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The Rise of AI in UK Accounting: Blending Technology with a Human Touch

5/22/2025

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​Author: Bec Hesketh, Assistant Audit Manager


The world of accounting is changing in exciting ways. Where once spreadsheets and manual processes ruled the day, new technologies like generative artificial intelligence (AI) are now opening up fresh possibilities. These tools are helping accounting firms work more efficiently and support clients in new and dynamic ways.


We're proud to be working on an exciting project funded by Institute of Chartered Accountants Scotland (ICAS), exploring how AI is impacting professional judgment. It's a fascinating collaboration with leading professors from the University of Manchester and Aston University, and we're thrilled to contribute to such an important area of research.

Supporting Professional Skills with Smart Tools
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Generative AI, such as ChatGPT, can quickly produce summaries, responses, and insights based on the information it's given. This can be incredibly helpful when it comes to managing large volumes of data or finding a starting point for further research. That said, no matter how fast or clever these tools may seem, they don’t replace the depth of knowledge and careful judgement that accountants develop through years of experience and ongoing learning.

Even the most advanced AI can occasionally produce results that aren’t quite right. That’s why it’s so important for professionals to double-check AI-generated outputs, especially when it comes to providing advice based on financial data. The role of the accountant remains vital in interpreting this information and making sure it’s accurate and appropriate for each client’s unique situation.

The Importance of People
While technology continues to evolve, the heart of accounting lies in strong relationships. Many clients prefer speaking directly with someone who knows their business and understands what matters most to them. Being able to ask questions, share concerns, and receive personalised guidance is something AI simply can’t replicate.

Empathy, clear communication, and human connection are at the core of great client service. These qualities help build trust and ensure clients feel supported every step of the way, something we take great pride in at Beever and Struthers.

Embracing AI for Operational Efficiency
AI really shines when it comes to streamlining repetitive or time-consuming tasks. Whether it’s bookkeeping, data entry, or reconciling accounts, many of these processes can now be handled more efficiently with the help of AI-powered software. Platforms like Xero, Sage, and Silverfin are already incorporating these tools to help teams work smarter, not harder.

By freeing up time on the admin side, accountants can focus on the work that makes the biggest difference, such as helping clients plan for the future, solve complex challenges, and achieve their financial goals.

Good Judgement Still Matters Most
At its core, accounting is about using good judgement and professional scepticism to ensure information is reliable and accurate. AI doesn’t have the benefit of experience or context, and it certainly doesn’t know what it feels like to help a client through a tough financial moment. That’s why it’s so important to view AI as a helpful assistant, not a decision-maker. We will always need to review, question, and interpret the results that AI tools provide, using their knowledge and experience to guide clients in the right direction.

Keeping Data Safe and Sound
One area where care is especially important is data protection. Accountants work with sensitive information every day, and ensuring that data is kept safe and secure is a top priority. While some AI tools come with strong security features, it’s crucial to make sure that no private information is shared that could risk client confidentiality.
Clear policies, thoughtful data handling, and trusted systems all help to protect client information and maintain compliance with regulations like GDPR. As firms begin to explore AI’s potential, strong governance around data privacy is more important than ever.

Looking Ahead
At Beever and Struthers, we’re excited about the opportunities that AI presents, but we also believe that people will always be at the centre of great accounting. By embracing new technology thoughtfully and responsibly, we can deliver even greater value to our clients, while staying true to the personal service and integrity that have always defined our approach.

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Rethinking Education: Innovation in learning design through technology

5/22/2025

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Author by Trevor Humphreys- Business Engagement Manager for Lifelong Learning and Professor Angela Davies- Academic Lead for Lifelong Learning

In today’s fast-paced, technology-driven world, higher education must evolve to stay relevant. Universities are not only tasked with teaching and assessing students using modern tools—they must also prepare learners for the rapidly changing needs of the workforce. This demand requires bold innovation in both learning design and the use of cutting-edge technologies.

Innovation in learning design: A necessity, not a luxury

Higher education institutions can no longer afford to treat digital transformation as a future goal, it’s a present imperative. From AI and big data to immersive virtual simulations, technology is transforming how knowledge is delivered, accessed, and applied. Teaching and assessment strategies must keep up with this wave of innovation to remain effective.

But it’s not just about using the latest tools. It’s about rethinking the design of learning itself. Innovative learning design means creating experiences that are flexible, inclusive, and deeply aligned with the real-world challenges learners face. Having these experiences is particularly vital in an age where learning needs to be lifelong, continuous, and adaptable.

The role of industry in shaping learning

To ensure relevance, higher education must stay closely connected to industry trends and technological advances. Staying relevant not only means using technology in teaching but also training students and staff in the tools and methods shaping today’s workplaces.

The University of Manchester is pioneering this approach through its Pathfinder Programmes, a flagship initiative in Flexible and Lifelong Learning. These programmes are built around a novel co-design model that puts industry at the centre of course development.

Pathfinder Programmes: A new model for innovation

Rather than academics designing content in isolation, the Pathfinder Programmes bring together university researchers and industry professionals in structured co-design workshops.
The result? 50-hour micro-credentials that are academically rigorous, directly relevant to industry needs, and immediately applicable to real-world challenges.

Each of the current programmes under development focuses on a unique industry challenge in collaboration with a major partner:
  • Faculty of Biology, Medicine & Health with AstraZeneca: Exploring the Use of Generative AI in Complex Organisations
  • Faculty of Humanities with Fujitsu: Advancing Digital Sustainability
  • Faculty of Science & Engineering with Tesco: Addressing Sustainability and Net Zero in Fashion

By embedding continuous evaluation and feedback into each course, this model promotes ongoing innovation and ensures learning stays relevant as industries evolve.

​Global access, local impact

Technology allows education to transcend traditional boundaries. With innovative delivery models, these micro-credentials can be accessed by learners across the globe—supporting professionals who need flexible, on-demand learning that fits into their careers and lives.

Set to launch with pilot cohorts in September 2025, and a full release in January 2026, the Pathfinder Programmes promise to reshape how universities and industries collaborate. This agile learning framework supports both career development and sector-wide evolution, ensuring learners are equipped not just for today, but for tomorrow’s challenges.

The future is now
The future of education lies in the fusion of academic insight, technological innovation, and real-world application. With initiatives like the Pathfinder Programmes, The University of Manchester is setting a new standard for how we educate, collaborate, and innovate.

If you would like to know more about the professional and lifelong learning opportunities at the University then please contact [email protected] or visit the website  
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Five top tips for AI governance

5/14/2025

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Author: Tom Sharpe, Partner AI & Technology, TLT LLP

There’s a lot of hype around the transformative potential of AI. However, in our experience, the last twelve months has seen a big shift: from hype to reality. AI is now something that businesses are implementing at speed, and as a result is crossing many in-house legal team’s desks on a daily basis.
Boards are keen to realise the cost saving potential of AI, tech teams are keen to embrace the cutting-edge possibilities of what AI can achieve, with legal teams being left in the middle trying find a path to safe, responsible and compliant use of AI.

At the heart of any AI programme is AI governance, but given the numerous challenges presented by AI, knowing where to start can be difficult. In this article, we provide our five top tips on how to get AI governance right.

1. Get the right people in the room

AI, whilst having huge transformative potential, presents a wide range of legal challenges. As such, an AI governance committee should include voices from all relevant aspects of a business, not just the IT and legal teams. IT team, for input on the technical realities of AI Legal team, to advise on how to stay compliant with the changing law (including representatives from all aspects of legal, given the legal considerations around AI transcend numerous legal areas, for example, intellectual property, regulatory and data protection) Risk team, to help navigate the cybersecurity challenges posed by AI Management team, to ensure business objectives and brand values are upheld; and Procurement team, to ensure that policies and procedures around AI are reflected within the businesses procurement processes.

2. Get the balance right

Whilst there are many legal factors to consider when deploying AI within your business, a successful AI governance programme will seek to balance assessing those risks and the potential benefits that AI can bring to your business.

If processes and procedures, for example risk assessments of particular AI use cases, become too burdensome, bureaucratic or lengthy then this may dissuade potential AI implementation which could positively impact your business.

Guardrails around the use of AI should fundamentally, in our view, be realistic and workable.

3. Stay up to date

Your AI governance framework should cover the entire AI lifecycle (not just initial procurement and implementation) and be periodically updated to ensure this reflects both best practice and any changes in laws. As such, implementing an AI governance framework is not a “set and forget” exercise. Dynamic governance is crucial to enable a business to benefit from the most innovative and developed forms of technology, whilst remaining compliant with the changing rules and regulations.

Additionally, AI technology and the laws that govern it are evolving quickly. As such, AI policies and procedures need to be regularly monitored and updated to reflect changes in the AI regulatory ecosystem. Businesses should therefore stay active, track any changes in law and align policies and procedures accordingly and efficiently.

4. Improve AI literacy

You should ensure that all your staff receive training on what policies are in place around AI, the relevant guardrails that should be observed when using AI and what procedures need to be followed when requesting / approving a new AI tool or use case.

Additionally, the best AI governance examples we have seen contain AI literacy programmes. AI literacy is not about turning everyone in your business into AI experts, but instead means upskilling your employees to be able to understand, use and interact with AI responsibly and safely.

The level of AI understanding and knowledge required will vary across your business depending on the role and responsibilities of each individual. For an effective AI governance programme, it is important for all employees to be able to make informed decisions about AI technologies, understand their implications, and navigate the ethical considerations they present.

Fundamentally, AI literacy is not just good business practice, it is also a legal requirement under certain regulations, such as the EU AI Act.

5. Start small and precise

Barely a week goes by without a new and exciting AI product being launched onto the market. The speed of change, and progress, is staggering. In line with that trend, the past 12-24 months has seen a proliferation in the number of AI tools on the market. Given this, the temptation can be to procure a number of AI tools and then see how they might benefit your business. In our view, the best approach is the opposite: define your use case and then procure an AI tool that meets that specific – and clearly defined – need. Taking this approach will allow you to build and tailor your business' AI governance programme in a way that fits with the type and nature of both your use cases and the AI tools you are looking to procure.

If you’d like to learn more about how TLT can support you on your AI journey, visit our AI In Focus page, or get in touch with one of our experts below.

Additional Authors – Michelle Sally, Commercial Lawyer, TLT LLP
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Automate Everything: How to ditch the boring tasks so you can focus on the work you enjoy

5/12/2025

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By Mark Barrett, Data Science & Automation Consultant at Beever and Struthers

If you look on LinkedIn today, you will see post after post about AI. It’s true, AI is a game-changer, but it’s only one facet of the digital space right now. There are a lot of other things you can do that could add value to your business (and I say that as a Data Scientist).
Automation is one of those key areas where that can help your existing team to work smarter, not harder. The good news is that there are a range of tools out there that are easy to use and can help you become more efficient
The hidden cost of busywork

In any busy accounting firm (or indeed any business) there are routine tasks that must be completed no matter how painful, time consuming and monotonous they might be. For us, there can be a lot of manual work needed for entering data, cross-checking records between systems, applying password protection to files, logging into HMRC to confirm payments, deadlines – the list goes on. What often goes unnoticed is how these small tasks, repeated day after day, take up a significant amount of time and cost. Beyond the costs of manual tasks, teams have the mental strain of pressing deadlines, navigating through numerous systems, and ensuring the information collected is correct and up to date.

Why automation is achieveable

Automation tools are often called “no code” tools as you can drag and drop different apps and services into a flow to get them to work together. Zapier for example has a library of over 7,000 different apps that you can set up and together in less than a minute with no coding required. You can connect your Microsoft tools, to your Customer Relationship Management (CRM) tool, to your Marketing tools, to your Business WhatsApp account and so on.

Initial quick wins:

Automate meeting summaries

If you have an online meeting in your calendar with an external client, you can create a meeting summary and action list using fireflies.ai. With automation added, it can send the summary to everyone on the call,  add the summary to your CRM, and add your tasks to your to do list (I like ““Amazing Marvin”” but Trello is also excellent). Once it’s set up, it just runs in the background saving you time every time you have a meeting, and helping you stay focussed on the actions.

Automate project set up

Before automation, every new project request required manually reviewing a form, creating a card in Monday.com with all the details, setting up a folder in SharePoint, and sending a confirmation email back to the requestor. By buildings Zapier flow, we automated each of these steps to save roughly two hours per project and eliminated any confusion could arise by standardising the process.

Connect to APIs to get the latest information 

As an accounting firm, we are used to manually logging into HMRC to verify VAT returns have been submitted before their deadlines and have been paid by our clients on time too. By creating a script – we can check the HMRC API to understand if any of our clients have unpaid returns.

The team now receives an automated report each morning detailing anyone with a pressing deadline or if they have missed their deadline. This automatic reassures us that all clients are monitored so we can get in touch if there is a pressing matter that needs addressing.
Return on Investment

When you quantify the impact of an automatic there are several ways to calculate it – time saved, additional revenue generated, staff happiness improvements – the key is to measure it all and report it back to the business to show impact and to show how the team is using the time saved to add value in the other more productive areas of the business.

Getting started with automation

Try to create a simple automation for your own purposes first – you might want a WhatsApp message to trigger on your phone when five minutes before it is due to end so you can make sure you get some actions from it. Have a play with it, see what you can make, and then get to work on a business task.

For your first workflow, map out a manual task that your team dreads most. Identify the tools they use to complete the task and see if you can connect them to Zapier. Once connected, see how you can create a workflow that will help them – you’ll be surprised how easy it is and of course if you get stuck there are plenty of YouTube tutorials, and ChatGPT is good at advising too, and often suggests other tools that you may not have heard of before.

There are endless possibilities to creating simple automations, and with the tools being so easy to use, the only limit is your imagination…
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    • David Gardner
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    • Sohail Ashraf
    • Eleanor Harry
    • Sam Booth
    • Simon Groom
    • Sourav Dey
    • Thorrun Govind
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    • Toby Sinclair
    • Mabel Sanchez Barrioluengo
    • Martin Leigh
    • Michael Jakubiak
    • Nicola Jones
    • Nicola McCormick
    • Ben Davies
    • Amul Batra
    • Naomi Timperley
    • Rachel Kenyon
    • Fiaz Sadiq
    • Katherine Megson
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    • Sirka Moore
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    • Beever and Struthers
    • Bruntwood SciTech
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