Harness AI safely to well-chosen use cases and enjoy the wide range of benefits it can bring – including better risk management, enhanced productivity, and next-gen personalisation.
Artificial Intelligence (AI) – and especially Generative AI (GenAI) – is already delivering tremendous value for early adopters who have managed to get it into production. And that is the key: AI will not deliver value for your organisation until you have got it into production – safely.
Nearly every organisation in the world is experimenting with AI, eager to harness its power in an attempt to get ahead or, at the very least, not get left behind. However, with such a new technology, the journey from prototype to production is, at best, uncertain and, at worst, a terrifying thought for many organisations.
We have already taken numerous AI-powered solutions through to production – for our own business as well as our clients – and are leading an external AI readiness initiative tasked with formulating a safe onboarding path for regulated industries. Whether you are in the early stages of identifying the best use case or struggling to productionise your prototype, our experienced consultants will guide you through it.
Our first step is always to get to know your organisation before we can assess the feasibility of any AI solution. We pride ourselves on bringing everyone on the journey together. A successful AI project can transform not just your technology but your entire organisation, and that requires a one-team approach with your stakeholders. Our consultants will work with you throughout the entire project, ensuring the end result is a solution built with safety and longevity in mind.
With a small team and in a short timeframe, Scott Logic has accelerated our AI journey while providing assurance of the technology to justify the confidence level that we and our customers require.
Martijn Weltevreden, Product Owner AI, Blinqx
Every month, new and impressive AI capabilities are emerging at the cutting edge. However, existing AI capabilities already offer a huge amount of genuine value that can be harnessed to support your business goals.
Generative AI has a breadth of capabilities with the potential to deliver a wealth of use cases for any organisation. It is important that everyone within your organisation experiences, understands and benefits from this technology.
A well-designed test suite is critical for successful AI projects, allowing you to quantify the quality of your model and shaping its iterative development. Testing this non-deterministic technology is a new discipline, but it’s one in which we’re already experts.
Many organisations are experimenting with AI, but struggling to create robust solutions. AI will not deliver value for you until it reaches production, so we support you to prototype rapidly – failing fast, pivoting and persevering towards the safe deployment of your solution.
Find out how we have helped clients like you with tailored support to tackle technology challenges and achieve business goals.
How we supported DWP Digital to build production-ready pipelines and develop the Machine Learning Operations (MLOps) capability of its data science team so that it could rapidly iterate ML models in a safe environment, with the aim of safeguarding citizens.
From prototype to production, how Scott Logic and Blinqx developed a GenAI-powered legal case timeline, delivering a product that accelerates document analysis and automates paralegal tasks for legal customers.
Our tried-and-tested solutions
While our approach is always tailored to your needs, we have a range of tried-and-tested solutions that speed up delivery and drive a successful outcome.
We turn your AI aspirations into reality, developing a GenAI-powered chatbot in a matter of months. Our experienced engineers will rapidly understand your aspirations, demonstrate feasibility, and move from prototype to production swiftly and safely. Our experience in security, governance and AI-specific threats ensures a successful outcome.
The whole field of Generative AI (GenAI) is grabbing headlines in a way that few technologies have done before. Our expert consultants help your team figure out exactly how and where Generative AI can add value to your business, and how to get started.
James Camilleri spent some time experimenting with AI tools for code generation – more specifically, with agentic AI. In this post, he shares insights from rebuilding a carbon emissions calculator with Devin vs Copilot – where agentic AI speeds delivery and where human engineering remains essential.
James Camilleri
Spec-Driven Development promises reliable, specification-led software generation, but in practice, Colin Eberhardt found the workflow slow, heavy, and less effective than iterative prompting. This post walks through a real-world test using Spec Kit and explains why traditional AI-assisted development still outpaces SDD by a wide margin.
Colin Eberhardt
From our experiences and chats with clients on deploying AI, we can perhaps identify what looks like a spectrum of architectural approaches for enterprise AI deployment. In this post, I explore this spectrum with the goal of helping you consider where your organisation is today and where it might best position itself.
Oliver Cronk
If you’d like to discuss how our specialists can help you turn your GenAI experiments into business as usual.
