Case Studies
Selected engagements showing how Quantidal helps organisations bring clarity, control, and confidence to AI deployment.
AI Risk Assessment for Agentic AI use
Scenario
A charity began using and orchestrating agentic AI systems to automate complex tasks, including developing websites and managing donation tools.
Risk Context
The use of agentic AI exposed the organisation to significant data privacy and cybersecurity vulnerabilities, creating potential legal, operational and reputational risks. The charity needed clarity on its regulatory exposure and the risks arising from unchecked use of AI agents.
How Quantidal Helped
Quantidal conducted an AI risk assessment, analysing legal and compliance alignment (particularly data privacy) alongside autonomy levels, human-in-the-loop mechanisms, and potential social and ethical impacts. We also drafted an AI policy that allocated roles and responsibilities and established a comprehensive list of approved and prohibited AI uses.
Outcome
The engagement delivered a clear risk classification and a lightweight, overarching governance structure. The charity was then able to deploy agentic AI more safely and confidently, with appropriate controls, clear accountability and practical guidance for staff.
AI Governance Foundations for a Regulated Organisation
Scenario
A mid-sized regulated organisation was beginning to deploy AI tools across operations without a consistent governance framework. Senior leadership needed assurance that AI use would scale safely and compliantly.
Risk Context
AI adoption was fragmented, with unclear accountability, inconsistent documentation, and limited oversight of third-party AI tools. This created regulatory, ethical, and operational risks ahead of upcoming AI regulations.
How Quantidal Helped
Quantidal conducted an AI governance maturity assessment, mapping existing controls against regulatory and best-practice benchmarks. We designed a tailored governance baseline covering roles, policies, risk classification, and decision pathways.
Outcome
The organisation gained a clear, regulator-ready view of its AI risk posture and governance gaps. Leadership was able to approve further AI initiatives with confidence and a defined roadmap for maturity.
AI Readiness Assessment for Responsible Scaling
Scenario
A fast-growing technology-led business wanted to scale AI-driven products but lacked a clear view of whether their organisation was truly AI-ready.
Risk Context
Rapid experimentation had outpaced internal controls, with limited alignment between technical teams, legal, and risk functions. This increased the likelihood of unmanaged model risk, bias, and reputational exposure.
How Quantidal Helped
Quantidal delivered an AI readiness assessment across strategy, governance, risk management, and operating model. We provided a practical maturity scorecard and prioritised actions tailored to the organisation’s growth plans.
Outcome
The client gained a shared understanding of what “responsible AI readiness” meant for their business. They left with a clear, phased plan to scale AI confidently while strengthening governance and trust.