ERP Support
ERP AI support reduces tickets, boosts user adoption, and automates workflows inside D365 with contextual guidance.
ERP systems, though critical to business operations, generate a steady stream of user queries that are often repetitive, time-sensitive, and difficult to resolve quickly. Manual triage and resolution slow down workflows, frustrate employees, and inflate support costs—making it difficult to unlock the full value of the ERP investment.
55% of ERP implementations fail to meet expectations due to user adoption challenges
Nearly 50% of ERP users say they don’t fully understand the system’s workflows, creating costly errors and delays
70% of organizations cite training and change management as the top barrier to ERP ROI
On average, companies lose 20–30% of potential ERP efficiency to poor usage and lack of process standardization
What if ERP support requests resolved themselves, users got instant guidance, and every workflow bottleneck turned into an insight you could act on? With AI at the core, ERP transforms from a cost center into a driver of efficiency and business value.
Provide step-by-step guidance inside D365, helping employees complete workflows correctly augmenting formal training.
Automate routine ERP tasks like data entry, approvals, and reporting to minimize errors and improve efficiency.
Offer on-demand, contextual assistance for complex ERP processes, reducing support tickets and speeding up adoption.
Auralis AI agents make this vision a reality, delivering faster, compliant, and more empathetic support at scale.
Customer expectations are higher than ever — and scaling great support has never been harder. Auralis gives you enterprise-grade AI agents that actually do the heavy lifting, so your customers get fast, consistent help and your team can focus on what matters most.
Other store owners love Auralis – here’s why
PowerOffice Go is one of Scandinavia’s leading cloud-based ERP and accounting platforms. It streamlines finance, payroll, invoicing, and project management into a single intuitive solution, helping companies work smarter and more efficiently.
Norway
Cloud ERP and SaaS
150+
We chose to implement Auralis as an AI assistant for our support team after a thorough evaluation process of alternative solutions and suppliers. Our collaboration with Auralis has been very valuable, characterized by a consistently high level of professionalism and responsiveness.
Terje Johansson
Product Director
Whether it’s help desks, documentation, videos, CRMs, e-commerce, or customer support tools, Auralis enhances your workflow by integrating with all major platforms. Any platform with an API can be integrated with Auralis
We don’t just implement AI — we make it work securely and seamlessly for your business. Starting from extraction and clean-up to ongoing optimization, we are with you every step of the way
We do the hard work. data clean-up, model training, integrations, monitoring, and maintenance — all managed by us, so you don’t need a data science team.
Our solutions are shaped around you. We design, train, and optimize AI on your data and workflows. We don’t take generic models and try to fit you in like most of the other solutions in the market.
Instantly integrates with over 500+ tools that your team already uses out of the box. Anything with an API can be integrated with.
Seamlessly orchestrate public and open-source LLMs — or bring your own — and deploy them anywhere: cloud, private, or on-premise, with full flexibility to match your infrastructure and compliance needs.
Up and running in days, not months. We deliver measurable results quickly, without lengthy implementations or bloated consulting bills.
Compliance you can trust. Certified to industry-leading security and privacy standards (ISO, SOC2, GDPR, HIPAA-ready).
Choosing the right AI bot can make or break your customer experience. This guide walks you through the key questions to ask and factors to consider before investing in an AI agent for your business.
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We integrate via APIs and webhooks to connect with major ERPs (e.g., SAP, Oracle, NetSuite, Microsoft Dynamics) and adjacent systems like P2P, inventory, and finance tools. Where native connectors exist, we follow vendor-recommended patterns; where custom APIs are provided, we implement those. The goal is to meet you in your current stack without rip-and-replace.
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.
See what AI-powered cloud and ERP service can do for your team, with Auralis.
