Big4 and assurance firms
Standardise IT audit delivery across clients and engagements while preserving audit criteria, reviewer accountability, partner oversight and methodology control.
LoginAI assuranceplatform for seriousIT audit work.
AuditorAI helps audit institutions and assurance teams move from spreadsheet-driven fieldwork to a controlled SaaS workflow for COBIT scoping, criteria-based evidence review and defensible conclusions.
Designed for supreme audit institutions and assurance teamsCOBIT-based evidence reviewHuman-led AI assuranceTraceable findings from criteria to report
Audit intelligence map
A living audit trail from mandate to report.
Click each signal to see how AuditorAI connects IT audit methodology, COBIT control logic, evidence quality, AI review and defensible reporting inside one controlled assurance workflow.
Supreme audit institutions
Run cross-institution IT assurance work with comparable audit matrices, repeatable control language, disciplined evidence requests and audit-ready reporting.
Internal audit leaders
Modernise recurring ITGC, governance, cybersecurity, continuity and compliance reviews while keeping scope, criteria, evidence and findings connected.
IT audit methodology foundation
Aligned to the way public-sector and assurance IT audits are actually performed.
Financial, performance and compliance audit logic
IT audit work often supports broader financial, performance and compliance audit mandates. AuditorAI keeps each IT control review connected to audit objectives, criteria, business impact and reportable assurance.
General and application control coverage
The platform supports review logic for IT general controls and application-level processing controls, helping teams evaluate whether systems protect data, process transactions reliably and support auditable operations.
Confidentiality, integrity, availability and validity
Evidence review is structured around core information system control concerns: confidentiality, integrity, availability and validity of processed data, not only document presence.
Risk-based scope and audit matrix thinking
AuditorAI helps translate mandate, risk, audit objective, criteria, required information, analysis method and findings into a traceable workflow that mirrors serious IT audit planning and reporting.
Audit matrix and report trail
The workflow is shaped around audit matrix discipline: issue, objective, criteria, information required, analysis, finding, recommendation and management response remain part of one connected trail.
COBIT capability assessment signals
Where process assessment is needed, AuditorAI can support capability-oriented thinking by keeping process evidence, work products, weaknesses and improvement signals visible for reviewers.
COBIT methodology at scale
From stakeholder needs to process-level evidence.
COBIT gives audit teams a governance and management language for enterprise goals, IT-related goals, enablers, processes and control objectives. AuditorAI operationalises that language inside a SaaS workflow so each question, criterion, required information item, analysis step and evidence item can be traced to a defensible audit judgement.
Evaluate, Direct and Monitor
Board-level governance, value delivery, risk appetite and stakeholder transparency.
Align, Plan and Organise
Management system, risk, security, suppliers, human resources and strategic alignment.
Build, Acquire and Implement
Change control, projects, assets, solutions, transition and implementation discipline.
Deliver, Service and Support
Operations, incidents, continuity, security services and service request execution.
Monitor, Evaluate and Assess
Performance, internal control, compliance and assurance-ready monitoring.
Governance cascade
Make the audit trail visible from mandate to management action.
Stakeholder needs are connected to enterprise goals and IT-related goals, so the audit mandate remains tied to measurable business value and public accountability.
COBIT domains become a reporting language for governance and management, keeping process evidence and capability signals comparable across engagements.
Control questions are linked to criteria, information required, expected support and evidence quality, so reviewers can see why each conclusion is defensible.
Findings and capability signals are prepared for leadership, committees and oversight bodies, turning fieldwork into accountable management action.
Verification gap
Data volume and complexityHuman review capacityWhy SaaS, why now
Audit work is growing. Review capacity is not.
Modern IT audits deal with more systems, more evidence, more regulatory pressure, more outsourced services, more cybersecurity exposure and more emerging technology risk. AuditorAI is built to close that verification gap by letting AI prepare structured review signals while auditors retain control over criteria selection, judgement, escalation and reporting.
Less reconstruction
Audit teams spend less time rebuilding logic after fieldwork.
Criteria checks
Evidence is compared against audit criteria and expected support, not just stored as attachments.
COBIT questions
Structured questions can cover governance, management, control and risk domains.
Assurance workflow
A controlled path from audit questions to evidence-based conclusions.
Scope by mandate and risk
Define the audited entity, audit objective, COBIT process area, information system boundary and risk scenario that matters.
Request required information
Collect policies, logs, records, plans, approvals and system extracts against the information required by the audit programme.
Review against criteria
AI prepares document-to-criteria signals against expected evidence, control objectives and reviewer prompts.
Conclude with traceability
Auditors approve, adjust and defend findings with a full trail from objective, criterion and analysis to evidence.
Risk scenario logic
Connect control review to real exposure.
COBIT risk scenario thinking helps auditors move beyond checklist completion. AuditorAI keeps the line between threat, vulnerability, impact, likelihood, control weakness, evidence and response visible across the audit lifecycle.
Threat events and vulnerabilitiesBusiness impact and likelihoodWeak or missing control signalsRisk response and follow-up ownership
Trust architecture
Designed for accountability, confidentiality and review discipline.
Human-led assurance
AI prepares review signals, but professional judgement remains with the auditor and review chain.
Entity isolation
Each audited organisation works inside its own perimeter, audit scope, evidence requests and feedback history.
Evidence integrity
Documents, metadata, review comments, adequacy decisions, findings and final conclusions stay connected.
Executive oversight
Leadership sees progress, missing support, weak controls, capability signals and reporting readiness across the portfolio.
Ready for institution-scale delivery