We work across regulated and high-stakes environments — applying the same disciplined, repeatable approach whether you’re deploying customer support copilots, internal assistants, or agentic workflows connected to production systems.
We test AI across verticals — financial services, healthcare, legal, retail, and public sector — applying the same disciplined, evidence-based methodology to every engagement, regardless of sector or model.
AI testing is not a checkbox. It is the discipline that makes the difference between an AI system that works in production and one that quietly fails — or visibly fails at exactly the wrong moment.
We built PGN Limited to provide UK organisations with the kind of independent, technically credible AI testing that the stakes demand.
Our Services →PGN Limited provides specialist AI testing across the full range of UK industry verticals — each with its own risk profile, accountability expectations, and failure modes.
From wealth management and capital markets to retail banking and payments — LLMs in financial services carry high regulatory accountability and low tolerance for hallucination. We test disclosure tools, advisory chatbots, fraud detection assistants, and automated reporting systems against the expectations of UK financial regulatory institutions.
Clinical decision support, patient triage assistants, administrative AI, and medical information tools — healthcare LLMs face unique performance and safety requirements. We test under realistic clinical load profiles, validate against sector-specific accuracy thresholds, and produce evidence aligned to the expectations of UK healthcare regulatory institutions.
Contract review, legal research, client advisory, and document automation — legal LLMs require consistent, jurisdiction-aware outputs. We red-team against clause variations, jurisdiction-specific phrasing, and adversarial inputs that expose inconsistency, producing test suites aligned to the accountability standards expected by UK legal regulatory institutions.
Customer service assistants, product recommendation engines, and personalisation tools — retail LLMs face peak load events and adversarial users at scale. We stress-test under Black Friday-level load profiles, probe for prompt injection and output manipulation vulnerabilities, and validate RAG pipeline accuracy for product and policy content.
Citizen-facing services, internal knowledge tools, and policy assistance — public sector AI operates under high transparency and accountability obligations. We test against accessibility requirements, probe for bias across demographic characteristics, and produce evidence packs aligned to the expectations of UK public sector regulatory institutions.
Internal productivity tools, developer assistants, knowledge management systems, and AI-powered SaaS products — enterprise LLMs need robust evaluation frameworks that scale with product releases. We design CI/CD-integrated evaluation pipelines and provide ongoing regression testing as models and prompts evolve.
Four principles that underpin every PGN Limited engagement — from a two-week performance test to a six-week comprehensive assurance programme.
Internal teams validate that systems do what they were designed to do. We validate that systems do not do what they should not — under real-world conditions, adversarial inputs, and unexpected load patterns that internal testing rarely covers. We operate at arm's length from the engineering teams that built the system.
A 94% hallucination-free rate is excellent for a consumer chatbot and potentially inadequate for a clinical triage tool. Our test suites are calibrated around the actual risk tolerance of your sector and deployment — not generic benchmarks lifted from academic papers or US industry standards.
Every engagement produces structured, written evidence — not slide decks. Test logs, findings reports, severity ratings, remediation guidance, and CI/CD-ready regression suites. The evidence we produce is designed to answer the questions that UK regulatory institutions and internal auditors will ask.
Testing that requires our continued involvement is not a sustainable model. Every engagement concludes with a knowledge transfer session, full documentation, and CI/CD-integrated test infrastructure that your team can run, extend, and own independently. We leave capability behind, not dependency.
Tell us about your AI deployment and we'll identify your highest-risk areas within two working days — no cost, no obligation, NDA first.