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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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  • Home
  • Agenda
  • Tickets
  • Trailblazing Tech Award 2025
  • 2025 Speakers
    • Andrew Aldridge
    • Dr. Ali Alameer
    • Tom Cheesewright
    • Dr Penny Traynor
    • John Toon
    • Padmasini Dayananda
    • Jayden Patel
    • Joe Van Gelder
    • Lauren Birch
    • Angie Lloyd-Jones
    • Julie Burnage
    • Kate Longworth
    • David Gardner
    • Zahraa Murtaza
    • Sophie Zienkiewicz
    • Sohail Ashraf
    • Sam Booth
    • Simon Groom
    • Sourav Dey
    • Thorrun Govind
    • Tom Sharpe
    • Toby Sinclair
    • Mabel Sanchez Barrioluengo
    • Martin Leigh
    • Michael Jakubiak
    • Nicola Jones
    • Nicola McCormick
  • Sponsors
    • Aventive Group
    • Beever and Struthers
    • Bruntwood SciTech
    • University of Salford
    • The University of Manchester
    • Innovate UK Business Growth
    • TLT LLP
    • Summit
    • KAO Data
    • interactive investor
  • Watch TT24!
  • Contact Us
  • BLOG