From AI ambition to production-grade capability

Your employees are already using AI. They're turning to ChatGPT for content drafts, research, and problem-solving - both at home and in the workplace. And while these public AI tools bring impressive acceleration and ideas, they're just the tip of the iceberg. The real opportunity lies in applying AI to your data, processes, and operations - but knowing where to take that first step beyond chat is the challenge.

The barriers holding enterprises back from AI

We hear consistent concerns from enterprise leaders:

Complexity without clear direction – The AI landscape is crowded with services and possibilities, but little practical guidance on how to move from experimentation to production.

Unfocused AI experimentation – AI budgets are being released without clear goals, leading to AI development for the sake of being seen to use it, rather than with the direction, measurement, and structure needed for success. 

Data security and governance – Sharing business information with public AI tools means concerns your data could leave your control.

Fragmented data landscapes – Valuable data sits across multiple locations and systems, making it difficult to consolidate and optimise for AI outcomes.

How we remove these barriers

We get it. We’ll cut the complexity and provide the guidance that's missing from the crowded AI landscape. Whether you're taking your first steps or ready for production-grade solutions, we provide tailored enablement, architecture selection, and expert support at every stage. 

AI Sprint: turn ambition into production-ready AI

For organisations ready to turn AI ambition into operational reality. You'll identify high-impact opportunities that align with your strategic goals, build executive confidence through validated business cases, and see working prototypes that prove value in weeks rather than months. 

Our structured pathway ensures your solution is grounded in real business processes and data realities, meets enterprise standards for production deployment, and establishes a repeatable capability for continuous AI development across your organisation. 

Use case development & evaluation - We begin by identifying and assessing AI opportunities that align with your business objectives, ensuring we focus on high-impact initiatives from the start. 

Business strategy & technology alignment workshop - We secure executive sponsorship, validate your use case against clear business outcomes, and create a roadmap of projects prioritised in line with your most important strategic goals. This ensures strategic alignment before any development begins and prevents unfocused AI experimentation. 

Service design - We work closely with necessary business stakeholders to understand your data, processes, and workflows. This collaborative discovery ensures the solution is grounded in operational reality before we move to technical building. The service design phase identifies foundational gaps early, helping mitigate data and security challenges as part of the architecture design. 

AWS AI services architecture selection - We design the right AWS AI services architecture for your specific scenario, selecting services like Amazon Bedrock or Amazon Q Business with clear rationale, and creating a technical roadmap that takes you from PoC through to production. 

Sprint-based DevOps PoC - Through a focused sprint-based DevOps engagement, we deliver a working prototype that demonstrates feasibility and business value, testing assumptions rapidly and refining functionality based on feedback to generate early wins that build user buy-in and organisational momentum. 

AI production ready checklist - Before production deployment, we run an AI production ready checklist based on the Well-Architected Framework AI Lens, ensuring your solution meets enterprise standards for security, reliability, and operational excellence. 

Executive closure & continuous capability - We close the loop with your executive sponsor through a structured transition session, confirming the original business case has been realised and ensuring you have a production-ready solution. We then loop back to the start to identify and develop the next use case, building continuous AI capability across your organisation. 

Why this approach works

Think of it like a Formula 1 pit stop. The pit crew doesn't just throw tyres on and hope for the best - they have a precise choreography that looks methodical but delivers incredible speed. Our initial workshops are that choreography. When we enter the DevOps sprint, we're not discovering problems - we're executing a validated plan at pace. 

Building enterprise AI with confidence

AI doesn't have to be risky or hard to start. With AI Sprint, you get a clear pathway from strategic alignment to production-grade capability - with expert guidance at every step and the confidence that your data remains under your control.

Ready to turn your AI ambition into operational reality? Let's talk about your strategic goals and build a solution that proves value fast and scales with confidence. Fill in the form here, and we’ll be in touch.