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Discussion and process selection
We agree the objective, recurring tasks and responsibilities. We review volumes, handling time, exceptions and activities that need to remain with staff.
AI process audit
AI process audit for businesses
We assess which tasks are worth automating and how to prepare the data. You receive an assessment of benefits and risks, with a proposal for an initial implementation.
Trusted by
Companies and institutions that need stable IT.
Before you choose an AI tool
Does your team copy data between email, spreadsheets and business systems, handle similar enquiries or search through many documents? An audit helps identify tasks where automation could be useful. We review how people carry out the process, the systems they use, exceptions and costs. The scope can cover one department or several areas of the business. On this page, an AI process audit means assessing processes for their suitability for automation.
Solutions we can compare
The choice of tools depends on the process, data and security requirements. The services below explain possible implementation options; an audit does not commit you to purchasing any of them.
n8n automation
Workflows connecting email, CRM and ERP: data synchronisation, notifications, reports and ticket handling. We assess API availability, error handling and handover to staff.RAG knowledge bases
Answers based on company instructions and documentation. We review source quality and currency, user permissions and the ability to identify the document behind an answer.Paperless AI
Organising invoices, contracts and forms through text recognition, classification, metadata and approval workflows. We assess document quality and the information people need to check.Offline AI models
Models running in your company environment. We compare hardware requirements, performance, operating costs and access rules with cloud options, including the possible use of Open WebUI.ISO 27001 · TÜV NORD Polska
TÜV NORD Polska has certified Virtline’s information security management system to PN-EN ISO/IEC 27001:2023-08. Our published certificate gives its scope and validity.
View Virtline’s certificateHow the AI process audit is performed
We combine discussions with the people doing the work with a review of data and systems. Scope, access to materials and the schedule are agreed before work starts.
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Data and systems review
We examine agreed samples, sources, document versions and permissions. We check integration options for email, CRM, ERP, databases and file repositories.
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Benefits and risk assessment
We compare expected savings with implementation and maintenance costs. We assess incorrect answers, unauthorised access and attempts to make a model bypass its instructions, known as prompt injection.
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Report and findings discussion
We explain recommendations and the proposed order of work. We distinguish processes suitable for a pilot from those needing data preparation or no automation. Implementation and ongoing support are agreed separately.
Practical scope
What you receive after the audit
The report brings together business and technical findings. It also identifies assessment limitations and information that still needs to be confirmed.
Tasks, systems, data, exceptions and responsibilities. A prioritised list of automation options, with an assessment of workload, expected benefits, implementation costs and ongoing maintenance.
A review of sources, data quality, document versions and permissions. Recommendations cover confidentiality, retention, anonymisation, encryption, activity logging and human review of answers.
A recommendation for a workflow, document search, local model or cloud model. We identify integrations and situations requiring custom software or data preparation before implementation.
Trial scope, test data, responsibilities, a schedule to agree and acceptance criteria such as handling time, errors and answer quality. We describe edge-case tests, conditions for stopping automation and decisions for management.
When to postpone automation
AI will not fix unclear process ownership or outdated data. If errors cannot be controlled or maintenance costs outweigh the benefits, we may recommend changes to working practices instead. We identify decisions that require human approval. The assessment considers personal data, trade secrets, client contracts and applicable security requirements, including GDPR, the AI Act and ISO 27001 where relevant to the process. The audit does not guarantee compliance or error-free model output. We identify areas requiring a separate legal assessment; this analysis does not replace legal advice.
Questions about AI process audits
Do you need access to production data?
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Initial discussions, a process description and agreed samples without unnecessary confidential data are usually enough to start. If system access is needed, we first agree its scope, permissions and information protection rules.
What determines the price and schedule?
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The number and complexity of processes, systems to review, and availability of data and people for interviews. Once we understand your needs, we propose a scope and schedule rather than assume every company needs the same audit.
Does the audit include implementing the pilot?
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The audit provides a pilot proposal, including its scope and a way to measure results. Implementation, integrations and subsequent maintenance are agreed separately. You can start with a single process.
Could the audit conclude that AI is unnecessary?
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Yes. A conventional system integration, better document organisation or a procedure change may be sufficient. We explain these options rather than recommend an AI model simply because it started the conversation.
Discuss the tasks you want to automate
Describe two or three recurring tasks, the systems you use and the result you want. Mention any relevant deadline. We will use this to discuss the audit scope and terms. Please do not include confidential documents in your first message.
Book a process audit