 data points.
Evidence & Confidence Scoring
Each correlation is graded by confidence (High / Medium / Low) and severity (Critical → Low) with supporting evidence cited.
See All 21 Auditors in Action
Walk through how XpediOo's AI Auditor Suite and Service Management AI Studio operate on your environment — with scored findings, causal chains, and regulator-ready evidence on day one.