Financial Risk Detection Solution to Identify Risks and Eliminate Errors
With Sixthfin, identify fraud and errors before they disrupt your operations through advanced, automated analysis of your data.
Our technology will strengthen your controls, protect your processes, and transform your company’s financial security into an enduring competitive advantage.
Detect risks, investigate errors, and enhance the robustness of your accounting
Fraud and error detection is built on a rigorous and proactive three-step approach:
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1 Advanced detection of weak signals
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2 Detailed investigations
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3 Strengthened, harmonised, or corrected internal practices
Proactive and Automated Accounting Risk and Error Detection
Harness the full potential of AI to identify weak signals and anticipate risks across all your entities; even the less critical ones:
- Leverage a library of over 300 pre-configured controls
- Monitor weak signals across your operations
- Calculate personalised risk levels for each transaction by assigning a weighting value (aligned with your risk mapping)
- Easily detect atypicals, duplicate invoices, double payments, VAT risks, or supplier payment delays
- Flag process inefficiencies and unexpected access to the accounting workflow
Rigorous and Precise Investigations
Own and document every step. Validate or address alerts with detailed investigations and comprehensive documentation:
- Structure your work with dedicated workflows for task assignment and validation
- Explore data with drill-down capabilities that provide detailed insight into each individual transaction
- Document every phase of the investigation, attach supporting documents, and ensure a complete audit trail
- Understand the origins of the flaws in your processes and controls to prevent future occurrences
Strengthened and Harmonised Accounting Practices
Unify, secure, and improve. Ensure rigorous financial management of your accounting processes:
- Enhance the quality of accounting controls with robust processes and accurate financial operations
- Gain a consolidated view and seamless monitoring of internal rules, whatever the size of your organisation
- Build a culture of control. Integrate auditing and internal control mechanisms across your operations
- Customise your work and analysis programmes to meet the specific needs of your organisation while enhancing their relevance
Built to detect risks and errors seamlessly.
A clear, easy-to-use platform tailored to your organisation, teams, and priorities.
Corruption Detection and Regulatory Compliance with French Sapin II and UK Frameworks
Strengthen your regulatory compliance across France and the UK with a specialised module designed for excellence:
- Benefit from a comprehensive library covering the level 1, 2, and 3 accounting controls required by the Sapin 2 Law
- Ensure compliance with UK frameworks such as the Economic Crime and Corporate Transparency Act (ECCTA) and the Bribery Act through structured tools supporting fraud prevention measures
- Centralise execution, documentation, and analysis of your controls with an efficient and structured tool
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Your Frequently Asked Questions About
Financial Risk Detection
1. How can major accounting risk areas be identified?
Vulnerabilities typically cluster around manual end-of-period entries, access rights anomalies, VAT risks, and supplier delays. Without dynamic analysis of these areas, the finance department operates with a partial view of the actual risk. The challenge is to be able to assign customised criticality to each entry type. Tailoring the risk parameters to your specific business model is the only way to move from generic monitoring to strategic oversight.
2. How to ensure accounting anomalies are detected in a timely manner?
Late detection,often during an audit or incident, is a symptom of a reactive rather than preventive system. An effective approach relies on continuous monitoring of weak signals, automated entry profiling, and targeted automatic alerts. Without this level of granularity, sophisticated fraud patterns or procedural bypasses can persist for several years before being identified.
3. How to distinguish real anomalies from false positives?
A control system that triggers too many undifferentiated alerts leads to team desensitization, where critical warnings are eventually ignored. The relevance of alerts depends directly on the quality of the settings: criticality weighted by risk type, contextual filtering, and the ability to quickly investigate in depth to qualify each signal. The goal is to focus teams on truly significant anomalies.
4. What should be monitored to ensure effective detection of accounting risks and errors?
Detection is only as good as the data feeding it. In multi-ERP, multi-CoA, multi-currencies international groups, data heterogeneity is the #1 obstacle: data is not comparable, and controls cannot be applied consistently. Before even talking about automation, the priority is to harmonise and ensure the reliability of accounting data so that it can be used for analysis and supervision purposes.
5. How can weak signals on risky transactions be detected?
A proactive approach relies on monitoring all transactions, profiling entries and automatically detecting anomalies. Working on samples or periodic reviews is no longer sufficient when volumes become significant: the most sophisticated fraud schemes are designed precisely to fall below traditional detection thresholds.
