We help organisations build, audit, and maintain AI systems that are ethical, transparent, and regulatory-compliant — making responsible AI operational, not theoretical.
ISO/IEC standard we implement end to end
Governance disciplines under one team
Typical path to audit readiness
Continuous compliance monitoring
ISO/IEC aligned frameworks
Sub-services, end to end
Auditable model decisions
Industries supported
We help organisations build, audit, and maintain AI systems that are ethical, transparent, and regulatory-compliant. From ISO 42001 implementation to policy frameworks and assurance readiness — we make responsible AI operational.
Governance fails when it lives in a document nobody reads. We turn policy into controls, controls into tooling, and tooling into the evidence you can put in front of an auditor.
A complete capability stack — from the interface your users touch to the models running underneath.
End-to-end implementation of AI Management Systems aligned with ISO/IEC 42001 standards — roles, controls, records, and review cycles.
Tailored AI governance policies, ethical guidelines, and operating frameworks that fit how your organisation actually works.
Prepare for internal and external AI audits with structured assessments, gap analysis, and an evidence pack that stands up.
In-house tools and platforms to operationalise governance, compliance, and monitoring — so control is continuous, not annual.
A disciplined delivery path — engineered for reliability and built to keep improving in production.
We benchmark your current AI practices against ISO 42001 and regulatory expectations.
We author the policies, roles, and controls that fit how your organisation really operates.
We classify every AI use case by risk and define proportionate controls for each tier.
We embed controls into your delivery lifecycle — not bolted on after the fact.
We run structured assessments and assemble the evidence pack auditors actually ask for.
We operationalise monitoring so compliance holds as your models and regulations change.
Best-in-class platforms and frameworks — chosen for the job, never for the hype.
A snapshot of the outcomes this practice delivers across sectors.
Stand up an ISO 42001-aligned system with roles, controls, and records.
ML models that forecast demand, flag risk, and score opportunities before they happen.
Tier every AI use case by risk and apply proportionate governance.
Test models for bias, robustness, and harmful outputs before they ship.
Generate the logs, lineage, and documentation an auditor expects.
Give leadership an honest, legible view of AI risk and value.
We start with the outcome and the ROI — technology is the means, business impact is the measure.
Strategy, delivery, and ongoing support from one accountable partner — no handoff gaps.
ISO 42001-aligned practices baked in — ethical, compliant, and audit-ready from day one.
Every engagement is tied to a measurable business case and tracked against it.
Deep domain context across eight sectors — solutions shaped by your reality, not a template.
We monitor, refine, and optimise long after launch to keep value compounding.
Bring us a challenge or an idea. We’ll help you scope the opportunity, size the value, and map a practical path from proof of concept to production.
AI Governance rarely stands alone. These capabilities compound its value.
Core AI Engineering & Deployment
Production-grade AI systems — apps, agents, ML, computer vision, and NLP, engineered end-to-end.
Intelligence from Data
Advanced analytics, AI-powered insights, and seamless data integration that fuel every AI system.
Clear AI strategy, cloud & DevOps modernisation, and digital transformation, guided end-to-end.
Discovery, UX, MVP, and full-stack development — built with AI at the core from day one.
A governance programme that classified 40+ AI use cases, implemented controls, and produced a clean evidence pack.
The questions we hear most often about this practice.
Four disciplines: ISO 42001 implementation, AI policy & framework advisory, audit & assurance readiness, and governance products & tooling — from strategy through to continuous monitoring.
Not usually mandatory, but increasingly expected. It is the international standard for AI management systems and the cleanest way to demonstrate responsible AI to regulators, boards, and enterprise customers.
We map your obligations under the EU AI Act and other regimes onto concrete controls, so a single governance system satisfies multiple regulators rather than duplicating effort.
No. We start with a gap assessment of what is already live, tier it by risk, and remediate in priority order rather than pausing everything.
Typically around 90 days for a focused scope, depending on how many AI systems are in play and how mature your existing controls are.
Both. We advise, and we operationalise it with tooling — including AMAYA, our AI compliance assistant — so governance runs continuously instead of once a year.
Yes. Most of our governance work covers models built in-house, bought from vendors, or accessed through third-party APIs.
Book a free consultation. We’ll run a short gap assessment and give you a prioritised path to compliance.
Tell us about your project — we’ll reply within one business day.
