Featured case · GRC · Regulatory technology
Regulation, made machine-readable.Delivered in 60 days.
Virtual Officer embeds compliance intelligence into enterprise operations. Grand Thera deployed its decision-grade AI stack inside their platform: thousands of evolving rules became one structured layer powering real-time gap analysis.
- Client
- Virtual Officer
- Sector
- GRC · Regulatory technology
- Delivery
- 60 days
- Disruption to clients
- Zero
- Days to deliver the compliance engine
- 0
- Regulatory rules in a machine-readable layer
- 0+
- Estimated reduction in manual compliance processing
- 0%
- Operational disruption during integration
- 0
Results as published by Grand Thera.
Challenge, deployment and results
- The challenge01
Regulation was slowing innovation.
- Thousands of evolving rules managed in spreadsheets
- Legal clauses hard to standardize
- Fragmented data models limiting automation
- Native integration required without disrupting existing clients
- The deployment02
TheraOS and specialized AITs, embedded in the product.
- Regulatory frameworks consolidated into standardized, parameterized components
- A single source of truth for rule interpretation
- Regulatory logic translated into machine-readable models
- Dynamic gap analysis across industries and jurisdictions
- Automated control mapping and diagnostics
- The results03
From rule documentation to compliance intelligence.
- Compliance engine delivered in 60 days
- 1,000+ regulatory rules in a unified, machine-readable layer
- Custom compliance analytics embedded in the platform
- Zero operational disruption; an estimated 60% less manual compliance processing
Step 1 · Interpret
A legal clause in.An enforceable rule out.
Specialized AITs translate multi-layered regulatory logic into parameterized components: obligation, subject, asset, control, evidence and review frequency. Choose a clause.
Regulatory clause
Controllers must adopt technical and administrative security measures able to protect personal data from unauthorized access and accidental or unlawful destruction.
Paraphrased examples · demonstration of the parsing pipeline.
Machine-readable rule
Parsing…Obligation
Adopt security measures
Subject
Data controller
Asset
Personal data
Control
Access control · Encryption · Backup
Evidence
Policy, access logs, encryption inventory
Frequency
Continuous · reviewed annually
{ "rule": "adopt_security_measures",
"controls": ["access_control", "encryption", "backup"],
"evidence_required": true, "review": "continuous" }Step 2 · Structure
Spreadsheets in.One source of truth out.
TheraOS consolidated fragmented regulatory frameworks into standardized components: a single source of truth able to support scalable rule interpretation.
One machine-readable layer
1,000+ rules from spreadsheets into parameterized components, grouped by framework.
- Structured rule
- Mapped to a control
- Gap detected
Step 3 · Act
Gap analysis, in real time.Across industries and jurisdictions.
Control mapping and compliance diagnostics run automatically and stay current as regulations evolve, inside Virtual Officer's own platform.
Dynamic gap analysis · demonstration data
| Framework | Access | Encryption | Incident | Vendors | Governance | Logging |
|---|---|---|---|---|---|---|
| LGPD | Covered | Covered | Partial | Covered | Covered | Gap |
| ISO 27001 | Covered | Partial | Covered | Gap | Covered | Covered |
| SOC 2 | Covered | Covered | Covered | Partial | Partial | Covered |
| PCI DSS | Partial | Covered | Gap | Covered | Covered | Covered |
| Cyber policy | Covered | Partial | Covered | Gap | Covered | Partial |
Gaps
—
Partial coverage
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Next action
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“Regulatory complexity was slowing innovation. Grand Thera transformed it into structured, embedded intelligence within our platform.”
