Core Platform
AI & Automation
AI proposes. Humans confirm. System records both. The foundational principle embedded into every module, every workflow, every decision on SustainGRC.
Not a bolt-on copilot. Not a chatbot overlay. AI is woven into the platform's data model — computing scores, generating findings, detecting gaps, and forecasting risk. Always transparent. Always overridable. Always audit-logged.
The Three-Phase AI Governance Loop
Every AI-assisted workflow on the platform follows this pattern. No exceptions. No shortcuts.
AI Proposes
Build a living map of your entire supply network. Auto-classify suppliers by tier, criticality, spend, and geography — then overlay ESG risk signals from across the platform.
- Regulatory Intelligence
Scans 5 modules to compute readiness % per regulation
Findings auto-generated: missing · partial · misaligned · outdated · configured
- AI Governance
Risk-tiers AI systems using transparent rule-based scoring
35% use-case domain, 25% data sensitivity, 20% decision autonomy, 20% scale of impact
- Data Quality
Scores every metric on two axes (Emissions DQ × Denominator DQ)
PCAF v2.0 aligned, weakest-link logic, per-holding decomposition
- Third-Party Intelligence
Forecasts 6–12 month risk trajectory across supplier portfolio
Key drivers identified and ranked by impact
Agentic Capabilities
Autonomous agents that run continuously across your data estate — each one specialised, all of them governed by the same three-phase loop.
InsightLens
Natural language queries across all platform data. Ask 'What are my GCC compliance gaps?' — get answers grounded in your metrics with source citations.
Anomaly Detection
Statistical agents identify outliers, sudden shifts, and unit mismatches across your metric estate. Alerts before errors propagate to disclosures.
Gap Detection
Agents scan data sources against active frameworks, flagging missing metrics, stale records, and coverage blind spots. Auto-assigns remediation tasks.
Risk Forecasting
Trajectory scoring across enterprise risk, supply chain, and third-party portfolios. 6-to-12-month forecasts with confidence levels and key drivers.
Framework Mapping
AI maps your data against 8+ frameworks simultaneously — GCC, GRI, ISSB, TCFD, SASB, CSRD, UNGC, TNFD. Collect once, report many.
Compliance Scanning
Regulatory Intelligence agents inspect 8 platform modules to compute readiness per regulation. Findings generated automatically, overrides logged.
Trust Architecture
Enterprise AI in governance demands more than accuracy - it demands defensibility. Every design decision prioritises auditability.
No Black-Box Calculations
Every AI-computed score displays its formula, input values, and which regulation or methodology drove the result. Auditors can reconstruct any number independently.
Separation of Duties
No user creates and approves. Role-based permissions enforce four-eye principles across all state transitions. Time-bound evaluation periods with hard locks.
Evidence-Linked Decisions
Every score and decision links to its evidence. Evidence carries verification status: PENDING - VERIFIED - REJECTED. No floating assertions.
Immutable State Machine
All entities follow DRAFT - IN_REVIEW - APPROVED - LOCKED. LOCKED records cannot be modified. Override history preserved permanently.
AI Transparency Log
Computed CSRD readiness: 68%
Generated 4 findings for ESG Reporting module
Anomaly detected: Scope 1 emissions 1340% QoQ
Override finding F-2026-041 - Not Applicable
Reason: Addressed via external audit
Supplier risk trajectory: 58 - 64 (6-mo forecast)
4 recommendations generated, routed to Risk team
Approved assessment ASS-2026-012- LOCKED
Reason: Reviewed with audit partner
Append-only - Immutable - 7-year retention
Not Another AI Copilot
Bolt-on AI Chatbots
Trained on public internet data
No source attribution or citations
Hallucination risk on every query
No audit trail of AI interactions
Same answer for every customer
Can't override or challenge AI output
SustainGRC AI Engine
Queries YOUR governed data
Every claim cites specific records
Retrieval-only—no invented facts
Scoped by framework, period, domain
RBAC enforced responses