Enterprise & PLCs
Board-level assurance, group-wide inventories and audit-ready evidence.
Where we focus
High consequence.
High consequence.
High accountability.
We start where AI risk, sensitive data, regulatory attention and budget intersect. The framework is the same in every sector; the risks, evidence and stakeholders are not.
01
Banking & finance
AI-influenced credit and service decisions, customer data, model risk and heavy board scrutiny.
- Model and AI risk governance aligned to existing risk management frameworks
- Technology and cyber risk expectations already applied to regulated institutions
- Explainability and human oversight for customer-affecting decisions
- Third-party and cloud model dependency assurance
02
Insurance & takaful
Claims triage, underwriting support, fraud detection and automated customer communication.
- Fairness and bias testing on underwriting and claims models
- Documented human review for adverse outcomes
- Accuracy and tone controls on customer-facing generative content
- Retention and use limits on sensitive health and financial data
03
Healthcare
Clinical and administrative AI, patient privacy, safety and reliance on third-party models.
- Impact assessment where AI touches patient safety
- Clear separation of clinical decision support from decision making
- Privacy controls for personal health data and cross-border processing
- Vendor assurance before clinical or administrative deployment
04
Telco & digital
LLM platforms, customer service automation, agentic AI and large-scale personal data.
- Prompt injection and data leakage testing on customer-facing assistants
- Autonomy limits and tool permissions for agentic workflows
- Abuse, escalation and incident handling paths
- Consent and data minimisation across personalisation systems
05
Energy & industrial
Predictive maintenance, OT and IT data convergence and operational resilience.
- Safety-critical failure modes and fallback procedures
- Segregation between operational technology and AI analytics environments
- Data integrity assurance on sensor and telemetry pipelines
- Resilience testing and documented recovery ownership
06
Professional services
Law, accounting, HR and consulting firms where confidentiality is the product and shadow AI is widespread.
- Shadow AI discovery and acceptable use enforcement
- Client confidentiality and privilege protection in AI tooling
- Accuracy verification for AI-assisted work product
- Client-facing disclosure and engagement-letter positions
Who we work with
Regulated enterprises, growing SMEs,
Regulated enterprises, growing SMEs,
and the vendors who sell to them.
01
02
SMEs & scale-ups
Fixed-scope governance foundations that fit a smaller team and budget.
03
AI & SaaS vendors
Assurance evidence that shortens procurement review in regulated sectors.