From initial strategy through to live, governed, production-grade AI, we provide the expertise, engineering, and oversight that enterprise requires.
Board-level AI vision grounded in operating reality. We assess your market position, data maturity, capability baseline, and regulatory environment, then build a phased, costed roadmap with clear business cases for every investment.
Deliverables include executive-ready strategy documents, prioritised opportunity assessments, and board presentation materials.
We move models from prototype to production: API and platform selection, system integration, data pipeline engineering, reliability architecture, and the monitoring layer that keeps AI systems performing in the real world.
We work model-agnostic, OpenAI, Anthropic, Google, open-source, or your own fine-tuned models, and integrate with your existing ERP, CRM, and data infrastructure.
Compliance isn't an afterthought, it's designed in from the start. We build governance frameworks that satisfy EU AI Act obligations, align with GDPR requirements, and give your board real oversight of AI systems and their risks.
Includes model risk policy, incident response procedures, AI ethics frameworks, and the documentation needed for regulatory engagement.
The data layer is where most AI programmes fail. We design and build the data architecture, pipelines, and quality frameworks that make AI repeatable and auditable at enterprise scale, then engineer the ML layer on top.
From data warehousing and feature engineering to model fine-tuning, evaluation, and continuous retraining pipelines.
Capability stays in-house. We deliver structured learning programmes for leadership, functional leads, and technical teams, so your organisation can run, iterate, and govern AI without ongoing dependence on external consultants.
Formats include board briefings, executive workshops, functional team sprints, and technical bootcamps, all mapped to your specific AI systems and use cases.
When AI is a strategic priority rather than a departmental initiative, it requires programme-grade mobilisation. We provide the governance, delivery structure, and leadership capacity to run AI transformation as the major organisational change it is.
Suitable for organisations running multiple concurrent AI workstreams or embedding AI across a significant part of the operating model.
Enterprise AI requires understanding the sector it operates in, its regulatory constraints, workflow dynamics, and risk profile. We bring both.
Credit risk, fraud detection, KYC automation, regulatory reporting, and trading intelligence.
Predictive maintenance, demand forecasting, grid optimisation, and ESG data automation.
Clinical decision support, administrative automation, and patient data intelligence, within GDPR constraints.
Predictive quality control, supply chain intelligence, and production optimisation at plant scale.
Tell us where you are in your AI journey. We'll suggest the most appropriate starting point, no commitment required.