Certainty,verified.
A boutique consultancy that proves what should be true, is true — in the software you ship on low-code platforms, in the AI inside it, and in the revenue streams and controls behind it.
Low-code ships fast. We make sure it ships right.
Independent quality assurance and software testing for applications built on low-code and AI-driven platforms — where speed of delivery and non-deterministic AI features make disciplined verification more valuable, not less.
Functional & regression testing
Risk-based test design, exploratory testing and full regression coverage for every release. We use AI-assisted test generation to expand edge-case coverage — manual where human judgement matters, intelligently scripted where it doesn't.
Intelligent test automation
Automation frameworks that survive platform upgrades: UI, API and data-layer tests wired into your CI/CD pipeline. Powered by self-healing AI scripts that adapt to UI changes, built to minimise maintenance overhead.
Performance & security testing
Load, stress and endurance testing plus security checks tuned to low-code architectures. Includes AI-driven fuzzing and vulnerability scanning to expose the non-functional risks platform demos never show you.
Platform review & managed QA
Architecture and best-practice reviews, technical-debt assessments, and dedicated QA teams that embed with your factory for the long run — ensuring your low-code governance scales safely.
AI & LLM integration testing
Rigorous validation for AI agents and machine-learning models embedded in your low-code apps. We test for prompt-injection vulnerabilities, hallucination rates and data privacy — so your AI outputs are safe, accurate and compliant.
Protect the revenue you've already earned.
Consulting built on validity and integrity. We find where money and trust leak out of your processes, close the gaps, and build the monitoring that keeps them closed.
Revenue assurance
End-to-end reconciliation across ordering, mediation, rating and billing. We quantify leakage, recover it, and hand over the controls that catch it next time.
Fraud management
Fraud strategy, detection-rule design and FMS tuning — including AI-enabled fraud such as deepfakes and synthetic identities. Fewer false positives, faster investigation, escalation paths your team can actually run.
Risk, controls & continuity
Controls reviews that stand up to audit, plus business continuity planning: control design, effectiveness testing, BIA and recovery plans with owners and dates.
Forensic data analytics
When something looks wrong, we prove what happened. Data-led investigation and transaction reconstruction, augmented by machine-learning anomaly detection — and evidence you can act on.
AI is probabilistic. Assurance can't be.
Where our two practices meet: independent verification and compliance for the AI now embedded in your applications and processes — from EU AI Act obligations to the behaviour of the agents your platforms build.
EU AI Act readiness
Risk classification of your AI systems, gap assessment against the Act's obligations, and the technical evidence to back it: bias and accuracy testing, documentation, and algorithmic-accountability controls.
Agent assurance
Behavioural testing for AI agents built on agentic low-code platforms — OutSystems, Copilot Studio, Mendix. We verify guardrails, action limits and decision quality before your agents act on real data.
Continuous AI monitoring
Evals in production: hallucination rates, model drift, data-privacy leakage and output quality tracked over time — so the AI you verified at go-live stays verified.
One discipline for software, for money — and for AI.
Whether the subject is a release pipeline, a billing chain or a model, the method is identical: understand it, define what "correct" means, test against it, then keep watching.
Assess
Map the process or platform, identify where risk concentrates, and agree the scope. A diagnostic in weeks, not months.
Design
Define what correct looks like: control frameworks, test strategies, detection rules — with measurable pass criteria.
Verify
Execute. Reconciliations, investigations, test runs and automation — every finding tied to evidence you can inspect.
Assure
Make it stick: continuous monitoring, regression suites in CI/CD, and handover so your team owns the outcome.
Independent by design.
A boutique practice by choice: senior consultants, no bench. We don't build the systems we verify and we don't resell the platforms we test — so our findings are only ever loyal to the evidence.
Software quality and business assurance share methods — sampling, reconciliation, automation. AI assurance is where they meet, and clients get all of it under one engagement.
We test the way low-code is actually built — platform upgrade cycles, generated code, citizen-developer patterns and all.
Every finding ships with the data behind it. Reports are written to be challenged — and to survive the challenge.
Leakage recovered, false positives cut, defects caught pre-release, latency targets met. We agree the numbers up front.
Where verification pays for itself.
We work wherever transaction volume, regulation or software velocity make errors expensive — and independence non-negotiable.
Where revenue assurance was born: usage and billing reconciliation, interconnect and roaming, fraud management at carrier scale.
Transaction integrity, fraud controls and DORA-grade operational resilience — plus QA for the low-code apps modernising your channels.
Claims and premium leakage analytics, and disciplined testing for low-code core and portal modernisation programmes.
Meter-to-cash accuracy, smart-metering data integrity and billing assurance across high-volume, regulated estates.
Citizen services built on low-code: accessibility, continuity and quality that must hold up to public scrutiny.
Patient-facing and clinical-workflow apps where privacy, data quality and AI outputs are safety-critical by definition.
Start with a diagnostic.
Tell us where you suspect a gap — in quality, in revenue, or in your AI. We'll come back within two working days with how we'd verify it and what it would take.