ISO 42001 Canada: The AI Management System Standard for Canadian Organizations
Canada has no federal AI Act. Instead, organizations navigate PIPEDA, Quebec Law 25, OSFI E-23, Treasury Board ADM rules, Ontario guidance and the EU AI Act. ISO/IEC 42001 provides the only certifiable AI management system, helping meet overlapping governance and compliance requirements.
ISO/IEC 42001 is the world's first certifiable Artificial Intelligence Management System (AIMS) standard, and for Canadian organisations it is currently the most defensible answer to a regulatory landscape that has no federal AI statute in force. The proposed Artificial Intelligence and Data Act (AIDA) died on the order paper in January 2025 and has not been reintroduced. What Canadian providers, deployers and operators of AI now face instead is a patchwork — PIPEDA, Quebec's Law 25, OSFI Guideline E-23, the Treasury Board Directive on Automated Decision-Making, the Voluntary Code of Conduct on generative AI, Ontario's January 2026 six-principle guidance, and the extraterritorial reach of the EU AI Act — with no single reference document to point to when a client, auditor or board asks "how do you govern your AI?". ISO 42001 is the reference document that answers that question, in the language a certification auditor can test.
Key Takeaways
- Canada has no AI-specific statute in force. AIDA died at prorogation in January 2025. A successor is expected but has not been tabled, and the AI Minister has said it will not be an AIDA revival.
- The current regime is a patchwork. PIPEDA (federal privacy), Quebec Law 25 (automated-decision transparency), OSFI E-23 (model risk for federally regulated financial institutions), the Treasury Board Directive on Automated Decision-Making (federal government), and the September 2023 Voluntary Code on generative AI all apply — none of them is an AI Act.
- Ontario's January 2026 six-principle guidance is a preview. Jointly issued by the Information and Privacy Commissioner of Ontario and the Ontario Human Rights Commission, it names validity/reliability, safety, privacy protection, human-rights affirmation, transparency and accountability — the same concepts ISO 42001 makes auditable.
- The EU AI Act reaches Canadian firms. Any Canadian provider or deployer whose AI output is placed on the EU market falls under the Act, with high-risk obligations phasing in through 2 December 2027 (Annex III) and 2 August 2028 (Annex I), following the Omnibus VII deadline extensions.
- ISO 42001 is the audit anchor, not a compliance shortcut. Certification does not confer legal compliance with any Canadian or EU law — no ISO standard can — but it produces the governance and control base that overlaps with almost every proposed and in-force obligation Canadian operators face.
- reconn delivers PECB ISO 42001 Lead Implementer and Lead Auditor in Toronto in three formats: Self-Study, eLearning, and Live Online 1-to-1 mentorship with Shenoy Sandeep — plus a Lead Implementer + Lead Auditor Bundle for consultants and in-house AI governance leads who need both sides of the standard.
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Why ISO 42001 in Canada, right now
The Canadian AI governance conversation in 2026 is shaped by a single fact: the country's proposed AI statute failed. Bill C-27, which contained AIDA as Part 3, died on the order paper when Parliament was prorogued in January 2025 and has not been reintroduced. The Minister of Artificial Intelligence and Digital Innovation has signalled that any successor law will be a fresh design rather than a repackaged AIDA, and the February 2026 summary of the national AI strategy consultation points toward future rules on safety evaluation, adversarial testing, structured human oversight and traceability across the model lifecycle — but a Bill number is not yet on the Order Paper.
This does not mean Canadian AI operators are unregulated. It means the obligations are distributed across privacy law, sectoral guidance and voluntary frameworks — and no single one of those instruments answers the question "how do you govern the AI you build or deploy?" in a way that a customer, board, regulator or overseas partner can independently test. That is the gap ISO 42001 fills. It is not a replacement for AIDA, PIPEDA, Law 25 or OSFI E-23. It is the management-system layer that lets an organisation demonstrate — via an accredited third-party audit — that it has an AI Management System (AIMS) that identifies its AI systems, tiers them by risk and impact, applies proportionate controls, and reviews and improves the whole thing on a documented cycle.
The parallel pressure comes from outside Canada. The EU AI Act applies extraterritorially: any Canadian provider or deployer whose AI output is used in the EU market is in scope, and — following the Omnibus VII package adopted in May 2026 — the Annex III high-risk obligations now apply from 2 December 2027 and Annex I high-risk from 2 August 2028. For Canadian firms selling into Europe, the AI Act is functionally the AI law they will comply with first, regardless of what Ottawa eventually passes. ISO 42001 is designed to sit underneath both regimes.
The Canadian AI regulatory landscape
Eight instruments together define the current Canadian regulatory position. None is a horizontal AI Act. Each imposes obligations that ISO 42001 can operationalise in a single management system rather than eight parallel workstreams.
AIDA would have introduced a risk-based framework for "high-impact" AI systems with algorithmic impact assessments, mitigation duties, transparency obligations, and criminal penalties reaching CAD 25 million or 5% of global revenue. It also proposed a new AI and Data Commissioner role. The Bill died at prorogation in January 2025.
The practical consequence for Canadian operators is that AIDA's substantive concepts — risk tiers, impact assessments, documentation, mitigation, human oversight — remain the direction of travel and are the same concepts ISO 42001 makes auditable. Organisations building an AIMS to ISO 42001 today are positioning against the successor law without having to guess at its specific clauses.
The Personal Information Protection and Electronic Documents Act governs personal information used in commercial activity across Canada (outside jurisdictions with substantially similar provincial laws). It applies directly to the personal data ingested into training sets, prompts, and inference pipelines, and to the outputs of AI systems that identify or affect individuals.
Consent, purpose limitation, accountability and safeguards obligations under PIPEDA translate directly into ISO 42001 Annex A controls covering data governance, data quality, and AI system impact on individuals. The Office of the Privacy Commissioner of Canada has been active on generative AI, and PIPEDA enforcement is the most likely near-term source of a Canadian AI-related regulatory action.
Quebec's Act to modernize legislative provisions as regards the protection of personal information (Law 25) has been fully in force since September 2023 and imposes obligations that are more advanced than federal PIPEDA in one respect that matters directly for AI: automated decision-making. Organisations using AI to make decisions about individuals in Quebec must inform the individual, disclose the personal information used and the principal factors and parameters leading to the decision, and offer the individual an opportunity to make observations.
For any AI system that affects Quebec residents — hiring tools, credit scoring, insurance underwriting, benefits determination, content moderation with consequences — Law 25's ADM article is a live compliance obligation, enforced by the Commission d'accès à l'information. ISO 42001 Annex A controls on impact assessment, transparency to affected persons, and human oversight give an organisation the paperwork Law 25 will ask for.
The Office of the Superintendent of Financial Institutions issued Guideline E-23 on Model Risk Management, imposing binding expectations on federally regulated banks, insurers and pension plans covering model identification, tiering by materiality, development standards, validation, monitoring, and governance. E-23 is written in model-risk language, but AI/ML models fall squarely inside its scope.
For a Canadian bank or insurer, ISO 42001 does not replace E-23 — it complements it. E-23 sits at the model-level control layer; ISO 42001 sits at the management-system layer above it, connecting model risk to enterprise AI policy, roles, third-party AI use, and continual improvement. The two audit cleanly against each other.
The Directive on Automated Decision-Making, in force since 2019 and updated in 2023, requires federal departments and agencies to complete an Algorithmic Impact Assessment (AIA) before deploying any automated decision system and to implement controls proportionate to the resulting impact tier (I to IV). The AIA is publicly disclosed.
Vendors, consultants and contractors supplying AI to Government of Canada procurements are pulled into the Directive's requirements through the procurement contract. ISO 42001 provides the internal AIMS a supplier can point to when a federal buyer asks how it manages the AI system it is selling into government.
Launched by Innovation, Science and Economic Development Canada in September 2023, the Voluntary Code commits signatories — including Cohere, BlackBerry, OpenText and Telus among others — to six things: accountability, safety, fairness and equity, transparency, human oversight, and validity and robustness. It is non-binding, unaudited, and focused on advanced generative AI systems.
The Code's value is as a signal. Its six commitments are almost a one-to-one mapping onto ISO 42001 clauses and Annex A controls. An organisation that has implemented an ISO 42001 AIMS can demonstrate the Code's commitments in evidence, not just adopt them in policy.
In January 2026, the Information and Privacy Commissioner of Ontario and the Ontario Human Rights Commission jointly published guidance on the responsible use of AI in the public sector, structured around six principles: AI systems must be valid and reliable, safe, privacy-protective, human-rights affirming, transparent, and accountable. Although the guidance is aimed at Ontario public sector bodies, it is the clearest current articulation from a Canadian regulator of what "responsible AI" is going to be measured against.
Every one of the six principles maps to specific ISO 42001 requirements — validity/reliability to performance monitoring, safety and privacy to impact assessment and Annex A data controls, human-rights affirmation to the impact assessment on affected persons, transparency to documentation and disclosure controls, accountability to Clause 5 leadership and roles. An Ontario public body, or a vendor into one, that has built an ISO 42001 AIMS is aligned with the guidance by construction.
The EU AI Act applies to providers and deployers established outside the EU where the AI system's output is used in the Union. For Canadian firms selling AI-enabled products, services or model outputs into EU markets, the Act is a direct obligation — not a comparison point. Following the Omnibus VII package adopted in May 2026, Annex III high-risk obligations now apply from 2 December 2027 and Annex I high-risk from 2 August 2028; a ninth prohibited practice was added and SME exemptions extended.
ISO 42001 does not confer AI Act compliance — no ISO standard can. What it does is produce the governance and control base that overlaps with the AI Act's Article 9 risk management, Article 10 data governance, Article 12 record-keeping, Article 13 transparency, Article 14 human oversight and Article 17 quality management system obligations. For a Canadian exporter, ISO 42001 is the fastest available way to build the evidence base an EU notified body or market surveillance authority will ask for. See our ISO 42001 vs EU AI Act analysis for the mapping in detail.
Building an ISO 42001 AIMS for a Canadian operation? Talk to a practitioner first.
Whether you are a Toronto fintech responding to OSFI E-23, a Quebec deployer dealing with Law 25's ADM transparency article, or a Canadian exporter with EU AI Act obligations landing in 2027, the AIMS design choices differ. Book a 30-minute scoping call with Shenoy Sandeep — PECB-certified trainer, active ISO 42001 implementer — and get the shape of your programme mapped before you commit to a training format.
Why ISO 42001 is the better choice
Canadian AI governance leads face a real choice: ISO 42001, NIST AI RMF, a concept-only credential such as IAPP's AIGP, waiting for the AIDA successor, or "we already have controls". Only one of those produces an accredited third-party certificate an external stakeholder can independently verify. Here is how the options compare in the Canadian context.
The NIST AI Risk Management Framework is voluntary US federal guidance. It is well-designed, widely respected, and — critically for this comparison — not certifiable. There is no accredited body that issues a "NIST AI RMF certificate" against an organisation's implementation. The RMF gives structure to a conversation about AI risk; it does not give a Canadian operator a document to hand a customer, auditor or overseas partner that says "an independent third party has tested our AIMS".
ISO 42001 is certifiable, accreditation-backed, and internationally recognised. It is also structurally compatible with NIST AI RMF — organisations that have adopted the RMF map onto ISO 42001 without redesigning their programme. The best current answer for Canadian firms is to use the RMF as a design vocabulary and certify to ISO 42001 as the auditable evidence.
Individual credentials such as IAPP's AIGP, ISACA's AAIA and AAIM, and the (ISC)² AAISM are real and useful — they establish that a person has demonstrated knowledge of AI governance concepts. What they do not do is certify an organisation. There is no such thing as an "AIGP-certified company". No customer, auditor or regulator can ask to see the AIGP holder's implementation of an AI management system across the enterprise, because the credential does not measure that.
ISO 42001 works at the other end. It certifies the AIMS itself — the policies, roles, risk register, impact assessments, controls, monitoring and improvement cycles the organisation actually runs. For a Canadian CISO, DPO or Head of AI Governance, the practitioner-first sequence is to hold an ISO 42001 Lead Implementer or Lead Auditor credential and to certify the organisation's AIMS to ISO 42001. See our ISO 42001 vs AIGP analysis for how to sequence them.
The EU AI Act is a law. Canadian exporters into the EU comply with it or accept the consequences — there is no "certifying" against a law in the ISO sense. What Canadian operators need is a management system that produces the artefacts the Act's provider and deployer duties will demand: risk management files, data governance records, technical documentation, post-market monitoring, human oversight evidence, transparency notices. ISO 42001 produces those artefacts as its normal operating output.
The correct framing is: the AI Act is what a Canadian exporter answers to in the EU market; ISO 42001 is how the organisation manufactures the evidence it will need to answer with. Certification does not confer AI Act compliance. It shortens the distance to being ready for it.
"Let's wait until Ottawa passes the AI law" is a defensible strategic posture for one very narrow category of organisation: firms with no AI in production, no exposure to Quebec or Ontario, no financial regulator, no federal procurement, no EU customers. For everyone else, waiting has a cost — every month of unmanaged AI is a month of accumulating personal-data exposure under PIPEDA and Law 25, model-risk exposure under OSFI E-23, and regulatory-alignment exposure to whatever the successor law contains.
ISO 42001 is stable, internationally published, and directionally aligned with every serious AI regulatory concept in play in Canada. Building an AIMS to it now is not speculative — it is the least-regret option.
Six benefits for Canadian organisations
Certification is a means, not an end. The six benefits below are the ones that hold up under Canadian scrutiny — the ones a board, procurement lead, insurer or overseas partner will actually treat as evidence.
PIPEDA, Law 25, OSFI E-23, the Treasury Board Directive, the Voluntary Code, Ontario's guidance, the EU AI Act and the future AIDA successor each impose overlapping requirements on AI. Managing them as eight independent workstreams is how governance programmes fail. ISO 42001's management-system architecture — Clauses 4 through 10 — folds them into one system with one set of documented policies, roles, risk registers and reviews. The organisation still answers to each obligation. It runs one system to do so.
The current default for Canadian AI governance disclosure is a policy PDF signed by the CISO and a paragraph in the annual report. A customer, regulator or EU notified body cannot independently test that. An accredited ISO 42001 certificate is issued by a certification body that has itself been assessed by an accreditation body against ISO/IEC 17021-1. The chain of trust is external, verifiable, and internationally recognised — which is exactly what "how do you govern your AI?" asks for.
ISO 42001 Clause 5 requires top management to demonstrate leadership and commitment — assigned roles, an AI policy signed off at the executive level, resources allocated, and a management review cycle. For Canadian boards that have been asking their executives "so who owns AI risk?" and getting a shrug, the standard makes the answer visible on the org chart. The AI Governance Committee Charter pattern is where most implementations start.
Canadian federal procurement, provincial procurement, and increasingly large-enterprise procurement now ask AI-specific questions in vendor due diligence — algorithmic impact, human oversight, model provenance, third-party AI use. An ISO 42001-certified vendor answers most of those in a single certificate plus a Statement of Applicability. The alternative is a bespoke response to every buyer's questionnaire, forever.
The AIMS control set (ISO 42001 Annex A / ISO/IEC 42005 impact assessment / policy controls) overlaps materially with the EU AI Act's provider duties, PIPEDA's accountability principle, Law 25's ADM article, and the substantive concepts in the failed AIDA. When the AIDA successor is tabled, an organisation with an ISO 42001 AIMS in place is not starting from zero — it is running a gap analysis, not rebuilding governance.
Every Canadian enterprise has employees using consumer generative AI tools inside working hours without an approved policy. That is the largest single AI risk exposure in most organisations today and it is invisible until something goes wrong. ISO 42001 forces the organisation to inventory its AI systems (Clause 4 context, Clause 6 planning) and to define an AI usage policy that applies to sanctioned and unsanctioned use both. The certification audit tests whether the inventory and the policy actually work in practice.
Top ISO 42001 Lead Implementer & Lead Auditor courses in Toronto
Toronto is the natural anchor for ISO 42001 delivery in Canada — the Vector Institute, the Ontario public sector's January 2026 guidance, and the concentration of federally regulated financial institutions on Bay Street mean the demand for AIMS practitioners is heaviest here. Montreal (MILA, Quebec Law 25 exposure) and Vancouver are close behind. reconn delivers the PECB ISO/IEC 42001 Lead Implementer and Lead Auditor certifications in three formats, remotely into any Canadian time zone.
The Lead Implementer credential is the one to hold if you will be building the AIMS. The Lead Auditor credential is the one to hold if you will be assessing one — internally, as a second-party supplier auditor, or as a certification body auditor. Consultants and in-house AI governance leads working both sides of the fence take the Bundle.
| Format | Best for | Delivery | Action |
|---|---|---|---|
| Self-Study | Independent learners, tight deadlines | PECB PDF curriculum | Buy LI · Buy LA |
| eLearning | Structured self-paced with recorded video | PDF + pre-recorded video | Buy LI · Buy LA |
| Live Online 1-to-1 | Practitioner mentorship with Shenoy | Live sessions, Canadian time zones | Contact us |
| LI + LA Bundle | Consultants, AI governance leads | Both certifications together | Buy Bundle |
Self-Study — PECB curriculum, at your pace
The PECB Self-Study format delivers the full official curriculum PDFs for the Lead Implementer or Lead Auditor programme, plus the exam voucher and one certification cycle. This is the fastest and lowest-cost route for candidates who already have adjacent management-system experience (ISO 27001, ISO 27701, ISO 9001) and want to sit the exam on their own timeline. The PECB Exams app handles proctored remote examination end to end.
Buy Lead Implementer Self-Study → · Buy Lead Auditor Self-Study →
eLearning — structured, self-paced, with recorded instruction
The eLearning format bundles the PECB curriculum with pre-recorded video instruction covering each day of the syllabus, plus the exam voucher and certification cycle. Candidates get the structure of a taught course — an ordered progression through Clauses 4 through 10, Annex A controls, and the exam-preparation material — without needing to align diaries with a live cohort. This is the right choice for most working professionals in Canadian time zones.
Buy Lead Implementer eLearning → · Buy Lead Auditor eLearning →
Live Online — private 1-to-1 mentorship with Shenoy Sandeep
The premium format is 1-to-1 live online delivery with Shenoy Sandeep — PECB-certified trainer, one of the world's early PECB-certified AI professionals, and an active ISO 42001 implementer, not a slide reader. Sessions are scheduled to your calendar in ET, CT, MT or PT. The value is not the syllabus (which is the same PECB material either way) — it is the mentorship: mapping ISO 42001 onto your specific Canadian regulatory context, walking through your organisation's actual AI inventory, and pressure-testing your Statement of Applicability before the certification audit. Consultation-first, quoted per engagement.
Contact us for Live Online 1-to-1 →
The Lead Implementer + Lead Auditor Bundle
Consultants selling ISO 42001 advisory services need both credentials — Implementer to build, Auditor to assess. In-house AI governance leads at Canadian enterprises typically need both too: Implementer to run the AIMS, Auditor to conduct the internal audit that Clause 9.2 requires. The Bundle covers both certifications at a combined price that is materially lower than the two purchased separately.
Buy the Lead Implementer + Lead Auditor Bundle →
Both sides of the standard, one enrolment.
The Lead Implementer + Lead Auditor Bundle is the pragmatic choice for Canadian consultants selling AIMS advisory work into Toronto, Montreal or Calgary, and for in-house AI governance leads who will run the AIMS and conduct the Clause 9.2 internal audit. Both certifications, one combined price, one enrolment. Delivered remotely into every Canadian time zone.
Complementary PECB AI credentials
ISO 42001 is the audit anchor. Three additional PECB credentials sit around it and are worth holding in specific contexts — not as substitutes for the ISO 42001 Lead Implementer or Lead Auditor credentials, but as depth in areas the ISO 42001 syllabus deliberately does not go into.
Certified Artificial Intelligence Professional (CAIP)
A foundational credential covering the AI landscape end-to-end — data, algorithms, model lifecycle, ethics, governance. The right choice for governance leads who need working AI literacy without becoming ML engineers. Contact hello@reconn.io for enrolment.
Certified Artificial Intelligence Manager (CAIM)
Focused on running AI initiatives inside an organisation — programme management, cross-functional co-ordination, delivery discipline for AI projects. Complements ISO 42001 for AI programme managers and Heads of AI. Contact hello@reconn.io for enrolment.
Lead AI Risk Manager
A specialist credential on AI risk identification, assessment, treatment and monitoring. The natural companion for CROs, model-risk officers at Canadian federally regulated financial institutions responding to OSFI E-23, and Quebec deployers building Law 25 automated-decision assessments. Contact hello@reconn.io for enrolment.
All three are complementary to ISO 42001 Lead Implementer and Lead Auditor, not replacements. The audit anchor is always the ISO 42001 credential — the organisational AIMS certification is what a Canadian client, board or overseas partner will ultimately ask for.
Further Reading
- ISO 42001: The Complete Global Guide to Artificial Intelligence Management Systems — the pillar reference for AIMS scope, structure, Annex A controls, and international regulatory context.
- ISO 42001 Implementation Guide: Step-by-Step Methodology — the practitioner sequence from gap analysis through certification audit.
- ISO 42001 Lead Implementer — the credential for building the AIMS, syllabus and career context.
- ISO 42001 Lead Auditor — the credential for assessing an AIMS, syllabus and career context.
Frequently asked questions
No. ISO 42001 is a voluntary international standard. Canada has no federal AI-specific statute in force as of 2026, and no Canadian law currently mandates ISO 42001 certification. Its value in Canada is as the auditable evidence base for the obligations that do apply — PIPEDA, Quebec Law 25, OSFI Guideline E-23, the Treasury Board Directive on Automated Decision-Making, and the extraterritorial EU AI Act.
The Artificial Intelligence and Data Act was Part 3 of Bill C-27. The Bill died on the order paper when Parliament was prorogued in January 2025 and has not been reintroduced. The Minister of Artificial Intelligence and Digital Innovation has signalled that any successor legislation will be a fresh design rather than a repackaged AIDA. The February 2026 national AI strategy consultation summary indicates future rules on safety evaluation, red-teaming, human oversight and traceability — concepts that map cleanly onto an ISO 42001 AIMS.
The EU AI Act applies extraterritorially, so Canadian providers and deployers whose AI output is used in the EU market are in scope regardless of where the company is headquartered. ISO 42001 is not a legal substitute for AI Act compliance — no ISO standard can confer that — but it is the fastest available way to build the risk management, data governance, technical documentation, human oversight and post-market monitoring evidence the Act requires. For Canadian exporters, it is the practical starting point.
OSFI E-23 governs model risk management at federally regulated financial institutions. AI and machine-learning models sit inside E-23's scope, but E-23 is a model-level guideline — it does not sit at the enterprise AIMS layer. ISO 42001 sits above E-23, connecting model-level controls to enterprise AI policy, roles, third-party AI use and continual improvement. The two audit cleanly against each other; ISO 42001 does not replace E-23, and vice versa.
No — Law 25 is a statute enforced by the Commission d'accès à l'information and compliance is judged against the statute, not against ISO 42001. What ISO 42001 does is produce the documented evidence Law 25 will ask for: the identification of the automated decision system, the impact assessment, the transparency notice to affected individuals, and the human-oversight mechanism. Quebec deployers implementing ISO 42001 have the operational paperwork for Law 25 in place as a normal by-product of the AIMS.
For a mid-sized Canadian organisation with existing ISO 27001 or ISO 9001 management systems, six to nine months is a realistic path from gap analysis to Stage 2 certification audit. Organisations with no prior management-system experience should plan on twelve to eighteen months. The certification cycle itself follows the ISO/IEC 17021-1 pattern — Stage 1 documentation review, Stage 2 on-site or remote audit, three-year certificate with annual surveillance. Prices are not published on the site because they depend on scope; contact hello@reconn.io for advisory scoping.
Lead Implementer if you will be building the AIMS; Lead Auditor if you will be assessing one; the Bundle if you will be doing both. Most Canadian consultants selling AI governance advisory work take the Bundle. In-house AI governance leads at Canadian enterprises typically also take both, because Clause 9.2 of ISO 42001 requires an internal audit and the person running the AIMS should not audit their own work — the Auditor credential lets someone else in the same organisation own that internal audit competently.
Yes. reconn is a PECB Authorised Training Partner delivering PECB certifications globally, including into every Canadian time zone. Shenoy Sandeep is a PECB-certified trainer and one of the world's early PECB-certified AI professionals. The PECB Exams app handles proctored remote examination; certification is issued by PECB directly.
Yes. PECB delivers the ISO/IEC 42001 Lead Implementer and Lead Auditor exams in English, French, Spanish, German, Arabic and Brazilian Portuguese. For candidates in Quebec or elsewhere in Canada wanting the exam in another language, contact hello@reconn.io and reconn can arrange it via PECB.
Yes. Beyond training, reconn runs an advisory service assisting organisations in EMEA and internationally with ISO 42001, ISO 27001, ISO 27701, ISO 22301 implementation and certification support. For Canadian clients, delivery is remote. Contact hello@reconn.io or WhatsApp +971 58 572 6270 to scope an engagement.
Not just training — reconn implements ISO 42001 for Canadian clients.
If you need an AIMS built and certification-ready — not just certified people — reconn provides remote ISO 42001 implementation advisory for Canadian organisations across financial services, public sector procurement, healthcare, technology and professional services. Gap analysis, Statement of Applicability, control implementation, internal audit, certification-body handoff. Delivered by an active practitioner, not a consultancy running the standard as an outsourced checklist.
About the Author
Shenoy Sandeep
Shenoy Sandeep is the Founder of reconn, an AI-first cybersecurity firm based in Dubai, UAE. With 20+ years across cybersecurity focussing on offensive security and threat intelligence portfolio, and over 10 years in Enterprise AI, AI governance and data protection, he has assisted over 25+ startups in scaling their business in the Middle East and African region.
Training is Shenoy's passion project and reconn has associated themselves with PECB, the global leaders in personal certifications for AI, cybersecurity, data protection, privacy and business continuity professionals. He is a PECB-certified trainer and one of the world's early PECB-certified AI professionals, also specialising in ISO/IEC 27001, ISO/IEC 27701, ISO 42001, ISO 22301, and GDPR.
Via Reconn, Shenoy runs an advisory service assisting organisations in the EMEA with compliance and certification on ISO 42001, ISO 27001, ISO 27701, ISO 22301 and local data protection and privacy laws. His current interests include EU AI Act, NIS2, DORA, EU/UK GDPR, UAE PDPL and SDAIA PRPL.