You’re reviewing a proposal from an Indian technology firm that builds AI-driven services. Their pitch deck leads with governance credentials: several staff members hold the Artificial Intelligence Compliance Professional certification from Copenhagen Compliance, two hold a Generative AI in Risk and Compliance qualification from the Global Skill Development Council, and the firm has a documented internal AI policy. There is a section titled “Compliance and Governance” and it looks thorough.
What you’re looking at is evidence of completed training. Whether that is enough depends on what the AI system does, who it touches, and which regulatory framework applies to your business.
The choice you’re actually facing
An Indian AI supplier presenting compliance certifications is signalling that their staff have completed training on AI governance and risk. The question is whether those certificates do anything useful in a UK regulatory context, or whether they are a competency signal from a training provider rather than evidence that the supplier’s systems meet your actual compliance obligations. That distinction shapes everything else.
India’s AI certification market has developed quickly. Copenhagen Compliance runs an Artificial Intelligence Compliance Professional programme with an India-specific delivery option. The Global Skill Development Council offers a Generative AI in Risk and Compliance qualification. Tonex and NLL.ai deliver the Certified AI Compliance Officer course. The International Compliance Association runs a three-hour AI for Compliance Professionals workshop at £245 plus VAT. The IEEE has its CertifAIEd ethics certification designed for firms implementing AI.
None of these is issued by the UK ICO, the FCA, the NCSC, or the EU authorities responsible for the AI Act. A certificate from any of them records completed training and, in some cases, a passed examination. It is not a regulatory approval, a legal safe harbour, or proof that a supplier’s systems meet your compliance obligations.
When is certification a genuine signal worth weighing?
If the AI use-case sits outside the EU AI Act’s high-risk categories, you have your own controls layered on top of the supplier relationship, and the certification comes from a body with a published syllabus and a genuine assessment process, treating the certificate as a positive indicator is reasonable. It narrows the field without replacing your own due diligence.
The conditions that make certification worth counting are specific. The AI task should sit outside high-risk territory: content drafting, internal workflow automation, marketing analytics, and tools that do not process personal data tend to qualify. You should have your own data minimisation, access controls, and monitoring in place so that a supplier failure remains bounded. The certification body should publish its syllabus and use real assessment criteria: the ICA’s AI for Compliance Professionals workshop and the IEEE’s CertifAIEd programme are examples where a transparent syllabus and genuine examination make the credential worth noting, whereas generic AI literacy content with no visible assessment method carries less weight.
A supplier who voluntarily pursued structured certification and documented their AI policy is a more considered starting point than one who hasn’t. Where speed and cost matter, an Indian AI firm that shows this kind of governance evidence may represent a pragmatic choice, provided your contract includes the right protections and performance monitoring.
When should you go further than the certificate?
Where the AI system falls into a category the EU AI Act treats as high risk, where your business operates in a regulated sector such as financial services, or where personal data will be processed, a private training certificate gives you limited protection. The ICO, the FCA, and EU AI Act authorities assess actual controls and outcomes rather than the qualifications a vendor’s staff hold.
The EU AI Act’s high-risk categories include biometric identification, credit scoring, recruitment screening, medical devices, and critical infrastructure operations. Where a supplier’s AI falls into these categories, or could plausibly be used for them in future, formal conformity assessment obligations apply regardless of the training the supplier’s staff have completed.
FCA-regulated firms face an additional layer. Outsourcing requirements, operational resilience expectations, and model risk management standards in the FCA Handbook apply to the regulated firm, not the supplier. A private certificate held by an Indian technology firm’s employees does not satisfy these obligations.
Personal data adds a further dimension. Where the supplier will handle UK or EU personal data, UK GDPR rules on data transfers, processing agreements, and technical security apply directly. If the supplier itself relies on US-based large language model providers, the supply chain risk extends beyond whatever certifications anyone in the chain holds. The NCSC’s secure AI development guidance addresses this level of analysis specifically, and it is the kind of scrutiny regulators would expect you to have applied.
What does it cost to get this wrong?
The cost of over-relying on vendor certifications runs from expensive to existential. Under UK GDPR, the ICO can fine up to £17.5 million or 4% of global annual turnover, and its £7.5 million penalty against Clearview AI in 2022 confirmed that non-UK firms are fully in scope when they process data belonging to UK residents. In regulated sectors the numbers run higher still.
The Santander case is instructive. The FCA issued a £107.79 million fine for persistent gaps in financial crime controls, illustrating what happens when automated compliance processes are inadequate in a regulated firm. The Clearview AI case included an order to cease all scraping activity and delete every UK resident’s data held by the company, with enforcement coverage that extended well beyond the technology press.
Regulators assess what the system does and what controls are in place, not what training certificates a vendor holds. Relying on a supplier’s certifications as your primary governance evidence is unlikely to satisfy the ICO’s accountability expectations under UK GDPR, and it leaves your business exposed if a breach or complaint follows.
Beyond fines, remediation costs tend to run alongside enforcement: independent audits, system rebuilds, and retraining programmes feature regularly in regulatory remediation plans alongside monetary penalties.
What to ask before you decide
When an Indian AI supplier leads with certifications, the right move is to ask questions that map to your actual regulatory obligations rather than to their marketing. Which specific programmes did your staff complete? What does each syllabus cover? How do your processes map to UK GDPR and ICO AI guidance? Where is our data stored and processed?
Five lines of questioning repay the time.
First, regulatory mapping. Have they conducted a gap analysis against EU AI Act requirements or ICO guidance on automated decision-making and profiling? The answer shows whether the supplier understands their obligations, not just their training completion records.
Second, data protection and security. How do they handle UK and EU personal data transfers? Can they share their technical and organisational measures covering encryption, access controls, logging, and incident response, aligned with NCSC secure development guidance?
Third, sub-processor transparency. Which third-party AI services or foundation models do they rely on, and how do they manage sub-processors handling your data? This matters particularly when the supplier routes work through US-based large language model providers.
Fourth, explainability. For AI systems influencing significant decisions, can they explain outcomes and demonstrate human oversight in line with ICO guidance on AI decision-making?
Fifth, incident history. Have they experienced AI-related incidents, and what did they do about it? A supplier who can answer this concretely has thought about risk management beyond the training room.
The answers to these questions do more work than any certificate on the company letterhead. If a supplier deflects them or treats their certifications as sufficient on their own, that response is itself useful information about how they are likely to perform when something goes wrong.
