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Delivery Speed

AI for DevOps

Unlock your technology edge

One of the most prolific use cases for agentic AI in Enterprises exists in the engineering team. It is a valid hypothesis – could AI help us to ship more product, ship better product or ship cheaper product.

Engineering teams are already used to working with a portfolio of tools – adding in some AI coding programs will surely deliver some benefit. The truth is, as we saw with the advent of DevOps, Observability and other engineering trends, a tool used inconsistently, with no measurement, no governance and no strategic framework, will just create noise. Shipping more, better or cheaper product does not rely on adoption of AI, because AI will amplify any existing engineering dysfunction: ungoverned or uncontrolled AI on top of fragmented delivery practices just produces fragmented results, faster.

The answer here is not another platform – it’s a business-driven levelling of capability, process and culture within engineering teams, to bring together the right practice and the right tools, in line with the business outcomes.

We start with the business goals – and then assess where in your delivery process AI will add the most value, how you will measure that value, what is missing to realise that value and how to fill the gaps. We then train your teams to use it consistently, and put a measurement framework in place so the productivity gain is provable, not anecdotal. Our AI-enabled workflows have accelerated delivery throughput by 4–5x and reduced engineering effort by up to 75% per task.

At easyJet, AI-assisted automation delivered 5x faster test authoring while reducing defects. A $250m US SaaS firm cut Lead Time for Changes by 4x. A FTSE 100 firm unlocked £200k a year through AI-assisted SDETs.

5x

Faster test authoring, reducing defects through AI-assisted automation

— easyJet

4x

Reduction in Lead Time for Changes (LTFC)

— $250m US SaaS firm

£200k

per annum. Savings unlocked through AI-assisted Software Development Engineers in Test (SDETs)

— a FTSE 100 firm

Edge unlocked

Pinpoint where AI actually helps – bespoke to you. An AI for DevOps assessment mapped against your delivery lifecycle and your team, not a generic list from a platform or tool provider.

Actionable roadmap to business value. We don’t just generate a hypothesis – we give you a roadmap and stay with your teams as they adopt the tools, processes and upskilling that lead to a measurable impact on business outcomes

Moving fast without breaking things. Our two decades of expertise in engineering high performance, scalable and cost efficient platforms means we don’t sacrifice these outcomes in pursuit of AI. Our AI for DevOps recommendations will always have performance, scalability and efficiency at their core.

Unlock the potential of your DevOps
Complete our quick dedicated assessment and get your very own personalised DevOps maturity score!
Start your free assessment

THE TECHNOLOGY EDGE: EARLY AI WINS PROVE POTENTIAL.

OUR AI-DRIVEN DEVOPS TRANSFORMS IT INTO AN ENDURING, COMPOUNDING ADVANTAGE.

Our Clients
Bread financial
expedia
just_RS
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Extend your edge

1. Discover

Assess AI readiness. Define value.
We assess your DevOps maturity through an AI lens to identify where AI can unlock the greatest impact. Through targeted workshops, we define high-value use cases and map how AI integrates into existing delivery workflows.

2. Realise

Embed AI into delivery
Working alongside your teams, we implement AI-driven workflows to automate testing, streamline and accelerate development and enhance delivery quality.

3. Transform

Sustain and scale performance
We embed governance, repeatable best practices and cultural alignment to ensure AI adoption is consistent, scalable, and continuously improving across teams

4. Support

Maintain the gains
Periodic re-assessment to ensure business goals of speed, quality and value are being met in the face of business and technology change.

Amplify DevOps performance with AI

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Accelerate delivery and improve quality

Inconsistent testing and coding practices increase errors and rework. We integrate AI to standardise acceptance criteria, automate repetitive testing tasks and generate ready-to-run unit test suites, enabling faster releases, fewer defects and more reliable software. 

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Clarify, validate and iterate ideas faster

Engineering teams are expected to deliver features and innovations at an ever-accelerating pace. We deploy AI to structure high-level ideas into clear requirements and generate rapid proofs of concept. By validating assumptions and identifying risks early, teams move from concept to delivery faster, with fewer unknowns.

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Increase engineering productivity

Repetitive manual tasks drain developer time. We harness AI to automate testing, code generation and pipelines, freeing engineers to focus on high-value work and maximising the return on every unit of engineering effort.

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Tackle rogue development 

Uncontrolled AI can amplify the worst habits of development teams and create siloed outcomes. We embed secure coding standards and structured prompting to keep AI use consistent and controlled. The result is consistently faster delivery without technical debt or security risk.

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Maximise return on engineering investment

Uncontrolled AI usage generates excess cost. We help you to identify where to apply AI so it delivers optimal value – reducing waste and increasing delivery capacity without increasing headcount or cost base. Value is tracked in terms of speed, quality and cost efficiency outcomes.

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From AI strategy to system integration

What Capacitas offers goes beyond AI strategy or simply deploying AI agents into your environment. Three decades of experience in technology optimisation gives Capacitas the depth of expertise to identify not just where AI should go, but exactly how to integrate it without disrupting what already works. 

Capacitas aren’t just consultants — they’re part of the easyJet team. Their embedded approach helped us modernise a mission-critical system with confidence.

Simon Prior

Global Head of QE – easyJet

We started with a high number of defects leaking in production. Across our journey with Capacitas we got 89% reduction in number of incidents. This is a metric we report at SLT levels monthly and that is a huge achievement and a huge benefit.

Giulio Saggese

Head of DevOps at UKHSA

FAQs

What is AI DevOps?

With AI for DevOps, we work closely with client teams to identify value-accelerating opportunities to integrate artificial intelligence (AI) into the software delivery lifecycle – to automate tasks, improve quality, accelerate delivery and maximise engineering efficiency.

Where do we use AI to deliver the most value in DevOps?

We apply our decades of experience in technology optimisation to locate exactly where AI can deliver the most significant performance gains for each client. Key applications across the software delivery lifecycle include:

  • Requirements analysis: Structuring high-level ideas into testable requirements with clearly defined acceptance criteria, reducing ambiguity and improving delivery quality.
  • Proof of concept generation: Rapidly translating concepts into working prototypes to validate assumptions early, reducing delivery risk and accelerating decision-making.
  • Automated testing: Increasing test coverage and consistency through AI-generated test cases, reducing defects and improving release reliability.
  • Code generation and assistance: Accelerating development by automating repetitive coding tasks, while improving consistency and reducing manual effort.
  • Pipeline optimisation: Improving efficiency by identifying bottlenecks, reducing friction in delivery workflows and accelerating release cycles.

How do you keep pace with rapid AI developments?

Our dedicated research and development team continuously experiments with emerging tools, stress-testing them in real-world contexts to identify how to apply them to unlock maximum performance value for our clients. This ensures our approach and the recommendations we make to clients are ahead of the curve, not catching up on it.

Our Private Equity channel has enabled us to work with some of the world’s largest technology-enabled organisations, with engineering teams of several thousand developers. Operating in these environments provides broad experience of applying AI tools and delivery models in a wide variety of operating contexts.

Together, this experience enables us to independently assess tooling vendors, ensuring our guidance is grounded in broad evidence, rather than vendor claims or isolated use cases.

How do you recommend where and how to use AI in DevOps?

Using our understanding of the DevOps delivery lifecycle, we identify where AI delivers the greatest business value, whether in testing, requirements, development or pipeline optimisation. We’ve also developed an extensive dossier of AI tools and technologies, categorising where they are best applied. This resource enables us to recommend the right solutions for your specific use cases and objectives.

We've had AI strategies before that didn't deliver. Why is Capacitas different?

Many firms define an AI roadmap or deploy tools into your environment and step back. Capacitas works differently. We’re consultants who are also engineers, so we design and implement. That means we don’t just identify where AI should go, we embed it into real systems, so it delivers measurable value without destabilising delivery. We go beyond strategy papers and execute with your teams.

Does AI DevOps work across sectors?

Yes. Our approach is effective across industries wherever software delivery, cloud platforms, and engineering performance are critical, including:



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