How Can I Assess Technology Concentration Risk Across My Platform Providers?
Short answer
A quick answer first, then the fuller context below.
Concentration risk in platform technology is a growing concern for the FCA. Learn how to assess and manage this risk across your platform providers.
What this points to
This usually points to AI Risk & Efficiency Audit
If this question reflects a real workflow, supplier, data or governance decision inside the firm, do not treat the answer as theory. Use it to decide whether you need a light assessment, a deeper audit, a controlled implementation path, governance support or recovery from a genuinely stalled AI attempt.
Detailed answer
The fuller context, trade-offs and practical steps behind the short answer.
Frequently asked questions
Direct follow-up answers written for searchers, buyers and internal decision makers.
What should a regulated financial services firm ask a vendor before relying on this system?
Ask what data the system receives, where it is processed, whether it is used for training, how changes are tested, what audit evidence is available and who is responsible when something goes wrong. A useful vendor answer should give evidence, not just reassurance.
What evidence should be kept for due diligence?
Keep the vendor responses, contract terms, data-processing position, security evidence, model or workflow limitations, approval decision, review owner and renewal date. The point is to show why the system was acceptable for the specific client or operational use case.
How often should the review be repeated?
Repeat the review when the vendor changes material terms, adds AI features, changes subprocessors, expands data use or becomes important to a regulated workflow. Annual review is useful, but high-risk tools need event-based review as well.
Where do firms usually get this wrong?
They treat vendor assurance as a procurement exercise rather than an operating control. The risk is not just whether the supplier looks credible. It is whether the firm can prove the tool is suitable for the data, client impact and decision being supported.
Need help implementing this?
If this question points to a live process, policy or supplier decision, the next step is usually to turn the answer into a controlled plan. These services are the most relevant starting points.
AI Risk & Efficiency Audit
Map real workflows, AI use, data exposure, opportunity value and governance controls before buying or building more tools.
book the AI Risk & Efficiency AuditAI governance consulting
Create policies, approval routes, ownership and controls that teams can actually use day to day.
AI governance consultingSecure AI implementation
Put privacy, supplier review, data boundaries, testing and staff guidance into the implementation plan from the start.
secure AI implementation