“ 1. Summary of R&D activity/project Our project is based on a combination of quantitative and qualitative research into behaviour assessment, prediction and change. Typically, an individual’s behaviour and predicted ability to perform a given task or set of tasks in business, has been assessed either through: informal methods - gut feel, informal assessments using question and answer techniques, structured questionnaires or informed third party opinion e.g. an individual’s line manager. Formal methods - using competency based interview frameworks and or psychometric, numerical, verbal, diagrammatic questionnaires. We have specialised in using the latter for the core of our business transformation work. We have built our own assessments - previously provided by third party organisations - around our own IP. We felt that the traditional assessments, in particular the science behind psychometric and intellect measures, lack relevance to the job at hand of assessing real potential in a human being. Further, these assessments and their approach, are more than 30 years old and there has been little revision of assessment methods or technology during this time. As a result, we have spent the last 18 months investing in the research and development of values, motivation and intellect as concepts developing our own criteria and methods for assessing these attributes and developing state of the art technology to assess them accurately and effectively on a volume scale. 2. The scientific/technological aims of the project Our objectives within the research and development are: To develop insight and fully understand the methods and science used in individual behavioural assessment and psychometric testing to date To create newer, up to date and more relevant criteria and methods for assessing the concepts of values, motivation and intellect. To build our own assessments and revise traditional methods to reflect our findings. To develop new technology to assess and measure the criteria on a large scale. …”
“We do of course appreciate that certain aspects of our client’s research activity, namely that which comprises research into human behaviour, does not qualify for R&D Tax Credit relief. We provided details in the claim of such background activity in order to contextualise the technology development and we apologise if that was not made clear. In fact, most of the ‘non-qualifying’ research was carried out in earlier years and the focus is now (since 2013) on building the technology which forms the basis for the claim. We confirm that the costs we have included in the claim relate purely to the development of application technology designed to create re-usable and scalable online products that deliver the benefits envisaged by the behavioural research. This is particularly challenging; there are no other products available addressing these objectives and it has been by no means clear that it would be possible to create a technological solution to what has historically been a manual or consultancy process. Our client is now beginning to see positive results with a number of client pilot test sites. The products are still in prototype. But ultimately, if successful, these products will provide low cost tools for large and small businesses alike to vastly improve their human resource functions with much higher retention rate and matching of capabilities to job roles and hence productivity. …”
“Thank you for clarifying that tour client’s claim was in relation to the development of the technology for an online product. That is not what the R&D Activity Summary from Optimal Compliance focuses on. Please can you advise me who within the company decided that they had carried out a qualifying project for R&D Tax relief in the first place? I would then like to know who the competent professional in the project was, as well as their background and qualifications. Please…provide details of the advance that your clients sought from the competent professional, and advise in which particular field of science of technology it took place. I would also like to hear about the uncertainties that they encountered during the course of the project from the competent professional involved. Finally, please provide a detailed breakdown of the costs involved in the claim under the appropriate headings of Staff, Externally Provided Workers, Subcontractors, Software and consumable items. Please will you provide me with these details by20 May 2016 .”
“1. Who within the company decided that they had carried out a qualifying project for R&D Tax relief, and how they came to make an application for the relief in the first place. I would then like to know who the competent professional in the project was, as well as their background and qualifications. 2. A ‘project description’ from the competent professional, and advise in which particular field of science or technology it took place. I would also like to hear about the uncertainties that they encountered during the course of the project from the competent professional involved. 3. A detailed breakdown of the costs involved in the claim under the appropriate headings of Staff, Externally Provided Workers, Subcontractors, Software and consumable items. …”
“1. The R&D claim was suggested by Optimal Compliance Services LLP (OCSLLP) who have worked as consultants with AHK Recruitment Ltd (AHKRL) for a number of years. The application was completed by OCSLLP with information supplied by AHKRL. Gareth Jones is the competent professional at AHKRL. He is currently in his fifth year there as Head of Innovation and Technology. Before that he spent two years as a Technical advisor to Technology Start-Ups and five years in another company as Operations Director overseeing the Technology and Marketing Divisions. 2. See attachment 3. We set out below a breakdown of the Consumable Costs included in the Claim… … 4. We set out below a breakdown of the Subcontractor Costs included in the claim.... … See appendix 1 for a breakdown of Staff Costs. …”
“1. Details of how the claim was compiled and confirmation of how it came about. 2. The qualifications that Gareth Jones has that makes him a competent professional in the field of science or technology in which the advance was made. 3. A copy of the project description that was not provided when expected in November. What is required is set out in the document enclosed. 4. Details of who the sub-contractors were and what activities they carried out towards the R&D project.”
“…Clearly this claim has gone a bit awry and I have got involved to try to bring it back on track. From what I could see a project description had been provided and there were some queries which we had attempted to resolve, but now we seem to be back at square one. [My colleague] tells me that he and one of our technical consultants had a conference with the person at the client who we understood was the key person there, but that this did not result in us reaching a conclusive position which everyone felt comfortable with, hence the delay. I do apologise for this, but we probably need a bit of guidance from you before we do further work or send over further clarifying information. That is why I would very much appreciate the opportunity to talk through on the phone…”
“Company owns a piece of intellectual property which allows for the prediction of human performance in the workplace…this is done through algorithms and the application of the IP…The R&D claim is all in relation to software development…The R&D involves complexity of code and algorithms. They have not produced any new coding.”
“It was agreed that the competent professional would submit his report outlining the R&D activity that has taken place by9 June 2017 , along with the contract with the sub-contractors.”
“Following the meeting we have re-worked the 2014 R&D claim in light of your advice and also done the 2015 claim. The 2015 claim and revised CT return and computation have been submitted electronically…we are not able to do likewise for the 2014 claim so please can you accept the attached as the revised submission… We have enclosed a single narrative report on the project which we have prepared in consultation with the company which covers both years.”
“ Background Historically, the ‘human judgment’ element in the recruitment process which assesses soft skills such as personality, motivations and social interaction has been observed manually (face to face) by its very nature. This is the aspect we are automating and building into the software. Through our research into human behaviour, we have huge banks of data that we are looking to program into unique ‘DNA code’ for each individual. Getting the technology to make a good judgment call is where the challenge lies and is where the algorithms become even more powerful and intelligent. Digitising and coding the data has proved challenging and human interaction can never be completely replaced in the recruitment process. However, results so far have been encouraging and we expect that the work will continue over a number of years with iterative development, testing and refinement. The ultimate objective is to provide a highly effective low cost solution to the universal problem of matching people with jobs. In the past we have done this using our own unique methods based on the concept of ‘what great looks like’, which can be very different for different job roles and different cultures/organisations. However, our clients for this service have been large organisations that can afford a bespoke consultancy project, typically costing several£100 ks. The ultimate success of our project will be determined by whether we can deliver the same benefits to the SME market at a fraction of the cost through automated tools. Our work is not only with UK based clients but also internationally, and this represents a further extension to the automation challenge because different cultures throw up nuances of interpretation which require different approaches to the development and refinement of the coded algorithms. This is a long term project. The first early activities on the project can be traced back to 2011, but the serious work got underway in 2013. We partnered with our major clients as beta-test sites…The early working versions of test products proved unusable, with great divergence between the results produced by the software as compared with the human judgments - which was the primary testing strategy. Over time we have achieved an encouraging level of convergence to the point where the software is, as of 2017, proving to be at least a useful supporting tool. But there is a long way to go before we find out whether our ultimate aspirations can be achieved. The Project Specifics The project aim is to revolutionise the current recruitment and assessment of individuals for job roles by developing innovative software that uses data driven thinking, coupled with intelligent algorithms, to establish individual ‘DNA’ profiles for candidates AND ‘DNA’ profiles for each unique role within an organisation, and be able to automate the match between the two. This is designed to find the best people for a given job role based on criteria (values, motivations, behaviours) determined by the client. This subjectivity is something that has been identified as missing from the technology and online tools that are currently available. Traditional methods and recruitment software have always used a number of generic methods to determine candidate suitability for an organisation or role. The two core ones are: Tests or questions which have a yes/no answer. Typically, these include competency based interview questions, psychometric, numerical and verbal tests. Our view is that these tests are very generic and classify people into pre-determined categories. Skills or experience based matching systems. These focus purely on practical or professional skills and what the individual has done before. The limitation of this approach is that skills and experience are the least reliable predictor of potential in a given role. Ultimately, we hope to get to a point whereby we embed data mining, scraping, and machine learning into the process. Taking unstructured data, such as profiles from Facebook and Twitter, could allow the framework to be even more intelligent. The diagram below illustrates these aspirations. Early Attempts The core challenges facing [the Appellant and its parent company] and the technical team can be summarised as: Step one. Being able to code our values, motivations and behaviour frameworks in a way that would drive a unique and automated What Great Looks Like profile (WGLL) for the individual Step 2. Code the values, motivations and behaviour frameworks in order to produce an automated and unique WGLL profile for the role in question specifically contextual to that role in that organisation i.e. spoke Step 3. Code a system that can accurately match the two, and can sift out those are not suitable to an acceptable level of accuracy. Step 4. To be able to do the same matching and assessment capability for existing employees and create a machine learning loop that will ‘learn’ what high performance looks like and will be able to feed that back into the recruitment module, allowing ‘real time’ and automated adjustments to be made dynamically to the applicant screening assessments. This blend, combining bespoke, unique profiles for individuals and roles, and ‘joining’ this assessment journey up to create a data driven machine learning loop that can adjust the profiles in real time has never been done before. Our initial attempts to blend these together have had mixed results. We have managed to achieve steps 1 and 3. As yet, we've been unable to address Step 2 to create an automated process using an effective algorithm that will automatically drive out the WGLL profile for the role. This is currently still largely created and entered into the platform manually. In our effort to try and create a machine learning loop between the employee and applicant profiling we created an initial step which is to automate the WGLL matching process for existing employees. We deployed the first version of this in 2013 but after significant use and testing we have had to withdraw this from field testing. This refers to the core challenge referred to above as Step 4. At this stage, we do not know when or if we will be able to complete this machine learning loop and deploy the technology across the employee lifecycle. Continuing Research and Development Increasingly we will be exploring how we can move away from collecting data on individuals through a ‘user interface’ towards analysis of the individual ‘digital footprints’. We have been researching and testing this approach over the last two years with a distinct goal to eliminate the need for an individual job applicant or employee to complete any form of psychometric or cognitive questionnaire. Early results are encouraging but we are still in the testing stages. This work is supplemental to the main project and whilst the digital footprint work will undoubtedly add a significant level of complexity to the technology work, the requirement still exists to complete steps 1 - 4 above. …”
“I have now completed my check of the company’s return. This letter is a closure notice issued under Paragraph 32, Schedule 18 ofFinance Act 1998 . My decision Having carried out a review and having an officer not previously involved in this case carry out a further review, we accept that the claim was made in good faith. However, as I have explained, I have not received an adequate project description of R&D activity, and therefore I deem the project to fall outside the scope of a qualifying project for R&D tax credit purposes according to our guidelines. In the circumstances, I shall now give effect to the removal of the claim and note my records accordingly. …”
“… I was awaiting a report from the competent professional outlining the R&D activity that had taken place, along with a copy of the contract with the subcontractors. Thank you for the report, however this once again appears to be all about the framework and the difficulties of defining the important factors for a job applicant, or job holder rather than pushing the boundaries of known technology. Little is mentioned regarding the advances that were required in IT to achieve the digitisation of the framework. The digitisation and coding of data in and of itself is not considered by the guidelines relating to software, CIRD81960, to be likely to involve R&D activity. Therefore what I require from the competent professional is an explanation of the advances he sought in IT and the uncertainties he encountered in attempting to make those advances and how he sought to overcome them.”
“The project is an attempt to use technology to appreciably improve the HR function and recruitment processes…work to date has gone beyond routine analysis and methods in recruitment and had required the resolution of technical uncertainties relating to both overall feasibility and practical implementation of a software based automated systems, approach. … The project attempts to use machine learning (“ML”) technology to go far beyond what is currently available. The aim is to achieve massive cost and efficiency gains by automating the most judgment-heavy aspects and so reduce necessary human intervention. There are no commercial solutions or combinations of existing technologies which address this problem in any comparable way. … We would like to clarify the use of the term ‘coding’ in the report. In order to build the attempted technology, it has been necessary to perform investigatory system analysis…as currently conceived, the attempted advance will require the automatic, unsupervised measurement of individuals and roles by their attributes. As such the codification of the framework into a machine-understandable format is foundational. …”
“I require the advance in the overall knowledge or capability in a field of science or technology to be made clear, along with the state of knowledge at the outset, the technical uncertainties encountered by the competent professionals, and what the result was at the end of the period.”
“…the overarching aim of the project was to build a computer system capable of making human-level judgments about a candidate’s suitability for a role and other recruitment matters. At the time the project was undertaken the competent professionals did not believe this had been achieved elsewhere and thus it would represent an increase in the overall capability in automation technology and other related fields. … Given the level of expenditure on the project, competence of the professionals involved and the fact that it was ongoing without the core aims having been met, it seems reasonable to conclude that more than minor or routine changes to technology were involved, and thus an appreciable improvement on the status quo was attempted. This was the opinion of the competent professionals at the time. These key technology staff with an understanding of the system are no longer with the business. We are making efforts to reach them for further details of the technological uncertainties, which we believe have been provide in summary already…”
“(1) In this Part “relevant research and development” , in relation to a company, means research and development— (a) related to a trade carried on by the company, or (b) from which it is intended that a trade to be carried on by the company will be derived. (2) Research and development related to a trade carried on by a company includes— (a) research and development which may lead to or facilitate an extension of the trade, and (b) research and development of a medical nature which has a special relation to the welfare of workers employed in the trade.”
“a) its qualifying expenditure on in-house direct research and development (see section 1052 ), and (b) its qualifying expenditure on contracted out research and development (see section 1053 ).”
“(1) A company's “qualifying expenditure on in-house direct research and development” means expenditure incurred by it in relation to which each of conditions A, B, D and E is met . (2) Condition A is that the expenditure is— (a) incurred on staffing costs (see section 1123 ), (b) incurred on software or consumable items (see section 1125 ), (c) qualifying expenditure on externally provided workers (see section 1127 ), or (d) incurred on relevant payments to the subjects of a clinical trial (see section 1140 ). (3) Condition B is that the expenditure is attributable to relevant research and development undertaken by the company itself. … (5) Condition D is that the expenditure is not incurred by the company in carrying on activities which are contracted out to the company by any person. (6) Condition E is that the expenditure is not subsidised (see section 1138 ). …”
“(1) A company's “qualifying expenditure on contracted out research and development” means expenditure— (a) which is incurred by it in making the qualifying element of a subcontractor payment (see sections 1134 to 1136 ), and (b) in relation to which each of conditions A, C and D is met. (2) Condition A is that the expenditure is attributable to relevant research and development undertaken on behalf of the company. … (4) Condition C is that the expenditure is not incurred by the company in carrying on activities which are contracted out to the company by any person. (5) Condition D is that the expenditure is not subsidised (see section 1138 ).”
“..the definition of R&D for tax purposes follows generally accepted accounting practice…the accountancy definition is then modified for tax purposes by these Guidelines, which are given legal force by Parliamentary Regulations. These Guidelines explain what is meant by R&D for a variety of tax purposes, but the rules of particular tax schemes may restrict the qualifying expenditure.”
“R&D for tax purposes takes place when a project seeks to achieve an advance in science or technology. The activities which directly contribute to achieving this advance in science or technology through the resolution of scientific or technological uncertainty are R&D. Certain qualifying indirect activities related to the project are also R&D…”
“An advance in science or technology means an advance in overall knowledge or capability in a field of science or technology (not a company’s own state of knowledge or capability alone). This includes the adaptation of knowledge or capability from another field of science or technology in order to make such an advance where this adaptation was not readily deducible. … Even if the advance in science or technology sought by a project is not achieved or not fully realised, R&D still takes place. If a particular advance in science or technology has already been made or attempted but details are not readily available (for example, if it is a trade secret), work to achieve such an advance can still be an advance in science or technology. However, the routine analysis, copying or adaptation of an existing product, process, service or material, will not be an advance in science or technology. Scientific or technological uncertainty exists when knowledge of whether something is scientifically possible or technologically feasible, or how to achieve it in practice, is not readily available or deducible by a competent professional working in the field. This includes system uncertainty. Scientific or technological uncertainty will often arise from turning something that's already been established as scientifically feasible into a cost effective, reliable and reproducible process, material, device, product or service. Uncertainties that can be readily resolved by a competent professional working in the field are not scientific or technological uncertainties. Similarly, improvements, optimisations and fine-tuning which do not materially affect the underlying science or technology do not constitute work to resolve scientific or technological uncertainty. …”
“What counts is whether there is an intention to achieve an advance in science or technology, not whether ultimately the associated scientific or technological uncertainty is completely resolved, or resolved to the degree intended. Scientific or technological planning activities associated with projects which are not taken forward (e.g. because of insurmountable technical or commercial challenges) are still R&D.”