Claims Everywhere
Fund factsheets, websites, KIDs, SFDR templates — unversioned, unlinked, and ungoverned across every channel.
Dollarbaz is an AI-native Fintech Trust & Risk Engine — one platform that governs financial claims, routes risk decisions, and builds evidence-grade audit trails. Across compliance, treasury, and beyond.
Used by compliance teams at leading EU/UK asset managers · Partner-powered · Not legal advice
Asset managers say things about their funds — in factsheets, websites, pitch decks, SFDR templates. Those statements are legally consequential. The machinery linking what you say to what you can prove is manual, fragile, and expensive when regulators come knocking.
Fund factsheets, websites, KIDs, SFDR templates — unversioned, unlinked, and ungoverned across every channel.
Methodologies, screening thresholds, and holdings checks scattered across SharePoint, email, and vendor portals.
Compliance sign-offs happen via Teams chats — no structured record, no version history, no SLA enforcement.
Supervisory requests trigger weeks of scrambling. The cost of a badly evidenced claim just became real.
Dollarbaz is a modular intelligence platform. Start with the module that solves your most acute problem. Each module feeds into the same core — a single, governed source of truth for financial decisions.
Governance for financial claims. Extract → classify → score → approve → audit. Converts fund sustainability disclosures and marketing statements into evidence-linked, approval-governed records. SFDR 2.0 and FCA anti-greenwashing ready.
Explore this moduleIntelligent multi-rail cash routing with risk scoring at every decision point. Connects banks, payment rails, and liquidity pools under one governed intelligence layer.
Coming Q4 2026Continuous monitoring across portfolios, counterparties, and transactions. AI-flagged anomalies, human-reviewed decisions, and full audit accountability.
Coming 2027The unified AI brain for the modern financial institution — trading, payments, compliance, treasury, and personal finance under one governed operating system.
Long-Term VisionPaste fund text, upload factsheet, or link to a live webpage. AI reads the document in full.
Extracts and classifies claims against a standardised taxonomy (CT/ET codes). Evidence checklist auto-generated per rule matrix.
Deterministic score and explainable flags per claim. No black box — humans see every reason behind every flag.
Named approver reviews via Teams integration. SLA tracked, version saved, decision recorded. Always human-in-control.
One-click supervisory pack: claim → evidence → decision trail. Timestamped, immutable, and supervisor-ready.
AI assists extraction and classification — all risk decisions are reviewed and approved by a named human. Dollarbaz is governance tooling, not legal advice.
From intake to audit export — one system of record for every claim your fund makes.
Portfolio overview — active claims, overdue reviews, and evidence completeness across all funds at a glance.
Per-claim risk breakdown — flags, taxonomy code, evidence gap analysis, and deterministic score from 0–100.
Linked evidence per claim — status, expiry, ownership, and refresh reminders. Never scramble for a file again.
SLA-tracked review tasks routed to named approvers via Teams. Full audit trail on every decision made.
One-click supervisory pack: claim → evidence → decision trail. Timestamped, immutable, and supervisor-ready.
Role-based access control, taxonomy configuration, evidence matrix rules, and an immutable change log.
Most tools give you data or reporting. Nobody governs the link between what you say and what you can prove. That gap is Dollarbaz’s entire reason to exist.
| Capability | Spreadsheets | Generic ESG Tools | Dollarbaz |
|---|---|---|---|
| Claims taxonomy + AI classification | ✕ | ∼ | ✓ |
| AI extraction from fund documents | ✕ | ✕ | ✓ |
| Evidence-to-claim linking | ∼ | ✕ | ✓ |
| Structured approval workflow + SLA | ✕ | ✕ | ✓ |
| Deterministic risk scoring + flags | ✕ | ∼ | ✓ |
| Supervisory-ready audit pack export | ✕ | ✕ | ✓ |
| SFDR 2.0 label-agnostic design | ✕ | ∼ | ✓ |
| Enterprise RBAC + immutable logs | ✕ | ∼ | ✓ |
SFDR 2.0 (proposed Nov 2025) moves to a stricter labelling regime with minimum sustainability thresholds and enhanced enforcement. The FCA anti-greenwashing rule is already live. Implementation is 2027+ — but preparation starts today. Dollarbaz is designed for exactly this window.
€5B+
ESG/Reporting software market by 2033
21%
CAGR — RegTech market 2025–2033
2027
SFDR 2.0 implementation target — prep begins now
Live
FCA UK anti-greenwashing rule — effective now
Concierge pilot with 1–3 funds. You walk away with measurable KPIs: evidence completeness rate, review cycle time, rework reduction — and a defensible audit pack.
Fixed-fee. 1–3 funds. Concierge onboarding. Measurable KPIs. Converts to an annual subscription on completion.
Scales by fund count and seat allocation. Add-ons available for advanced taxonomy modules and API access.
API-first integration for platforms, distributors, and custodians embedding governance into existing workflows.
Dollarbaz is governance tooling — not legal or regulatory advice. All AI outputs are human-reviewed before any compliance decision.