Sources, References and Trademark Notice

Selected sources

This document references third-party research, regulatory frameworks and standards in good faith and for descriptive purposes only. Quantitative claims are drawn from the sources listed below.

GenAI economic potential

McKinsey Global Institute — “The economic potential of generative AI: The next productivity frontier” (June 2023).

Cybersecurity cost benchmark

IBM Security and Ponemon Institute — “Cost of a Data Breach Report 2024” (July 2024).

Maritime trade share

UNCTAD — “Review of Maritime Transport” (latest edition).

Global consulting market sizing

Fortune Business Insights — Management Consulting Services Market Report (2024); supplemented by IDC, Gartner, Statista and Mordor Intelligence industry tracking.

Customer Experience Management market sizing

Grand View Research — “Customer Experience Management Market Size, Share & Trends Analysis Report” (2025 edition). The cited USD 15.55 billion (2025) and USD 47.72 billion (2033) projection at 15.2% CAGR is the Grand View central estimate.

Enterprise agentic AI market sizing

Grand View Research — “Enterprise Agentic AI Market Report, 2030” (2025 edition): USD 2.58 billion (2024) → USD 24.50 billion (2030) at 46.2% CAGR. The directional consensus on 40%+ CAGR through 2030 is robust.

AI agent enterprise adoption signal

Capgemini Research Institute — survey research on AI agent deployment (cited in Fortune Business Insights 2025): 14% of organisations have deployed AI agents, 12% partially, 2% fully; 23% have launched pilot programs; 61% are actively exploring or preparing for deployment.

Indian MSME classification

Ministry of Micro, Small and Medium Enterprises (MoMSME), Government of India — Notification S.O. 1364(E) dated 21 March 2025, effective 1 April 2025. Revised thresholds announced in Union Budget 2025-26 (Finance Minister’s speech, 1 February 2025).

Group lineage and accreditations

Public disclosures of Indian Register of Shipping (ISSPL.org), ISSPL Systems and Solutions Pvt. Ltd. (ISSPL) and Indian Register Quality Systems (irqs.co.in).

Regulatory frameworks

IATF 16949; UN R155 / R156; IMO MSC.428; IACS UR E26 / E27; EU Battery Regulation 2023/1542; EU ETS-Maritime; CII / EEXI; GDPR; NIS2; DORA; HIPAA; HITRUST; DPDP; SAMA; NCA; NESA; MAS; LGPD; NIST CSF; MITRE ATT&CK — all referenced as published by their respective issuing authorities.

AI governance frameworks

EU AI Act (Regulation 2024/1689); NIST AI Risk Management Framework 1.0; ISO/IEC 42001:2023 (AI Management System); ISO/IEC 23894:2023 (AI Risk Management); GDPR Article 22 (automated decision-making).

Data protection and consent

India Digital Personal Data Protection Act 2023 (DPDP); EU GDPR; UK GDPR and Data Protection Act 2018; California CCPA / CPRA; Singapore PDPA; UAE Federal Decree-Law 45 of 2021; Saudi PDPL.

Sectoral AI guidance

RBI Working Group on AI in Financial Services; SAMA Cyber and AI framework; MAS FEAT Principles (Singapore); UK FCA AI sandbox guidance; US OCC and SEC AI guidance.

Channel and consent regulation

TRAI Telecom Commercial Communications Customer Preference Regulations (India); DoT Digital Public Infrastructure standards; FCC TCPA (US); CASL (Canada).

Trademark notice

All third-party company names, product names, platform names, logos and trademarks referenced in this document are the property of their respective owners and are used here for descriptive and illustrative purposes only. Reference to any third-party platform or technology in this document indicates that it forms part of the technology stack alticdigital may deploy in client engagements; it does not, by itself, constitute a claim of formal partnership, certification, reseller status or commercial alliance unless expressly stated otherwise in a separate published partnership announcement.

Forward-looking statements

Statements in this document that describe future capabilities, market opportunities or expected outcomes are forward-looking in nature. Actual results may differ. Quantitative benchmarks (such as productivity uplift ranges, scrap-reduction percentages, downtime-reduction estimates and handle-time savings) are indicative industry observations drawn from published analyst research and engagement experience and are not guarantees of outcomes in any specific client deployment.