Services
We partner at every stage of your AI journey—from initial strategy to scaled deployment—embedding responsible AI across data, models and operations.
AI Strategy & Advisory
What we do
Responsible AI strategy & operating models
Risk assessments, governance frameworks & policy design
AI use-case discovery and prioritisation
Regulatory readiness (e.g., EU AI Act alignment pathways)
Vendor/LLM evaluation and selection
Benefits
Clarity on where AI creates value
Reduced compliance exposure and reputational risk
Stakeholder alignment across business, legal and engineering
Deliverables
Strategy paper and roadmap
Governance playbook & risk register
Decision templates and approval workflows
Machine Learning Consulting & Delivery
What we do
Model design, development and evaluation (classical ML & LLMs)
MLOps, CI/CD for models, monitoring & observability
Data pipelines, feature stores and documentation
Bias, robustness and security testing
Human-in-the-loop review and prompt/agent design
Benefits
Faster time to production
Measurable performance and reliability
Lower total cost through automation and standards
Deliverables
Production-ready models & pipelines
Model cards, data sheets and evaluation reports
Runbooks, dashboards and handover
Training & Upskilling
What we offer
Executive briefings on Responsible AI & regulation
Hands-on ML & LLM workshops for data and engineering teams
Product & design sessions: AI UX, prompt patterns, human oversight
Compliance and risk training for legal & risk teams
Format
Half-day to multi-day programmes
On-site or virtual
Customised to your tech stack and sector
Outcomes
Shared language across stakeholders
Practical tools and templates
Immediate improvements to how teams build and review AI