EU AI Act & UK AI Framework Audit
Assess how current systems line up with European and UK AI regulation.
Strategy & Advisory
Regulation & Ethics: Responsible AI
Safe innovation. Comply with the EU AI Act and the UK AI Framework while reducing reputational, operational and regulatory risk.
Assess complianceWhat is included
Controls that turn AI risk into managed practice
We help you implement AI ethically and in compliance with European and UK regulation, so innovation can move with confidence.
Risk Classification
Identify the risk level and obligations attached to each AI application.
Mitigation Plan
Turn compliance gaps into a practical roadmap for reducing exposure.
Technical Documentation
Prepare the evidence, records and documentation regulators expect.
AI Ethics Training
Give teams responsible practices they can apply in product and operations.
Governance Framework
Define policies, ownership and controls for accountable AI delivery.
AI observability
We monitor what our AI does — in production, continuously
Responsible AI is not a policy document. Every model call we put into production is traced, evaluated and auditable. We integrate purpose-built observability tooling from day one.
Langfuse
Open-source LLM observability — traces every prompt, completion and retrieval step so you can audit exactly what your AI did and why.
LangSmith
LangChain's debugging and monitoring platform — captures chain runs, flags regressions and lets teams evaluate model quality over time.
SHAP
The industry standard for model explainability — quantifies each feature's contribution to every prediction so decisions are transparent and auditable.
and more…
Stack selection adapts to your model types, deployment environment and compliance requirements.
Seen in practice
Our ISO 27001 continuous audit agent logs every evidence evaluation, control check and gap detection — giving auditors a complete, timestamped trace rather than a static annual snapshot.
Read the compliance case →Why now
Why responsible AI is critical now
The companies that classify systems, document controls and train teams early will make better AI decisions faster.
European and UK AI regulation is changing the business landscape. Responsible AI is no longer a policy document on a shelf — it is classification, evidence, accountability and repeatable decisions embedded into delivery.
2025EU AI Act obligations move into effect
35M€Maximum fines for severe non-compliance
100%AI systems classified by risk
0Avoidable reputational surprises
Avoid economic sanctions
Fines can reach 7% of global turnover for the most serious infringements.
Protect reputation
Responsible AI practices reduce the chance of public, customer or partner trust failures.
Build trust
Transparent controls help clients, regulators and teams understand how AI is used.
Create advantage
Compliance readiness lets teams move faster while competitors are still untangling risk.
Real-world proof
Responsible AI in production — not just in policy.
The principles we apply are visible in every system we deploy: auditability, bias controls and data governance built in from day one.
24/7control monitoring
ISO 27001 / ENS-Alto Continuous Audit Agent
Responsible AI is the foundation — a continuous audit agent that eliminates human error from compliance evidence and keeps security teams on real threats.
Read the case →Zeromanual transcription
ID Reader and Automated KYC Verification
KYC automation built with privacy-by-design: no data retained, full audit trail, regulatory validation at every touchpoint.
Read the case →100%bias-free job postings
Non-Discriminatory Recruitment Agent
An LLM agent that audits and rewrites postings against equality regulations — responsible AI applied directly to legal and reputational risk.
Read the case →Standards
Secure, accountable delivery.
Recognised standards for information security, quality management and responsible data protection.
ENS Alto
ISO 27001
ISO 9001
GDPRContact
Talk to MCCM about your AI roadmap.
Tell us what you want to improve. We will help you shape a practical route from strategy to production.