AI context and ownership
Identify AI uses, organisational responsibilities and the people affected by the system.
ISO/IEC 42001:2023 / Artificial Intelligence Management
Build accountability into the AI lifecycle.
Connect AI responsibilities, risk and impact assessment, human oversight and monitoring. Explore ISO/IEC 42001 certification support for organisations developing, providing or using AI in Nepal.
Nepal-based coordinationIndependent certification
AIMS / IN PRACTICEIllustrative process
SERVICE NEEDS CHECK
Start the quick check Is ISO 42001 right for us?
A short, specific check to help you choose your next step. No contact details required.
The business question
Who is responsible for the risks and decisions connected to our AI?
Why consider this service?
Clarify how AI use is approved, monitored and overseen by people throughout its lifecycle.
What to bring to the first conversation
List the AI tools you use or develop, their purpose and the people affected.
AIMS / THE BUSINESS PURPOSE
Who is accountable for how your organisation develops and uses AI?
Responsible AI use. Defined oversight. Decisions that can be reviewed.
Risk and impact
Consider data, intended use, potential impacts, transparency and appropriate human oversight.
Lifecycle governance
Connect testing, change decisions, monitoring and improvement throughout development or use.
Who can benefit?
AI developers, software businesses, financial organisations, cybersecurity providers and organisations using AI in consequential business processes.
ILLUSTRATIVE EXAMPLE
An AI alert classification is a decision to govern.
A security team uses AI to classify SOC alerts. It monitors false positives and false negatives, defines when an analyst should review outputs, and controls model changes. Testing and incident learning help the team understand limitations and adjust oversight as use evolves.
Hypothetical scenario to explain the management approach; not a client case study.READINESS IS MORE THAN DOCUMENTATION
A management system needs operating evidence.
An AIMS can make AI responsibilities clearer, improve risk decisions and support more transparent discussions with customers and other stakeholders.
Discuss which assessment, implementation guidance, training, internal review and coordination activities your organisation needs. The proposal defines what Innomerc delivers, what involves specialists and what remains with the certification body.
ISO/IEC 42001 concerns an organisational management system. It does not certify that every AI output is correct, unbiased or lawful, or that a particular model is risk-free.
Typical evidence to discuss
- AI system/use inventory and responsibilities
- AI risk and impact assessment records
- Data, oversight and change-management processes
- Testing, monitoring and management review evidence
Illustrative topics, not an exhaustive checklist or a promise that every item is included in an engagement.
YOUR CERTIFICATION JOURNEY
Build readiness. Preserve independence.
Define the scope
Start with your business activities, locations, objectives and current certification status.
Plan readiness
Agree the support needed for gaps, implementation, evidence, training and internal review.
Independent assessment
The certification body assesses the management system and makes the certification decision.
Keep improving
Maintain the system and prepare for applicable surveillance, changes and recertification.
Readiness support and certification are distinct activities. The engagement defines Innomerc’s responsibilities and any specialist involvement. ISO develops standards; independent certification bodies conduct certification.
EDITION & SCOPE
Start from the applicable requirements.
This overview covers ISO/IEC 42001:2023. The organisational AI role, scope, applicable requirements and available certification route are confirmed during scoping.
Read the official ISO standard overview ↗QUESTIONS BEFORE YOU START
Make an informed next move.
Is ISO 42001 only for companies building AI models?
No. It can also apply to organisations providing or using AI-based products and services. The management-system scope should reflect the organisation’s role and actual AI activities.
What affects the price and timescale?
The organisational scope, locations, people, operational complexity, existing evidence and certification-body assessment requirements all matter. We discuss these before defining support. Certification is not guaranteed by a deadline or a consultancy engagement.
Who conducts the certification audit?
An independent certification body conducts its certification assessment and makes the certification decision. Innomerc’s support and coordination responsibilities are defined in the engagement scope.
Can this standard work alongside other management systems?
Yes. Organisations can share suitable management processes while retaining the distinct requirements of each standard. The appropriate combination follows business needs and must be scoped carefully.
CONNECTED CAPABILITIES
Keep the wider business context in view.
LET’S DEFINE YOUR NEXT STEP
A clearer scope starts with a conversation.
Share your organisation, sector, locations, existing certification and target timeframe. We’ll discuss the relevant standard, support and next steps.
Based in Kathmandu, supporting organisations in Nepal. Onsite, remote and specialist needs are agreed for each engagement.