
AI readiness assessment
A structured diagnostic of your data, technology, people, and processes - so you invest in AI where it will actually work.
AI strategy document
A clear, board-ready plan that ties AI initiatives to your business goals, budget, and risk appetite — not just a list of tools.
Executive AI briefings
Translating AI strategy, governance obligations, and market developments into clear language for leadership and boards.
EU AI Act compliance
Full classification, documentation, and Article 4 literacy programme, so your AI use meets EU obligations before regulators come knocking.
GDPR & AI data protection
Integrating your existing GDPR posture with new AI obligations, including lawful basis, and automated decision-making compliance.
Business process mapping
We map your workflows across every function to pinpoint the highest-value opportunities for automation and AI assistance.
AI implementation plan
A phased, sequenced plan with milestones, owners, and success metrics — from quick wins to longer-term transformation.
AI champions programme
Training internal champions in departments to drive adoption, share best practice, and surface new use cases from the inside.
Change management for AI
Managing the human side of AI rollout — addressing staff concerns, and building a culture of confident experimentation.
Vendor Management Support
Monitoring performance, and advising on vendor relationships, so contracts work in your favour.
Data audit & gap analysis
An honest review of your data quality, completeness, and GDPR compliance, the foundation every AI initiative depends on.
Build vs. buy vs. configure
Objective analysis of your options - custom build, platform configuration, or point solution - with three-year cost modelling.
Continuous improvement
Identifying new use cases as maturity grows, updating the roadmap, and scaling successful pilots across the wider business.
AI governance framework
Policies, roles, a risk register, and an incident log, the internal infrastructure that keeps AI use accountable and auditable.
Responsible AI assessment
Examining your AI use cases for bias, fairness, transparency, and environmental impact — before they become reputational risks.
