End-to-end services that bridge AI strategy with enterprise execution — from readiness assessments and ML architecture to governance, ethics, and executive leadership.
Assessments, prioritisation & governance frameworks
Assess organisational AI readiness and define a multi-year enterprise roadmap — identifying and prioritising use cases by business value and feasibility.
Design AI governance frameworks covering policies, ethics guidelines, and accountability structures to keep your programme compliant and in control.
Equip leadership teams with the AI literacy needed to sponsor, govern, and scale AI programmes — from executive workshops to board-level briefings.
GenAI, RAG, NLP, computer vision & predictive analytics
Design and build ML and GenAI solutions from model selection through to PoC — spanning LLM/RAG architectures, NLP, computer vision, and predictive analytics.
Architect Generative AI systems with the right retrieval strategies, prompt engineering, and safety controls to deliver reliable, production-ready outcomes.
Integrate AI solutions seamlessly into existing enterprise systems, data infrastructure, and operational workflows with minimal disruption.
Helix governs your deployed AI solutions — managing agent lifecycle, observability, and safety guardrails across every model you put into production.
Explore Helix Platform →Model lifecycle, drift detection & infrastructure optimisation
Design and implement enterprise MLOps platforms (Kubeflow, MLflow, SageMaker, Vertex AI) with full model lifecycle management, versioning, and experiment tracking.
Build automated ML pipelines for training, evaluation, and deployment, with continuous model monitoring, drift detection, and retraining automation built in.
Architect governed feature stores and optimise AI infrastructure for cost-efficient, scalable training and inference across GPU/TPU environments.
Helix acts as the enterprise control plane on top of your MLOps stack — providing cross-framework governance, drift detection alerts, and Human-in-the-Loop controls.
Explore Helix Platform →Governance, architecture & data monetisation
Develop enterprise data strategy and governance frameworks — covering ownership, stewardship, classification, and quality standards aligned to business objectives.
Design modern data architectures including data lakehouse and data mesh, with master data management strategies that enable scalable, governed data ownership.
Build advanced analytics and data monetisation strategies — from self-service BI and embedded analytics to data product development and democratisation.
RPA, agentic AI & workflow orchestration
Identify, map, and automate business processes using RPA, intelligent document processing, and AI-powered decision and workflow orchestration engines.
Design autonomous agentic AI architectures for complex, multi-step business tasks — enabling end-to-end process automation with full governance and oversight.
Model automation ROI upfront and track post-implementation value realisation to ensure every initiative delivers measurable, accountable returns.
Helix is the native platform for Agentic AI at enterprise scale — providing lifecycle management, dependency mapping, Policy-as-Code guardrails, and full observability.
Explore Helix Platform →Architecture, vendor evaluation & operating model redesign
Define digital transformation strategy and future-state technology architecture — with vendor evaluation, RFP support, and technology selection advisory.
Redesign IT operating models toward product-oriented engineering, with platform engineering strategies that accelerate developer productivity.
Support M&A decisions with technology due diligence and provide ongoing competitive landscape analysis to keep technology investments aligned.
ModernZAI delivers the technology execution layer — AI-assisted legacy migration, cloud-native re-platforming, and continuous modernisation lifecycle management.
Explore ModernZAI Platform →Responsible AI, EU AI Act readiness & model risk management
Assess AI risks and design responsible AI frameworks with bias detection, fairness evaluation, and model explainability built into every stage.
Navigate AI regulatory compliance — EU AI Act, NIST AI RMF, and sector-specific requirements — incorporating privacy-preserving techniques.
Build AI incident response plans, model risk management frameworks, and third-party AI vendor assessment processes to protect against emerging risks.
Fractional CTO, board advisory & strategic retainers
Provide fractional CTO and technology leadership advisory — aligning technology strategy with corporate objectives, financial planning, and competitive positioning.
Deliver quarterly executive technology reviews, emerging technology monitoring, and competitive landscape analysis to keep leadership decisions sharp.
Support board-level AI and technology initiatives with investor briefings and ongoing strategic retainer engagements with defined advisory hours.
Our advisory team works with enterprise leaders to turn AI ambition into structured, governed, and value-delivering programmes.