For compliance and risk teams at banks and heavily regulated industries
Your taxonomy was built for people.
R2 makes it work for AI.
Your GRC platform is often the system of record for how your internal taxonomy maps to external regulations. This works for manual review by your domain experts, but not for AI to assess applicability and find gaps accurately. R2 builds an extended taxonomy from the mappings you already have, plus a regulatory library to match, and provides the software that lets AI use them to triage applicability and gaps at scale.
MappingHow a regulatory mapping works
Mappings
Organized by internal categories
What your GRC platform records
- Risk ratings
- Control owner
- Policy status
- Impacted LOBs
- Mapping notes
Not consistently captured
- Who must act
- What they must do
- Conditions
- Verified source links
- and more
Regulatory requirements
Not consistently capturedR2 regulatory library
- Citations
- Citation text
- Links to source
- and more
Applicability, gap analysis and change management
Done by handR2 delivers
- Recommendations
- Obligations
- Justifications
- Links to existing taxonomy
- and more
Links are maintained by hand. AI has to guess what each category means and why each link exists.
How R2 enhances
- Extended taxonomy
- Regulatory library
R2’s software lets AI triage applicability and gaps at scale.
01 — The problem with your data
Why does your current taxonomy make AI guess wrong?
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
Why does AI read regulatory text wrong?
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
When AI reads the structure wrong, everything downstream breaks.
Each source document has its own quirks: hidden text, rules laid out as tables, labels that change meaning from one rule to the next. They trip up people as well as AI. Getting them right takes a process, not just code.
03 — How R2 works
R2 extends and validates your data so AI can help scale your compliance process.
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
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.
What R2 records for each requirement
- Citations
- Citation text
- Links to source
- and more
03, enabled by parts 01 and 02
AI you can rely on, at scale
Your taxonomy, the extended taxonomy and a detailed regulatory library work together in R2’s software, so AI can assess applicability, find gaps and triage regulatory changes at scale. Every recommendation, including those on new and changed rules, has a clear justification tied to an obligation and grounded in your taxonomy.
What the analysis delivers
- Recommendations
- Obligations
- Justifications
- Links to existing taxonomy
- and more
Your team adds judgment.
AI adds scale.
Your experts keep responsibility for interpretation and approval.
Start with an assessment
Is your compliance program ready for AI?
Choose the sources or jurisdictions you want to test. For those, R2 builds the extended taxonomy and the regulatory library, and delivers applicability, gap analysis and change management.
Delivered as a dataset you can load into your existing GRC platform, for your team to maintain. R2’s software runs in the cloud or on premises.
What you receive
- Extended taxonomy
- Regulatory library
- Applicability, gap analysis and change management