AI Assisted Engineering
Embedding AI across engineering practices to help teams accelerate delivery, improve quality and build sustainable AI capability across the engineering function.
Partnering with organisations to embed AI into engineering practices, accelerating delivery, improving quality and building lasting AI capability across delivery functions.
We work with enterprise and public sector organisations to embed AI across their engineering practices, helping teams use AI tools effectively, integrate AI into delivery pipelines and build the capability needed to sustain and extend AI-assisted engineering over the long term.
From embedding AI-assisted code generation and review into development workflows, to integrating AI-powered testing and deployment automation into CI/CD pipelines and upskilling engineering teams across the full range of AI tools and practices available to modern software engineers. We provide the engineering expertise and hands-on delivery capability to embed AI tools and practices that improve how your teams build, test and deploy software.
We work directly with your engineering teams, understanding how they currently work, where the friction is and where AI tools and practices will have the most immediate and sustained impact.
From that foundation, we evaluate existing workflows across development, testing and deployment, identify where AI tools and automation will have the most significant impact and define an approach that is proportionate to your team's maturity and delivery model.
AI-assisted code generation and review is embedded into development workflows, with tools configured and integrated into your existing IDE and version control environment. We work with your engineers to establish effective practices around AI-assisted development, covering prompt engineering, code review, documentation generation and the quality controls needed to ensure AI-generated code meets your standards.
Responsible AI engineering practices are addressed throughout projects. AI-generated code introduces intellectual property, security and quality risks that need to be managed systematically. We work with your teams to establish the review processes, quality controls and governance practices needed to ensure AI-assisted development meets your engineering standards and your organisation's broader risk and compliance requirements.
AI-powered testing and quality assurance is integrated into your delivery pipeline, applying AI to test generation, defect detection and coverage analysis to improve the speed and reliability of quality assurance across the delivery lifecycle. Where DevOps and deployment automation is in scope, we embed AI into pipeline monitoring, incident detection and release management to reduce manual overhead and improve deployment confidence.
Engineering team enablement is addressed as a core component of every engagement. We assess current capability and confidence with AI tools across your engineering function, deliver targeted training and upskilling across the AI tools and practices most relevant to your teams and establish the ways of working needed to sustain AI-assisted engineering as tools and capabilities evolve.
Commodity contracts and services supported for one of the world's largest agricultural organisations
Funding allocation managed each year for the nation’s largest funder of health and care research
Pupils tracked across 12,000 UK wide schools
Annual sales supported through a knowledge management platform for a global manufacturer
Helping engineering teams embed AI across development, testing and deployment practices
From AI-assisted code generation and review, to AI-powered testing and deployment automation and upskilling engineering teams across the full range of AI tools and practices.
Embedding AI tools into development workflows to accelerate code generation, improve code review and automate documentation, configured around your existing IDE, version control environment and engineering standards.
Integrating AI into testing, DevOps and deployment automation to improve the speed and reliability of quality assurance, reduce manual overhead and build greater confidence across the delivery pipeline.
Assessing current capability and confidence with AI tools across your engineering function and delivering targeted training and upskilling, establishing the ways of working needed to sustain AI-assisted engineering over the long term.
Using industry standard tools and technologies
From GitHub Copilot and Claude, to GPT, we use the latest, industry-standard AI tools and platforms to embed intelligent assistance across development, testing and deployment workflows.
Delivering AI in Engineering engagements for organisations across industries
From embedding AI-assisted development practices for enterprise engineering teams, to integrating AI into testing and deployment pipelines across complex software delivery programmes.
ADM Agriculture is a UK subsidiary of ADM, one of the world’s largest agricultural processors and food ingredient providers, with more than 31,000 employees, serving customers in 170+ countries.
STERIS is a leading global provider of products and services that support patient care with an emphasis on infection prevention, focused primarily on healthcare, pharmaceutical and medical device customers, with more than 17,000 associates worldwide.
The National Institute for Health Research (NIHR) is the nation’s largest funder of health and care research. With a mission to improve the health and wealth of the nation through research, the NIHR works in partnership with the NHS, universities, local government, other research funders, patients and the public to deliver and enable world-class research that transforms people’s lives, promotes economic growth and advances science.
The way that we work is that we are subject matter experts, we know our business, we know our customers, we can then have that conversation with the team at Audacia. It is very much a collaborative 2 way process and the level of communication is just fantastic.
- Tom Broadbent, AESSEAL plc
Our latest insights in delivering large-scale engineering projects
Insights on the latest industry developments and technology advancements within software development.
Audacia awarded Highly Commended for AI Company of the Year at the 2026 British Data Awards in recognition of Audacia’s track record of responsible, collaborative AI delivery across regulated and complex industries.
Half of everything software teams build is wasted. This is a consistent finding across multiple studies and decades of data, and it should be the starting point for any conversation about digital product delivery. This article looks at why technology projects consistently lose focus on user outcomes, what the evidence says about the impact of user-centred delivery, and how engineering leaders can build the discipline of tying every feature to genuine user value.
AI coding tools are now embedded in most development workflows, but AI-generated code introduces more security vulnerabilities, duplication and critical defects than human-written code. This article examines the risks and the testing and governance practices engineering leaders need to capture the productivity benefits without accumulating quality debt.
They had a great culture and pragmatic approach, challenging us to think about the data strategy rather than fixing just a short term problem.
- IT Director, Leading Appliance and Electronics Retailer
Talk To Us
As a first step in the process, we offer a free consultation around your current setup. We'll discuss your challenges and goals and see whether we could be a good fit for delivery.
