5i Projects rolls out Riftur, an AI tool that aims to cut the toil and errors from compliance gap analysis

This article was written by the Augury Times
New tool, familiar problem: 5i Projects says Riftur will make gap analysis simpler and less error-prone
5i Projects this week introduced Riftur, a software tool it says uses artificial intelligence to speed up compliance gap analysis. In plain terms: the product is meant to take the long, manual work of comparing an organization’s policies, controls and evidence to regulatory rules—and make that process faster, clearer and less likely to miss something important.
The company pitches Riftur as a practical answer to a common headache for compliance teams. Instead of hunting through documents and spreadsheets, Riftur promises a workflow that reads rules, maps them to internal procedures and highlights where a business falls short. 5i Projects says the goal is fewer blind spots, clearer remediation tasks and reports that are easier to share with auditors or managers.
How Riftur is built: a hybrid AI approach with document mapping, scoring and traces
According to the announcement, Riftur takes several kinds of inputs—regulatory texts, internal policies, audit findings, control evidence and systems logs—and runs them through a mix of rule-based logic and machine learning. The company describes a layered system: strict rules handle exact matches and legal phrasing, while machine learning models do the fuzzy matching and context work that rules struggle with.
The output is aimed at three practical needs. First, a prioritized list of gaps where current practice does not meet a rule. Second, suggested remediation steps or control changes. Third, an auditable trail that links each gap back to the source documents and the reasoning used to flag it. That trail is important because compliance teams need to show how they reached conclusions.
5i Projects also highlights integrations and security features. Riftur is said to connect to common document stores, governance, risk and compliance (GRC) platforms, and identity systems so it can pull evidence and push findings into existing workflows. On the security side, the release emphasizes encrypted data handling, role-based access and an option for on-premises deployment for sensitive clients.
Where the announcement leans into technical detail, it stresses explainability: the company claims Riftur will annotate why it matched a rule to a piece of evidence, rather than leaving teams to guess. That is an important claim—AI models can be opaque, and explainability is often the key to trust in regulated settings.
Why this matters now: the crowded compliance tech market and the limits of AI hype
Compliance and audit work is a steady, global market because rules keep changing and organizations still rely heavily on human review. Longstanding GRC vendors and newer startups already offer tools for document management, policy automation and control testing. Riftur sits in an area where vendors try to automate the mapping from rules to controls.
An AI-first approach can be powerful: it can spot patterns humans miss and reduce repetitive work. But buyers should be cautious. AI can make useful suggestions, yet it also generates mistakes when fed poor data or when models overgeneralize. In regulated industries, auditors and regulators may not accept machine-only outputs as evidence; they typically want human review and clear audit trails.
So Riftur will compete on accuracy, explainability and how well it plugs into existing systems. If it genuinely reduces manual effort while producing traceable findings, it will find customers. If the product leans too heavily on opaque model outputs, adoption will be slower among risk-averse groups.
Who stands to gain: target users, typical workflows and the claims on savings
The release names several target sectors: government agencies, financial services, energy and manufacturing. Practically, Riftur is pitched at compliance officers, internal auditors, legal teams and consultants who run audits or prepare for regulators.
Use cases include pre-audit gap assessments, ongoing regulatory change monitoring, merger and acquisition diligence where quick compliance checks are needed, and remediation tracking after an audit flags issues. The company suggests customers could spend less time assembling documents, reduce consultant bills and get faster sign-off from auditors.
Notably, the announcement does not provide customer examples, pilot results or concrete pricing. That means early buyers will need to judge claims on fit and performance without public case studies to read first.
What to watch next: adoption hurdles, missing details and the rollout plan
Riftur may help firms cut routine work and surface hidden gaps, but several questions remain. Buyers will want clarity on pricing, real-world accuracy metrics, how models are updated for new rules, onboarding effort, and whether regulators accept the tool’s outputs as part of formal evidence packages.
5i Projects says Riftur is available for demonstration and trial, and it highlights deployment choices for sensitive environments. For organizations thinking about a trial, the sensible next step is to test the tool against a known compliance snapshot and inspect the audit trail it produces. That will show whether Riftur is an assistant that measurably reduces risk—or an inexpensive way to add noise to a process that still needs human scrutiny.
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