Sector-calibrated AI governance for regulated, high-impact environments.
AI risk is never generic — it is shaped by the industry context, the regulatory perimeter, the data sensitivity, and the consequences of failure. Diligentix helps organisations design and operationalise AI governance, compliance, and assurance that is tailored to your sector’s realities — enabling confident innovation with clear accountability, measurable controls, and audit-ready evidence. Where we are strongest: regulated industries, complex enterprises, and AI systems exposed to public, customer, or safety outcomes.
Financial Services & Banking
Retail Banking | Investment Banking | Asset Management | Payments | FinTech | Insurance
AI is increasingly embedded in credit decisions, fraud detection, customer profiling, and operational automation — all under intense regulatory scrutiny.
How we support you
- AI governance frameworks aligned to model risk and regulatory expectations
- Risk-tiering and impact assessments for high-consequence AI use cases
- Explainability and transparency approaches for decision-making models
- Bias monitoring and fairness controls for customer-impacting AI
- Audit-ready documentation, evidence packs, and board reporting
Insurance
Underwriting | Claims | Pricing | Fraud | Customer Service Automation
Insurance AI requires careful handling of fairness, transparency, and outcome consistency, especially where automated recommendations influence customer treatment.
How we support you
- Controls for underwriting AI (bias, explainability, oversight)
- Governance for claims triage and automation workflows
- AI risk monitoring across product lines and regions
- Vendor/third-party AI due diligence and assurance
Healthcare & Life Sciences
Providers | Diagnostics | MedTech | Pharma | Clinical Research
In healthcare, AI governance must meet a higher threshold: safety, accountability, and human oversight.
How we support you
- Risk classification and safety-focused impact assessments
- Bias and performance evaluation for clinical/diagnostic systems
- Governance for sensitive health data and AI training pipelines
- ISO 42001 readiness for AI management systems
- Audit and assurance evidence aligned to clinical governance standards
Public Sector & Government
Central Government | Local Authorities | Regulators | Public Services
Public sector AI must be transparent, proportionate, and defensible, especially where it affects citizens’ access, eligibility, or outcomes.
How we support you
- Governance models for accountable AI decisioning
- DPIA/FRIA-style impact assessment approaches
- Human-in-the-loop controls and oversight boards
- Audit trails, transparency artefacts, and evidence standards
- Responsible AI practices for citizen-facing services
Technology, SaaS & AI Product Companies
AI Vendors | SaaS Platforms | Data & Analytics Providers | Enterprise Software
For AI product companies, governance is a commercial advantage. Buyers increasingly demand assurance, transparency, and controls as part of procurement.
How we support you
- Compliance-by-design operating models for product teams
- Technical controls: logging, traceability, monitoring, evaluations
- AI documentation packs for enterprise and regulated buyers
- Third-party risk posture and vendor assurance readiness
- ISO 42001 readiness and product governance maturity uplift
Outcome: win regulated clients faster with credible AI assurance and reduced sales friction.
Telecommunications & Media
Customer Analytics | Network Optimisation | Fraud | Personalisation
AI in telco and media must balance performance with fairness and customer impact, particularly in profiling, offers, and automated decision-making.
How we support you
- Governance for profiling and behavioural analytics
- Controls for recommendation engines and personalisation
- Monitoring for drift, fairness, and unwanted outcomes
- Cross-region compliance strategy for customer-facing AI
Outcome: improved performance with fewer conduct, brand, and regulatory risks.
Energy, Utilities & Infrastructure
Critical Infrastructure | Smart Grids | Predictive Maintenance | Operational Optimisation
In critical environments, governance must ensure resilience and safety, with controls that are operationally practical.
How we support you
- Risk classification based on safety and operational impact
- Governance for optimisation and autonomous decision systems
- Monitoring, incident management, and operational assurance
- Audit evidence aligned to risk, safety, and operational standards