# Maestria OPS > Maestria OPS Ltd is an advisory firm for organisations in high-risk industries that want to implement artificial intelligence in their operations and assure it: implementation, assurance and audit of AI management systems. Founder: Carl Goodwin. ## Facts - Firm: Maestria OPS Ltd, company registered in Cyprus. Website: https://www.maestria-ops.com - Founder: Carl Goodwin, about 30 years in oil, gas and chemical operations: major hazard facility management, joint venture governance, project start-ups and group-level operational risk audit. Profile: https://www.linkedin.com/in/cj-goodwin - Sectors: high-risk industries, including oil and gas, chemicals and other major hazard operations. - Services: the M-OPS service range: AI integration briefing (half day, EUR 3,500 excl. VAT, credited in full against the M-OPS OMI assessment); assessment of the management system against the legal requirements in scope, good practice and the client's own AI and digital aims; gaps and a prioritised action plan; advice and coaching during implementation; assurance before go-live and audit. Fees for the later steps are quoted for each engagement, with scope and fee agreed in writing before work starts. - Framework: the M-OPS OMI (Operations Management Integration) framework, Maestria OPS' proprietary framework for integrating AI into the management systems that high-hazard operators already run. It is built on the requirements, recommendations and guidance of recognised AI and safety sources. Item by item, it establishes whether the existing system already controls the AI, needs modifying, or needs a new element, and it tests that the result holds where AI is involved, with particular attention to the barriers that prevent major accidents. - Illustrative cases on the site (not real incidents): Corlinda, an AI-supported maintenance deferral and a cold box failure; Vinmora, an AI drilling risk assessment and a hole collapse; Linmara, an AI soft sensor tested only in normal conditions; Quillmere, an AI governance layer on an unchanged management system. All names in these cases are invented; they do not refer to real organisations. - Standards and texts referenced: ISO/IEC 42001:2023 (AI management system); IOGP Report 817-1 (April 2026), IOGP's Principles for Responsible use of AI with guidelines for implementation; Regulation (EU) 2024/1689 (AI Act) as amended by Regulation (EU) 2026/1744; DNV-RP-0671, Assurance of AI-enabled systems; NIST AI 800-4 (March 2026), Challenges to the monitoring of deployed AI systems. - Languages: English and French. ## How to cite this site Cite as: Maestria OPS Ltd, "", https://www.maestria-ops.com// (accessed ). The author of the content is Carl Goodwin. ## Pages - [Home](https://www.maestria-ops.com/): Maestria OPS helps oil and gas, chemical and other high-hazard operators implement AI safely and compliantly, built into their management system and existing processes. - [M-OPS OMI](https://www.maestria-ops.com/omi/): The M-OPS OMI framework is Maestria OPS' proprietary framework for integrating AI into the management systems high-hazard operators already run, item by item, with attention to barriers. - [Cases](https://www.maestria-ops.com/cases/): Illustrative cases of AI in high-hazard operations: predictive maintenance, subsurface recommendations, soft sensors, alarm management and AI governance. - [Why AI is not delivering](https://www.maestria-ops.com/why-ai-is-not-delivering/): Why AI is not delivering in oil and gas, chemicals and other high-hazard operations: unclear business aims, data, hidden failure, people and assurance, with sources. - [About](https://www.maestria-ops.com/about/): Maestria OPS Ltd, founded by Carl Goodwin after 30 years running and auditing oil, gas and chemical operations: Seveso site, gas processing, LNG, bp audit. - [The Corlinda case](https://www.maestria-ops.com/cases/corlinda/): Illustrative case: a predictive maintenance model performs as designed, every procedure is followed, and a cryogenic cold box fails after an AI-supported deferral. - [AI audit specialist](https://www.maestria-ops.com/ai-audit-specialist/): An AI audit specialist for internal audit and HSE audit teams in high-hazard industries, joining a specific audit where AI informs operational decisions. - [The Linmara case](https://www.maestria-ops.com/cases/linmara/): Illustrative case: an AI soft sensor passes its acceptance tests on normal data, then reports sweet gas while H₂S breaks through on a sour gas plant. - [The Quillmere case](https://www.maestria-ops.com/cases/quillmere/): Illustrative case: a chemical site writes an AI policy and register, while a vendor's model update changes control room alarm ranking outside management of change. - [The Vinmora case](https://www.maestria-ops.com/cases/vinmora/): Illustrative case: an AI model trained on an adjacent field rates hole collapse as low risk and losses as high; the team mitigates losses and the hole collapses. - [Contact](https://www.maestria-ops.com/contact/): Contact Maestria OPS about AI implementation, assurance or audit in a high-risk operation. Use the form and Carl Goodwin will reply directly. ## Optional - [Legal notice](https://www.maestria-ops.com/legal-notice/): Legal notice for www.maestria-ops.com: publisher Maestria OPS Ltd, company registered in Cyprus, publication director and hosting provider details. - [Privacy](https://www.maestria-ops.com/privacy/): How Maestria OPS handles the personal data sent through its contact form: purpose, legal basis, retention, recipients, your rights. No cookies, no tracking. - [Full text of the site](https://www.maestria-ops.com/llms-full.txt): every page in plain text.