Real clients. All verticals. Real impact.
Our independent AI assurance services have helped organisations leverage the power of AI safely and responsibly across 15+ industries around the world
Browse by industry
Explore how Eticas evaluates and improves AI systems across sectors. Each industry highlights the key applications where we’ve provided audit, risk and governance support.
Healthcare
AI in diagnosis, triage and care delivery where patient safety is paramount.
Government
Public-service AI that affects access to benefits, housing, healthcare or support.
Recruitment & HR
Hiring and assessment tools where fairness, transparency and anti-discrimination are key.
Customer operations
GenAI and automation in customer care, from chatbots to agent-assist tools.
Insurance
Pricing, underwriting and claims AI that balances fairness, explainability and protection.
Culture & media
GenAI for content creation where copyright, provenance and editorial integrity matter.
Emergency services
Safety, triage and situational-awareness models under time pressure and uncertainty.
Life sciences
AI that informs discovery, trial design and evidence generation for treatments.
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Industry detail
Healthcare
When AI supports diagnosis, triage or care decisions, patient safety and clinical effectiveness are paramount, and systems are often high-risk under regulation.
We work with hospitals, device manufacturers and digital health teams to evaluate AI systems on real clinical data, with clear, accountable human oversight.
Our healthcare audits focus on false negatives and false positives, subgroup performance, documentation for regulators, and the human-in-the-loop workflows surrounding each model.
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Diagnostics support
Medical devices
Clinical triage tools
Companion apps
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Predictive ML
Computer vision
GenAI
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Audit
Bias testing
Impact assessment
Monitoring
Healthcare case studies
Industry detail
Government
When AI informs public decisions, from allocating social support to assessing risk, fairness, accuracy, and accountability are essential, especially as many systems become high-risk under emerging regulation.
Government teams use our audits to understand how models behave with real populations, where disparities may appear, and whether governance and data practices meet public-sector standards.
Our work focuses on subgroup performance, potential bias, documentation for oversight bodies, and the human workflows surrounding each system to ensure AI strengthens public services rather than reinforcing existing inequities.
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Resource allocation
Risk scoring
Data protection
Emergency services
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Predictive ML
ML hybrids
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AI audit
Community-led audits
Risk assessment
Governance playbooks.
Government case studies
Industry detail
Recruitment & HR
When AI screens candidates or ranks applicants, fairness, transparency, and legal compliance are critical, and errors can quickly scale into systemic discrimination across hiring pipelines.
HR and recruitment teams use our audits to understand how models treat different demographic groups, where bias can emerge, and whether data practices and documentation align with employment and equality regulations.
Our assessments focus on subgroup performance, feature and data risks, explainability for hiring stakeholders, and governance processes that ensure AI-supported recruitment is consistent, defensible, and genuinely merit-based.
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Screening tools
Assessment platforms
Trial design optimisation
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Predictive ML
ML hybrids
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AI audit
Explainability documentation
Governance playbooks
Recruitment & HR case studies
Industry detail
Customer operations
When AI interacts directly with customers offering guidance, triage, or wellbeing support, safety, clarity, and reliability are essential. Small errors in tone, advice, or escalation can quickly undermine trust and lead to inconsistent or harmful experiences.
Customer-facing teams rely on our audits to understand how conversational systems behave in real interactions, how they respond under emotional or high-pressure scenarios, and whether privacy, bias, and escalation protocols meet expected standards.
Our reviews focus on accuracy, consistency across user groups, crisis-handling workflows, data minimization, and whether the AI provides actionable, appropriate support, ensuring customer operations scale responsibly without compromising care or trust.
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Chatbots
Agent assistants
Knowledge retrieval
Call summarisation/ routing
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GenAI (LLMs)
Retrieval-augmented generation
Intent classifiers
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AI audit
Assurance documentation
Prompt evaluation frameworks
Post-deployment monitoring
Customer operations case studies