RegRails.ai maintains the regulations that apply to your licence. Upload your internal policies, see which obligations they cover and where they fall short, move findings into a structured register, and generate board, committee and audit reports - with the source, section and version behind every finding.
See RegRails.ai in action.
Most compliance tools start with an empty box and ask you to find the right regulations yourself. RegRails.ai starts with the obligations for your licence already in place, then connects the steps that are usually scattered across documents, spreadsheets, emails and manually prepared reports - so compliance work produces structured requirements, identified gaps, owned remediation and management-ready insight.

Finding the right notices, guidelines and circulars - and confirming you have the current version - is the hardest part of the job. RegRails.ai maintains them for you. Set your jurisdiction, regulator, licence type and regulated activities, and the obligations that apply to your firm are there on the first screen, each tagged at the level it actually applies. For Singapore, the library is complete for capital markets services licensees doing fund management, including retail.
A maintained regulatory obligations library for MAS-licensed fund managers - so compliance review starts with the right requirements, not a blank spreadsheet.

Loading regulations once is not enough, because regulators amend them. When a new version of an instrument is issued, RegRails.ai compares it against the previous one and labels every obligation as new, amended, unchanged or removed. It then re-checks only what changed against your policies and shows which of your documents no longer cover the requirement.
Regulatory change management for smaller compliance teams - see the impact of an amended notice on your own policies, not just that it happened.

The same extraction that builds the maintained library works on anything else you upload. Turn dense regulatory and policy documents into structured requirements your team can review, search and use, each retaining useful context such as category, severity, status and source reference.

Know which obligations are covered, where policy language is incomplete and which requirements have no matching internal rule. Your applicable obligations come from the maintained library for your licence, so the analysis runs against the real requirements rather than whatever happened to be uploaded - distinguishing compliant, partial and gap outcomes.
Use RegRails.ai as policy gap analysis software to compare internal execution policies against the obligations that actually apply to your licence, and identify gaps before an audit or incident forces the issue.

A gap is only useful when someone owns the next action. RegRails.ai moves identified findings into a structured Gap / Risk Register so teams can prioritise, assign, monitor and resolve remediation, with category, priority, status, ownership and due-date fields.
Replace disconnected remediation spreadsheets with a compliance risk register linked directly to the obligations and policy gaps that created the action.

Give compliance leaders a consolidated view of work in progress, the gaps requiring attention and where exposure is concentrated. The dashboard brings together documents, obligations, internal execution policy, compliance score, obligations by category, recent activity and regulatory announcements, with a risk heatmap view for exposure.

Move from working-level analysis to structured reports for senior management, boards, compliance committees and audit preparation. Current report types include Compliance Committee Report, Board Compliance Pack and Audit Preparation Pack, viewable and downloadable from the reporting workspace.
Generate board compliance reporting and audit-ready compliance reports from the same workflow used to extract obligations, analyse policy gaps and track remediation.

Understand how the institution performs across key compliance, risk and governance dimensions, then focus improvement where it matters most. The maturity assessment includes an overall score and stage, an AI-generated summary, a dimension radar, individual dimension scores and prioritised improvement recommendations.
Use RegRails.ai for compliance maturity assessment, AI governance readiness and third-party risk readiness without separating the assessment from the underlying obligations, policies and gaps.

Keep a clear line from the source instrument and its version, through the extracted obligation, to your policy rules, findings, remediation actions, assessments and reports. Audit Trail and User Activity records support traceability and oversight across the workflow, and every gap analysis records the library versions it ran against so a past report can be reproduced exactly.

RegRails.ai connects the steps that are often scattered across documents, spreadsheets, emails and manually prepared reports - starting from obligations that are already maintained for your licence, so the same work produces structured requirements, identified gaps, owned remediation and management-ready reporting.
RegRails.ai is designed for firms that face serious compliance expectations but do not want the cost and implementation burden of a heavy enterprise platform. The maintained library is live today for MAS-licensed fund managers; firms in other jurisdictions upload their own obligations and use every other part of the platform the same way.
RegRails.ai uses AI to assist with extraction, mapping, analysis, recommendations and report generation. Every obligation in the maintained library is reviewed and approved before it goes live, and compliance professionals remain responsible for reviewing outputs, applying judgement, confirming applicability and approving final conclusions.
Question your own compliance data in plain English — obligations, gaps, remediation status and reports — and get direct answers grounded in your records. Like every AI-assisted output on RegRails.ai, answers are a starting point for review, not a substitute for professional judgement.