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The Challenge
The architecture team reads the regulation, traces obligation by obligation through the capability map, builds a spreadsheet, holds review meetings, and produces a report. The process is thorough. It consumes two to four weeks of senior architect time. When the next regulation arrives, the process starts over from the same blank spreadsheet.
The mapping comes out of the EA model but does not live in it. It lives in a spreadsheet maintained separately from the repository. When the architecture changes, the EA model is updated. The spreadsheet is not. By audit time, the coverage report reflects the architecture as it existed when the mapping was produced, not as it exists when the auditor asks the question.
Regulatory amendments invalidate the prior mapping. The architecture team retrieves the spreadsheet, reads the revised articles, determines which obligations changed, and updates the document. The prior mapping does not carry forward because it was never in the model. Each amendment is a partial rebuild.
When you use AI Augmented Architecture for Regulatory Compliance Mapping
Obligations are extracted from the regulation's source text with article and paragraph citations, not from compliance team summaries.
Claude proposes which capabilities and applications in the existing repository each obligation likely covers, with the rationale shown.
Your architects adjudicate every mapping: accept, reject, or modify. No mapping is persisted without architect review.
Accepted mappings are created as RegulatoryReference elements with source citation, URL, and sync timestamp, linked to capabilities and applications by typed connectors in the model. The affected packages are baselined so the persistence is governance-reviewable.
The coverage report is generated from the EA model: every obligation, every mapped element, every gap, in a form suitable for executive review and audit defense.
When the regulation changes, only the changed obligations are flagged for re-adjudication. The full mapping is not rebuilt from scratch.
AI POWER TOOLS FOR ENTERPRISE ARCHITECT
86 tools. Full read/write access to your Sparx EA model. Seven-day free trial. No credit card required to start.
HOW TO GET STARTED
Understand your starting point
Get AI Power Tools for EA running
Build the habit across your team
FREQUENTLY ASKED QUESTIONS
GRC platforms track compliance controls, manage findings, and support audit workflow. AI Power Tools for EA maps regulatory obligations to the architectural layer underneath the controls: the specific capabilities and applications in the EA model each obligation covers, with citations back to the source text. The two work together. Your compliance team keeps the GRC tool. Your architecture team maintains the EA model. The mapping engagement produces the architectural evidence that both reference.
No. AI Power Tools for EA proposes which capabilities and applications in the EA model each obligation likely covers and shows the reasoning. An architect reviews and adjudicates every proposed mapping. No mapping is persisted without architect approval. Compliance determination, whether an obligation is met, is a legal call made by your compliance team and legal counsel, not by the AI. The product gives legal and compliance the architecture evidence base they need to make that determination.
Any regulation available in text form. The workflow applies to DORA, HIPAA Security Rule, SOC 2 Trust Services Criteria, state-specific data privacy laws, and similar structured regulatory frameworks. The obligation parsing and mapping process is the same regardless of the specific regulation.
A reasonably current application portfolio and business capability model at minimum with descriptions. Tagged values for ownership, lifecycle, and criticality improve the quality of proposed mappings. Sparx Services assesses repository readiness at the start of the engagement and identifies any gaps before the mapping begins. An incomplete repository produces an incomplete mapping and surfaces the gaps explicitly, which is more useful than a spreadsheet where gaps are invisible.
AI Power Tools for EA re-parses the updated regulation text, compares the new obligation set to the existing mappings in the EA model, and surfaces the obligations that changed, were added, or were removed. Changed obligations are flagged for re-adjudication. Unchanged obligations remain in the model. The coverage report is regenerated from the updated model. The mapping is updated, not rebuilt.
The right conversation is about which regulation is on your calendar and whether the Sparx EA repository is ready to support the mapping. That is what the discovery call covers.
Schedule a Discovery Call