AI Implementation

AI consulting & execution built around real business operations

Capabilities

AI Strategy & Use Case Definition
AI Maturity & Readiness
Custom AI Development
Agentic Systems & Workflow Automation
Analytics & AI Insights
Enterprise AI Governance

Trusted by ambitious organisations across every major sector

  • WWF Logo
  • Utility Warehouse Logo
  • Undo Logo
  • Triple Point Logo
  • Third Space Logo
  • The Alan Turing Institute Logo
  • Smarkets Logo
  • Shell Logo
  • Royal Foundation Logo
  • Qaitum Logo
  • Power League Logo
  • Petex Logo

Approachimplementing AI with purpose and precision

  • Outcome before architecture

    The business outcome is defined long before the build begins, ensuring every investment is grounded in a clear commercial case and directed at the problems that create the most value.

  • Team reviewing a digital product on screen

    Production-grade from day one

    Every implementation is architected for the operational environment it needs to live in, production-ready, measurable and built to scale beyond the initial deployment.

  • Mobile product screens in a dark studio

    Explainable and governed

    Every implementation includes the risk frameworks, audibility, and compliance protocols that give compliance teams confidence and users trust, AI that performs reliably and stands up to scrutiny.

AI Technologies

  • Vercel Eve
  • Claude
  • Open AI
  • Langchain
  • n8n

From the team

Phillip ChambersTechnical Director

AI implementation
Industry Leaders

  • Peter Richman

    Peter Richman

    Managing Director

  • Gabriel Davenport

    Gabrielle Davenport

    Operations Manager

  • James Nixon

    James Nixon

    Creative Director

  • Dino Rakitzis

    Dino Rakitzis

    Commercial & Delivery Manager

  • Phil Marklew

    Phil Marklew

    Head of Development

  • Phil Chambers

    Phil Chambers

    Technical Director

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Have questions?

Adoption of AI is a top enterprise IT priority. Enterprise AI is designed for organisations looking to implement AI at scale, as a strategic opportunity to drive digital transformation, developing, deploying and maintaining AI applications across the entire value chain.

Readiness is less about technical infrastructure and more about having clearly defined problems worth solving. Plug & Play begins every AI engagement with a maturity and readiness assessment, auditing data, infrastructure and organisational capability to establish an honest starting point before any implementation begins.

 AI strategy defines where AI can create value and how to sequence the investment. AI implementation is the build designing, engineering and deploying AI in production. Most organisations need both, Plug & Play delivers across the full spectrum.

It depends on scope, but most engagements move from strategy to first production deployment within three to six months. Plug & Play prioritises high-value use cases first, delivering measurable results quickly rather than running extended discovery programmes before anything ships.

ROI is defined before the build begins. Plug & Play anchors every AI engagement to a clear business outcome, whether that's cost reduction, speed improvement, or revenue impact and tracks against it throughout delivery.