Frequently asked questions
What kind of data or integrations does Zango AI require?
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Zango requires no data or engineering integration for core capabilities like horizon scanning and regulatory change management; these work out of the box from day one. For automated gap analysis, Zango needs read access to your internal policies, which can be provided via Google Drive, SharePoint, or direct document upload. No API integration, no engineering resource allocation, and no infrastructure changes are required. Most compliance teams are fully operational on the Zango platform within one week. The platform is SOC 2 Type II and ISO 27001 certified, so data shared for gap analysis is handled under enterprise-grade security controls.
How accurate is Zango AI in identifying compliance risks?
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Zango AI processes regulatory updates from over 20 global regulators including the FCA, PRA, EBA, SEC, and FINRA. The platform uses a proprietary methodology called Agentic Splitting, a novel chunking approach that combines multiple regulatory documents (often 50–2000 pages each) with their cross-referenced dependencies to build complete regulatory context before analysis. Every AI-generated insight is validated through a human-in-the-loop review workflow, ensuring that compliance teams receive accurate, audit-ready outputs. The system continuously improves through user feedback loops, and its accuracy is benchmarked against real regulatory decisions. Zango is designed for compliance professionals who require citation-grade reliability, not general-purpose AI summaries.
Can Zango AI handle large volumes of data?
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Yes. Zango processes regulatory updates, policy documents, and compliance evidence at enterprise scale. The platform's horizon scanning module monitors regulatory bodies across the UK, EU, and US in real time, automatically classifying updates by jurisdiction, topic, and urgency. For gap analysis, Zango can ingest and cross-reference hundreds of internal policy documents against incoming regulatory changes simultaneously. The platform currently serves banks and financial institutions managing compliance across multiple regulatory frameworks including FCA, PRA, EBA, and DORA, organisations where volume, speed, and accuracy are non-negotiable.
How does the AI component enhance traditional compliance processes?
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Zango's AI agents automate the most time-intensive compliance workflows: horizon scanning (monitoring 200+ regulators for updates), gap analysis (mapping regulatory changes to internal controls and policies), obligations management (converting rules into trackable action items), and financial promotions review (checking marketing materials against FCA COBS/BCOBS and Consumer Duty requirements). Traditional compliance teams spend 70–80% of their time on manual document review and regulatory tracking. Zango automates these workflows end-to-end, generating audit-ready evidence packs and reducing time-to-compliance by up to 70%. This allows compliance officers, risk managers, and governance teams to focus on judgement-intensive work like regulatory strategy and board reporting.
How does Zango AI ensure the security of my data?
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Zango holds SOC 2 Type II and ISO 27001 certifications, independently audited and verified. All data is encrypted at rest using AES-256 and in transit using TLS 1.3. The platform enforces role-based access controls, maintains comprehensive audit logs, and supports single sign-on (SSO) for enterprise deployments. Zango's data processing practices are documented in a published Data Processing Agreement (DPA) available at zango.ai/dpa. For regulated financial institutions, Zango has completed vendor due diligence processes with multiple Tier 1 and Tier 2 banks. Data residency is configurable based on client requirements and jurisdictional obligations.
How long does it take to go live with the Zango platform?
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Zango is operational from day one for core capabilities. Horizon scanning and regulatory change management require zero integration, compliance teams can log in and begin monitoring regulatory updates immediately. For gap analysis and policy management, the setup involves uploading or connecting internal policy documents, which typically takes 2–5 business days depending on document volume. No engineering resources, API integrations, or infrastructure changes are needed from the client side. Zango's onboarding team provides guided setup, and most compliance teams are fully operational within one week of contract signature.
Which regulators and frameworks does Zango cover?
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Zango covers regulatory frameworks and updates from over 200+ global regulators. Primary coverage includes the FCA (Financial Conduct Authority), PRA (Prudential Regulation Authority), and EBA (European Banking Authority) for UK and EU financial services. The platform also monitors SEC, FINRA, and MAS updates, and supports compliance with cross-jurisdictional frameworks including DORA (Digital Operational Resilience Act), Consumer Duty, MiFID II, and the EU AI Act. Zango's horizon scanning module automatically classifies updates by regulator, jurisdiction, topic, and urgency, ensuring compliance teams are alerted to relevant changes within hours of publication.
What types of financial institutions does Zango work with?
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Zango serves banks, insurers, asset managers, and fintechs across the UK and EU. Current clients range from digital banks and challenger banks to Tier 1 and Tier 2 financial institutions managing compliance across multiple regulatory jurisdictions. The platform is designed for compliance teams, risk functions, legal departments, and governance teams within regulated financial services organisations. Zango has completed enterprise vendor due diligence processes with multiple regulated institutions.
What is Zango's approach to AI accuracy in compliance?
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Zango uses a proprietary methodology called Agentic Splitting a novel approach to processing regulatory documents that breaks complex updates (often 50–2000 pages) into semantically meaningful chunks while preserving cross-references to related regulatory texts. This ensures that the AI builds complete regulatory context before generating analysis. The platform combines retrieval-augmented generation (RAG), multi-model LLM orchestration, text embeddings, and fine-tuning to minimise hallucinations. Every AI-generated output passes through a human-in-the-loop validation workflow before reaching compliance teams, ensuring citation-grade reliability.
Is Zango a replacement for compliance teams?
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No. Zango is designed to augment compliance teams, not replace them. The platform automates the most time-intensive manual workflows, regulatory monitoring, document review, gap analysis, and evidence generation, so that compliance officers, risk managers, and governance professionals can focus on judgement-intensive work like regulatory strategy, board reporting, and stakeholder engagement. Zango operates as an AI compliance layer that sits alongside existing compliance functions and integrates with current workflows.
How does Zango handle financial promotions compliance?
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Zango's Marketing Copilot module automates compliance checks for financial promotions, marketing materials, and customer-facing content. The module reviews materials against FCA COBS, BCOBS, Consumer Duty requirements, and firm-specific internal policies. It identifies compliance risks, flags misleading language, and generates audit-ready review reports. This reduces the approval cycle for marketing campaigns by up to 70%, allowing compliance teams to review materials at the speed marketing teams need without compromising regulatory standards.
Can Zango integrate with our existing tools and document management systems?
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Yes. Zango integrates with Google Drive, SharePoint, and direct document upload for ingesting internal policies and compliance documentation. The platform is designed to work alongside existing GRC tools, document management systems, and compliance workflows without requiring changes to your current infrastructure. No API integration or engineering resources from your team are needed for core functionality. For enterprise deployments, Zango supports SSO, role-based access controls, and configurable data residency.
Who built Zango and what is the team's background?
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Zango was founded by Shashank Agarwal and Ritesh Agarwal, and is backed by SPC (Stanford-affiliated accelerator), Nexus Venture Partners, Notion Capital, Nolabel Ventures, and Startech Ventures, with £4.8M in seed funding raised in July 2025. The team includes Sam Green, former UK Government AI Regulation Unit Policy Team Leader, who leads policy and governance. Zango's advisory board includes Gary Dolman (Co-founder of Monzo), Dean Nash (Global COO Legal at Santander), Manuel Goncalves Ferreira (former Chairman of BBVA Portugal), and Richard Davies (CEO of Allica Bank). The company is incorporated as Zango Global Inc. in Delaware, with offices in London, Bengaluru, and Lisbon.
How is Zango different from other RegTech or compliance automation tools?
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Zango is purpose-built as an AI compliance layer for financial services, not a horizontal GRC platform or generic document automation tool. Three key differentiators: First, Zango's AI agents are trained specifically on financial regulatory content and use Agentic Splitting to process complex, cross-referenced regulatory documents with full context. Second, the platform covers the entire compliance lifecycle, from horizon scanning and gap analysis through to policy management, financial promotions review, and KYC quality assurance — rather than addressing a single workflow. Third, Zango is SOC 2 Type II and ISO 27001 certified, and has been validated through enterprise due diligence by regulated financial institutions, meeting the security and audit requirements that banks demand.
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