Clarify your priorities.
Assess your audit universe and risks together to support your planning decisions.
AI-Powered Internal Audit ERP
From risk to report, manage internal audit on a single platform. Bring planning, fieldwork and finding follow-up together, and see the whole audit with AI options that fit your infrastructure.
A clearer view
When plans live in separate files, findings in different spreadsheets and actions in email threads, the big picture gets hard to see. Adjuster-Audit helps teams work from the same information.
Assess your audit universe and risks together to support your planning decisions.
Keep tests, evidence and findings connected. Hold audit records in one shared structure.
See owners, target dates and open items. Hold your follow-up meetings with up-to-date information.
Adjuster-Audit / AI module
Make your regulations, procedures and past findings part of everyday audit work. Reach the relevant information, support your assessments and advance your preparation with your organisation’s accumulated knowledge.
Explore the two operating modes →Source-based support
LLM-supported drafts
AI that fits your infrastructure
Knowledge and analysis support for standard servers; generative AI for GPU infrastructure. Evaluate the capabilities you need alongside what your organisation can provide.
Knowledge-based audit support on your existing infrastructure.
Requiring no GPU, it runs on standard organisational servers of suitable capacity. It gives your audit team source-based access to institutional knowledge and machine-learning-supported analysis.
RAG-based knowledge retrieval
Machine learning (ML)
Who is it for? Teams that want to use institutional knowledge in audit work without investing in GPUs.
From your organisation’s knowledge to analysis, summary and recommendation drafts.
A large language model (LLM) running on GPU infrastructure combines source-based knowledge retrieval with generative AI. It supports the auditor’s preparation with context-aware drafts.
Source-based knowledge retrieval (RAG)
Large language model (LLM)
Who is it for? Teams that want to bring generative AI into audit preparation with GPU infrastructure.
Let’s choose the right mode together, based on your server capacity, document volume and usage intensity.
See the AI in a demo →From risk to report / The audit cycle
Information created in planning flows into fieldwork, findings into follow-up, and results into reporting. Manage your audit from start to finish in the same structure.
Define your auditable units, processes, systems and projects. Link risk assessments to your annual plan to see scope and resources together.
Manage risks, controls, tests and evidence together with the related audit. Prepare findings through structured records and track review and approval steps.
Share opinions and actions through the Unit Portal. Track open items, upcoming target dates and delays to keep the process moving.
Present audit results and follow-up information in structured reports. Support review, sharing and analysis with Word, PDF and Excel outputs.
The process moves forward. The information stays in one structure.
One shared process / Different responsibilities
The audit team and audited units meet in the same process, each with a scope suited to their role. Information sharing and responsibilities become visible.
See plan status, team workload and open items together. Manage approval and follow-up needs with current information.
Link audit priorities to the work being carried out.
Assess workload and capacity together.
Monitor open findings, actions and reports.
Keep your evidence, tests and findings with the related audit. Reach past work and institutional knowledge through an organised structure.
See how risks, controls, tests and findings relate.
Draw on institutional documents and AI drafts.
Move your work on to approval and reporting.
Review the findings and recommendations assigned to you in the Unit Portal. Share your opinions and track your actions and target dates.
Work with the records that belong to your area.
Share your views with the audit team on the same record.
Track responsibilities and target dates together.
From record to decision
Meet different needs from a single system, from audit reports to activity summaries and from risk-control matrices to action follow-up outputs.
Prepare the information you present to management directly linked to your audit records. Choose the right format for review, sharing and analysis.
With 4Dimension
With our approach to digital transformation, information security and compliance, we address internal audit together with your organisation’s processes.
Let’s review your audit structure, teams and priorities together.
See the planning, execution and follow-up flows that matter to you in the product.
Let’s agree on deployment, customisation and the AI mode that suits your hardware.
Your questions
We can go through questions specific to your organisation together in a product meeting.
Talk to us →Adjuster-Audit is an AI-supported Internal Audit ERP that brings internal audit activities together across planning, execution, finding and action follow-up, and reporting.
It is designed for the teams of public institutions and companies that want to manage internal audit processes in a shared structure. Audit managers, auditors and audited units can each work within a scope suited to their role.
The core scope covers the audit and risk universe, annual planning, fieldwork, tests, findings and recommendations, communication with units, action follow-up and reporting.
Mode 1 does not need a GPU. It runs on a CPU-based standard server of suitable capacity, using RAG-based knowledge retrieval and machine learning. Mode 2, which offers LLM-supported generative AI capabilities, uses GPU infrastructure. We assess server suitability together with your document volume and concurrent usage needs.
Mode 1 focuses on access to institutional sources, answers grounded in source text and machine-learning-supported analysis. Mode 2 produces analysis, summary and recommendation drafts with the support of a large language model (LLM). In both modes, evaluating the outputs and final approval rest with the auditor.
No. Depending on the selected mode, the AI supports the auditor with knowledge retrieval, analysis or draft preparation. Evaluating the sources and outputs, the final decision and approval rest with authorised users.
It can draw on the regulations, procedures and past findings added to the system. Results depend on the scope of the uploaded sources; users can review the basis of each answer through source citations.
On-premises deployment is supported. Infrastructure, AI components and capacity requirements are determined in a technical assessment based on your organisation’s conditions.
Word, PDF and Excel outputs are available according to your reporting needs. We can review the reports that suit your use together in a demo.
Meet Adjuster-Audit
See how the product can be adapted to your organisation’s audit flow. Let’s review your audit processes and the AI mode that suits your infrastructure together.
Send your demo request and define the right scope with our team.
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