R&D Tax Credits: Artificial Intelligence AI

AI and machine learning have rapidly evolved from emerging technologies to mainstream business investments. In recent years, software companies have increasingly integrated AI and machine learning capabilities into their products, services, and processes to drive innovation, improve efficiency, and to stay competitive within their industry.   

Behind this growth sits significant upfront investment, not just in cost, but in time and resource. For many companies, this innovation activity creates an opportunity to claim R&D tax relief, provided their AI projects are qualifying. For AI to be eligible as R&D for tax credits, the project must still meet the same R&D tax credit qualifying criteria as any other development project.

Whilst the assumption is that AI projects are considered clear-cut in terms of eligibility, AI is often one of the more complex industries to claim R&D tax credits within. Often questions arise in the form of where the IP sits and IP ownership and surrounding if there is genuine uncertainty for a company undertaking AI assisted research. This is why enlisting expert advice is essential, to ensure that the project is carefully evaluated as to its suitability for R&D tax credits.

Does your AI project qualify for R&D tax relief: What does HMRC look for in AI R&D claims?

AI projects are assessed under the same core R&D definition and criteria as any other sector.

To qualify, a project must:
• Seek to achieve an advance in science and/or technology
• Involve the resolution of technological uncertainty
• Require work that could not be readily deduced by a competent professional in the field

Put simply: Your developers must be trying to achieve something they didn’t know how to do at the outset, and which couldn’t be readily worked out by a competent professional using publicly available information.

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Why choose RCK Partners for AI R&D tax credits?

Onboarding the right R&D tax advisor directly impacts the success, value and compliance of your claim to the DSIT guidelines, so it’s important to choose a partner who not only understands the legislation but also has industry-specific knowledge of the project claim.

Dedicated AI team

At RCK, we've built a dedicated AI team, comprising engineers, software consultants and senior advisors within the sector. The speed of AI technology advancement is why working with a team whose knowledge is up to date is essential to ensure adherence to the DSIT guidelines.

Compliance expertise

Our in‑house compliance team includes former HMRC inspectors, a lawyer, and accountants who have reviewed claims from both sides of the process.

Advisory excellence

As an additional advisory layer, RCK Partners have built the Innovation Advisory Council (IAC). A network of advisers who bring a wealth of experience from their respective industries. Their advice is grounded in first-hand understanding and provides deep, up-to-date, sector-specific insight that complements the knowledge of RCK’s existing teams.

IAC member, MB Christie, advises RCK’s AI team as well as R&D tax credit industry expert, Paul Rosser.

Worked example of qualifying and non-qualifying R&D tax projects within the AI sector:

*Please note: These examples are designed to provide guidance only. The example below is illustrative and not definitive. R&D tax credit eligibility needs to be discussed on a case-by-case basis. Please speak to one of our team to discuss your specific circumstances.  

Get clarity on your project, speak to an R&D expert.

Project: A FinTech company improved AI speech recognition in low-bandwidth scenarios by implementing existing edge-based technology.

FinTech – Qualifying

  • A FinTech company which had already implemented AI-powered speech recognition to improve the security of their systems was noticing that the technology worked well when the customer was using a device with adequate internet bandwidth however, it frequently failed when limited bandwidth was available.
  • The company researched how to resolve this challenge via off-the-shelf solutions and found several vendors who offered edge-based speech recognition where voice authentication takes place on the device without the need for a connection to the company’s system.
  • After implementing this technology, despite the solution significantly improving the speech recognition of their platform for users with low internet bandwidth a new issue emerged.
  • After going live, they noticed the issue that when this voice verification took place it was more susceptible to spoofing, whereby where a fake AI generated voice is used to impersonate the customer.
  • The company discovered that this was an industry-wide limitation with no existing solution and launched a project to address this.

Why this could qualify:

This project would be likely to qualify for R&D tax relief, as the company has identified a known issue with all technologies of this type, there is no known solution, and if successful it would represent an advance for the field of edge-based speech recognition technology.

Key qualifying factor: Attempting to solve an industry‑wide technical challenge with no existing solution.

FinTech – non-qualifying

  • A FinTech company which had already implemented AI-powered speech recognition to improve the security of their systems was noticing that the technology worked well when the customer was using a device with adequate internet bandwidth however, it frequently failed when limited bandwidth was available.  
  • The company researched how to resolve this challenge via off-the-shelf solutions and found several vendors who offered edge-based speech recognition where voice authentication takes place on the device without the need for a connection to the company’s system.  
  • After implementation, the solution significantly improved the speech recognition of their platform for users with low internet bandwidth.

Why this likely wouldn’t qualify:

This project is unlikely to qualify as the company researched and then implemented existing technology rather than advancing it.

Key disqualifying factor: The company researched and implemented existing edge‑based speech recognition technology but did not attempt to resolve any unresolved technological uncertainty or advance the underlying technology.

What AI costs are eligible to claim for?

Eligible expenditure typically includes staff time, subcontractors, cloud computing, data processing, and software costs directly involved in resolving AI‑related technical uncertainty.

Staffing costs

This is for staff on payroll who worked on the qualifying R&D projects. The staff costs that can be claimed upon are: salaries, bonuses, pension contributions, NI contributions and staff training costs.

Consumables costs

Related to raw materials which are used up, wasted, destroyed, or cannot be returned to their original state in the R&D process e.g. fuel, metals, chemicals, power, manufacturing gases and prototypes developed.

Outsourcing/Externally provided workers (EPWs)

This relates to costs related to obtaining staff through a staff providing company (i.e. an umbrella company).

Subcontracting costs

Incurred when a company has engaged a third party to undertake some activities e.g. specialist testing (NDT) and validation.

Software costs

This relates to software licence costs used for the R&D activities e.g. Solidworks, Abaqus, ANSYS etc.

Data and cloud computing

Expenses related to data and cloud computing services (accounting periods beginning on or after 01/04/2023)

SME
RDEC
Microchip image to represent the software industry which can claim for R&D Tax Relief.
Case study

Project objective and background:  

Aims: Development of an Agentic AI based utilising Active Inference (a way of understanding sentient behaviour—a theory that characterises perception, planning, and action in terms of probabilistic inference) for use in the navigation and control of autonomous robots.

  • Qualifying expenditure

    £550k

  • R&D Tax Credits Generated

    £150k

Microchip image to represent the software industry which can claim for R&D Tax Relief.
Case study

Project objective and background:  

An extended reality (XR) company’s R&D efforts focused on pioneering an interactive and monetisable audience engagement platform for live music performances, integrating immersive mixed reality, real-time streaming and gaming mechanics. The project faced significant technological challenges in synchronising cross-platform streaming for AR/VR environments, developing an advanced AI-enabled audio analysis system, and creating a scalable, dynamic content delivery pipeline. Existing solutions lacked the real-time synchronisation, compatibility, and interactive capabilities required for seamless artist-audience engagement. The development team tackled uncertainties related to machine learning scalability, secure data retrieval from Mixpanel, and latency mitigation, requiring iterative experimentation and bespoke software development. Through resolving these challenges, the project successfully delivered a production-grade cloud backend, a Twitch Extension with latency-mitigating UI, and seamless integrations within the Unity game engine—establishing a new technological benchmark in audience engagement for the music industry.

  • Qualifying expenditure

    £580k

  • R&D Tax Credits Generated

    £155k

Microchip image to represent the software industry which can claim for R&D Tax Relief.
Microchip image to represent the software industry which can claim for R&D Tax Relief.

RCK’s AI Team

RCK is proud to support the UK AI Sector by delivering best-in-class R&D advisory services. We ensure that companies contributing to innovation within the UK are fully leveraging R&D Tax Credits and empowering them to innovate rapidly and grow sustainably.

MB Christie

RCK Advisor and NED at Open Banking Ltd, MONY Group plc, and Social Finance, Inc, previously led digital product transformations at Financial Times, Rightmove, Tech Nation and Simply Business.

MB Christie is a product and operations leader with over 25 years’ experience as a Product and Operations Leader. She has held senior leadership roles at organisations including the Financial Times, Rightmove, Simply Business, TUI Group, and Tech Nation. MB's executive experience includes serving as Chief Product Officer at Simply Business, Chief Operating Officer at Tech Nation, Digital Product Director at TUI Group, and Product Director at the Financial Times, where she played a key role in leading the organisation’s transition from print to digital. MB currently serves as a Non-Executive Director at MONY Group plc, Finsbury Growth & Income Trust plc, Social Finance Inc, and Open Banking, bringing deep expertise in digital strategy, governance, and scaling innovation. A former journalist, MB began her career as a foreign correspondent for several US newspapers and was named one of Cranfield School of Management’s Top 100 Women to Watch in 2018. MB joined RCK as an advisor due to her passion for innovation and her commitment to helping product leaders strengthen their business cases through R&D tax credits.

Paul Rosser

Partner (External)

Paul is a R&D software consultant and industry commentator who has joined RCK as a contractor in a Partner position. At RCK, Paul focuses on R&D tax credit software consulting while also representing RCK Partners more broadly across the wider market. RCK operates a layered advisory model, to which Paul contributes by adding in-depth sector expertise as RCK expands its senior capabilities to meet growing client demand across innovation-led and technology-driven sectors. In addition, Paul is the founder of R&D Consulting Ltd and has worked in R&D tax relief, I.T. and digital forensics over the last two decades, he is widely recognised for his deep technical knowledge and principled approach to advising on complex claims. Outside of RCK, Paul undertakes investigative and reporting work. In recognition of his impact, Paul has received the Outstanding Contribution to Tax by an Individual award at the 2025 Tolley’s Taxation Awards. He is widely regarded as a central in driving higher standards within the industry.

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Alex Gook

Partner

Alex joined RCK as our first ever graduate hire back in 2021 and has progressed to the role of a commercial Partner. With nearly five years of experience within the R&D tax credits sector, Alex works with a diverse range of clients from early-stage startups to established enterprises, and has a focus on the AI sector. His client-centred approach to the role has allowed Alex to form strong networks with both clients and professional service providers.

Edward Jenner

Senior Account Executive

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Gajan Ganeshalingam

Principal Consultant (Software & Dual-Use Technology)

Gajan is a Principal Consultant at RCK Partners, specialising in complex, software-led R&D across VC-backed technology companies, deep-tech start-ups, and dual-use organisations. He leads end-to-end R&D delivery for claims within the technology sector, translating advanced engineering projects into compliant claims that deliver commercial value. Since joining RCK, Gajan has played a key role in building the firm’s software-focused R&D capabilities, enabling the secure onboarding and delivery of work for large multinational and emerging multinational technology companies. More recently, he has helped establish RCK’s dedicated defence and dual-use R&D offering, supporting organisations operating in highly regulated and sensitive industries. Gajan works closely with CTOs, engineers, and founders to coordinate technical inputs, assess system design and technical risk and translate complex engineering work into robust, defensible R&D submissions. To date, he has delivered over 300 R&D claims within the SME, RDEC, ERIS and Merged Schemes.

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Saifur Rahman

Software Advisor (External)

Sai Rahman is an External Software Advisor at RCK Partners, bringing over 7 years of experience in R&D tax with a primary focus on software and IT companies, including FTSE 100 clients. He holds a master’s degree in computer science, specialising in network engineering and machine learning, and has a background in software engineering with hands-on experience developing networking applications and SaaS for professional services industry. At RCK, Sai provides technical leadership on complex software claims, drawing on deep expertise across enterprise-level software engineering, artificial intelligence and machine learning systems, big data infrastructure, and telecommunications.

India George

Marketing Executive

Talk to an AI R&D tax credit adviser:

If you’re developing AI technology and aren’t sure whether your work qualifies, RCK can provide a clear, bespoke breakdown of your eligibility.

Whilst AI projects may seem like clear-cut R&D eligible for UK tax relief, it is often one of the more complicated industries to claim on. From where/who the IP actually sits with, to whether there is genuine uncertainty for a company undertaking AI assisted research, there are a number of pitfalls claimants must be aware of to ensure their claim is compliant.

Book a no‑obligation discussion with our AI R&D team.

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