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AI STRATEGY FOR SME INNOVATION

We empower small and medium-sized businesses to thrive through specialized AI strategy, transforming operations and unlocking new growth potential.

Our Specialized AI Services

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.

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