Instant ERP Support. Smarter Processes. Confident Teams.

You decide what the AI can read, propose, or execute, with guardrails per module, value, and role. Sensitive actions (like out-of-policy changes) require human approval, and every step is attributed and logged. This keeps approval chains intact while removing routine back-and-forth.

Data is encrypted in transit and at rest, with SSO/MFA, RBAC, and immutable audit logs. Auralis aligns with ISO 27001, SOC 2 Type II, GDPR, and HIPAA-ready practices where relevant. Retention and deletion follow your policies, and data is never used to train external models.

Yes, cloud, private VPC, or fully on-prem are supported so you can meet residency and vendor-risk requirements. Customer-managed keys and network allow-listing are common patterns. Architecture choices are documented to support audits and change control.

Most teams start with a narrow intent set (e.g., invoice and PO status) to deliver value in days. We expand weekly as accuracy and policy adherence are proven. Runbooks and acceptance criteria keep each phase disciplined and measurable.

Yes, classification and responses can operate across multiple languages for global shared-service teams. You can localize tone and terminology per region. Governance ensures translations remain aligned with your master policies and templates.

We connect directly to your system of record so values (amounts, statuses, dates) are pulled at answer time. Knowledge and policy content sync on schedule or by webhook and pass review before publication. Drift alerts flag content that no longer matches source truth.

Yes, Auralis handles repetitive questions (cutoff times, checklist steps, report paths) and routes exceptions to the right owner. It can surface close checklists, dependencies, and blockers in one place. This reduces noise so finance teams focus on reconciliations and analysis.

Approval chains are configured by request type, value thresholds, and risk level. Requesters and approvers get clear prompts with linked evidence, and outcomes are recorded for audit. This preserves governance while speeding routine decisions.

Workflows are designed with transactional rollback and safe retry. If an error occurs, the case is escalated with full diagnostics so a specialist can resolve it quickly. All attempts and outcomes are captured for post-mortem review.

Auralis guides users through required fields, validations, and policy rules before submission. Suspect entries can be flagged for human review based on your criteria. This reduces downstream rework and improves reporting accuracy.

Guardrails cap actions by module (AP/AR/GL), amount, business unit, and user role. The system prompts for approvals when thresholds are exceeded and tags exceptions for governance review. Controls are adjustable as confidence grows.

Dashboards show top intents, time saved, backlog risk, and cycle-time trends by process (AP, AR, P2P, inventory). You can drill into transcripts and actions for QA. Exports and APIs feed your BI stack for consolidated reporting.

Yes, policy-aware guidance covers PO creation steps, approval routes, receipt matching basics, and return workflows. Users get contextual help in the portal while actions and statuses come from the ERP. Exceptions are escalated with reason codes and attachments.

Access is least-privilege by design, and masking rules hide sensitive fields unless the role permits viewing. Documents are stored per your retention policy with audit metadata. Every access and change is tracked for compliance.

Yes, in-app guidance is supported via JavaScript components or connectors your platform exposes. Users get contextual assistance without leaving the screen they're on. All interactions are recorded back to your service desk or ERP, as you prefer.

During close, audits, or new rollouts, Auralis absorbs repetitive requests and keeps specialists focused on edge cases. Content and rules can be pre-loaded for expected surges. Afterward, analytics identify recurring pain points to fix permanently.

We scale by module and process family, AP and vendor queries first, then AR, inventory, and reporting. Each expansion has quality gates and stakeholder sign-off. This staged approach keeps outcomes predictable and compliant.

We orchestrate different models for retrieval, classification, and generation based on accuracy, cost, and governance needs. You can bring your own models if residency or performance requires it. This avoids lock-in and lets you tune the stack per region or workload.