R2Compliance Data Services

For compliance and risk teams at banks and heavily regulated industries

Your taxonomy was built for people.
R2 prepares it for AI.

Your GRC platform records what your team needs to manage risk. It doesn’t specify what AI needs to decide applicability. R2 updates the mappings you already have and provides a regulatory library to match, so AI can triage applicability and gaps at scale.

MappingHow a regulatory mapping works

Mappings

Organized by internal categories

What banks track today

  • Risk ratings
  • Control owner
  • Policy status
  • Impacted LOBs
  • Mapping notes

Not consistently captured

  • Definitions
  • Who must act
  • What they must do
  • Conditions
  • Verified source links
  • and more

Regulatory requirements

Needs

  • Citations
  • Obligations
  • Summaries

Internal compliance processes and documents

Linked by hand

  • Policies
  • Procedures
  • Controls
  • Tests

Links are maintained by hand. AI has to guess what each category means and why each link exists.

01 — The problem with your data

When AI uses your taxonomy, does it increase or decrease errors?

What guessing looks like

A consumer credit rule was filed under Governance.

Obligation

An MCD article 3(1)(b) creditor must comply with CONC 6.7 (post contract: business practices).

UKFCA HandbookCONC 1.2.8(2)

Linked by Topic, Jurisdiction and Description

Existing taxonomy

AI justification

The obligation requires compliance with CONC 6.7, which is a specific rule within the FCA Handbook. This topic covers ongoing regulatory obligations under the FCA Handbook for regulated firms.

Without R2’s extended taxonomy

What went wrong

All three fields fit loosely: a broad Topic (Governance), the right Jurisdiction (UK) and a Description that covers any FCA rule. None of them ruled out a consumer credit rule on post-contract practices.

What the data didn’t say

What Governance excludes. No field sets a scope, so the Description matches any FCA rule.

In each case, the taxonomy led the AI to a wrong answer.

02 — The problem with regulatory data

Can AI read regulatory structure correctly?

QuebecPrivacy act P-39.1p. 9

Structural issue

The page carries a second, invisible copy of the citation text.

What breaks

The citation is corrupted: s. 110 becomes s. 1101.

Expected structure

  • 2021, c. 25
  • s. 110

Extracted structure

  • 2021, c. 25
  • s. 1101Corrupted citation

03 — How R2 works

R2 extends and validates your data so AI can help scale your compliance process.

  1. 01

    Extended taxonomy

    R2 builds a new dataset from your existing taxonomy. It transforms each mapping and extends it with the structure and data a large language model needs, checked against the source.

    • Each category carries the scope, inclusions, exclusions, and contrasts AI needs.

    What R2 adds to each mapping

    • Who must act
    • What they must do
    • Conditions
    • Link to your topic ID
    • and more

    Like your existing taxonomy, the AI mappings have to align with the way your company perceives its risk.

  2. 02

    Regulatory library

    R2 turns each source into structured requirements with precise citations.

    • Each obligation extracted from the source text, with its citation.
    • One consistent structure, with citations at any level of detail, linked to the text.

03, enabled by parts 01 and 02

Applicability and gap analysis

Your taxonomy, the extended taxonomy and a detailed regulatory library work together, so AI can assess applicability and find applicable obligations with no mapping, at scale. Every recommendation, including those on new and changed rules, has a clear justification tied to an obligation and grounded in your taxonomy.

Your team adds judgment.
AI adds scale.

Your experts keep responsibility for interpretation and approval.

Start with an assessment

Is your taxonomy ready for AI?

Choose the sources or jurisdictions you want to test. For those, R2 builds the extended taxonomy and the regulatory library, and runs the applicability and gap analysis.

Delivered as a dataset you can load into your existing GRC platform, for your team to maintain.

What you receive

  • Extended taxonomy
  • Regulatory library
  • Applicability and gap analysis

Start with an assessment

Connect with Sales

Tell us about your taxonomy and the workflow you want AI to support. We’ll show you where AI would have to guess, and what to enhance first.

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