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AI Overview
We provide services such as IT Support for Financial Services, support for Professional Services, and more. We help businesses harness the power of artificial intelligence by implementing practical, scalable solutions such as Microsoft Copilot and other AI-driven tools to improve efficiency, decision-making, and customer experience.
AI adoption is now firmly mainstream across industries. Organisations are integrating AI into core business functions, including operations, customer service, marketing, and analytics. This shift is enabling faster processes, improved insights, and more personalised digital experiences.
The rise of generative AI is accelerating this transformation. Businesses are using AI-powered tools to automate routine tasks, enhance productivity, and support data-driven decision-making. As adoption grows, AI is becoming a key driver of innovation and competitive advantage.
Investment in AI continues to increase, reflecting its strategic importance. Organisations are moving beyond experimentation and embedding AI into long-term business strategies, with a focus on scalability, governance, and measurable outcomes.
However, challenges remain. Many organisations are still in the early stages of AI maturity, with barriers including data quality, integration complexity, security risks, and workforce readiness. Addressing these challenges is essential to unlocking the full value of AI.
As AI capabilities continue to evolve, businesses that adopt a structured, responsible approach will be best positioned to improve efficiency, drive innovation, and remain competitive in a rapidly changing digital landscape.
AI Trends 2025
Artificial intelligence continues to evolve rapidly, reshaping how businesses operate, engage with customers, and drive efficiency. In 2025, key trends are focused on generative AI, enterprise integration, governance, and real-world business impact.
1. Generative AI Becomes Embedded in Everyday Work
Generative AI is now widely integrated into business workflows. Tools such as ChatGPT, Microsoft Copilot, and Gemini are being used across content creation, software development, and internal operations—helping teams automate tasks and improve productivity.
2. AI Moves from Experimentation to Business Strategy
AI is no longer a standalone innovation initiative. Organisations are embedding AI into core business strategies, using it to support decision-making, optimise operations, and drive long-term growth across multiple departments.
3. AI Enhances Customer Experience at Scale
Businesses are using AI to deliver more personalised and responsive customer interactions. From intelligent chatbots to predictive recommendations, AI is enabling real-time engagement and improving customer satisfaction across digital channels.
4. Responsible AI and Governance Take Centre Stage
As adoption grows, so does the need for responsible AI use. Organisations are prioritising governance frameworks, transparency, and compliance—focusing on explainability, bias reduction, and alignment with evolving regulations.
5. AI Transforms the Workforce
AI is reshaping roles and workflows rather than simply replacing jobs. Employees are increasingly working alongside AI tools, with organisations investing in upskilling, AI literacy, and new roles focused on data, automation, and oversight.
6. AI Copilots and Automation Drive Productivity
AI copilots are becoming standard across business applications, assisting with tasks such as writing, analysis, coding, and reporting. This shift is helping organisations streamline processes and reduce manual workloads.
7. Data and AI Infrastructure Become Critical
Successful AI adoption depends on strong data foundations. Businesses are investing in data quality, cloud infrastructure, and integration to ensure AI systems deliver accurate and reliable outputs.
AI in 2025 is no longer just about automation—it is about integration, scalability, and measurable business value. Organisations that align their strategies with these trends will be best positioned to unlock innovation and maintain a competitive edge.
AI Statistics
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Around 70–80% of organisations now use AI in at least one business function.
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Over 60% of businesses are actively using generative AI tools.
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Organisations are increasingly deploying AI across multiple business functions, including operations, marketing, and customer service.
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More than 80% of executives plan to increase investment in AI over the next few years.
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The global AI market is projected to exceed $300 billion in 2025, with strong continued growth.
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The AI software market is expected to grow at 20%+ annually through 2030.
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The UK AI market continues to expand rapidly, driven by enterprise adoption and innovation investment.
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AI adoption is delivering measurable benefits, including improved efficiency, cost reduction, and faster decision-making.
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AI-powered automation is helping organisations reduce manual workloads and operational overhead.
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Customer-facing AI tools—such as chatbots and recommendation systems—are increasingly used to enhance engagement and user experience.
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Businesses are prioritising responsible AI, governance, and data security as adoption scales.
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AI is driving demand for new skills and roles, particularly in data, engineering, and AI governance.
AI adoption is accelerating across industries, transforming how organisations operate, compete, and innovate. From automation and analytics to customer experience and decision-making, AI is becoming a core component of modern business strategy.
When choosing an IT provider, businesses should ensure they understand both the opportunities and risks of AI adoption. See our Outsourced IT Support page for more information.
IT Desk and AI
Background
At IT Desk, we’ve always been committed to using the best technology available to improve efficiency, security, and service delivery. As AI tools became more accessible, we took an early adopter approach, integrating them into our business to see firsthand how they could help.
AI Implementations
1. Microsoft Copilot Adoption
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Pilot Phase: As an early adopter of Microsoft Copilot, we first rolled it out to a small group of managers and our security team. This allowed us to test for security concerns, and we quickly discovered that without proper permissions, Copilot could access confidential company data. Thanks to this proactive approach, we ensured that when it was fully implemented, all security protocols were in place.
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Full Implementation: With permissions set, Copilot was deployed across the business, and all employees received licenses. The feedback has been overwhelmingly positive:
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"An amazing addition to our existing Microsoft tools."
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"It has enabled me to perform my tasks much more efficiently."
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"Copilot has been an absolute lifesaver for managing my emails."
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We might sound biased, as AI is one of our key selling points, but we’re not promoting it just for the sake of making a sale. We’re selling it because we genuinely believe in AI’s potential and where it will take businesses in the next few years. Our own experience has only reinforced that belief.
2. Scribe Integration
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What it does: Scribe is a documentation tool that records on-screen processes, making it easy to create step-by-step guides.
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Impact: It has transformed how we document internal procedures, saving time and improving knowledge sharing across teams.
3. TaleVideo for How-To Content
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How it helps: TaleVideo records screen interactions, zooming in on key actions and following the cursor for clarity.
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Usage: We use it in our marketing department to create tutorial videos for our YouTube channel and client resources, making technical content easier to digest and easier, quicker to create.
4. AutoPod for Podcast Production
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Purpose: AutoPod is an AI plugin for Adobe Premiere Pro that significantly reduces editing time for podcast content.
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Benefit: It has cut podcast editing time by up to 75%, allowing us to consistently produce high-quality content for our podcast, Tech IT to the Max - watch or listen here.
Outcomes
✅ Increased Efficiency: AI-powered tools have automated repetitive tasks, freeing up employees to focus on strategic work.
✅ Better Documentation: Scribe and TaleVideo have streamlined internal processes and enhanced client support materials.
✅ Content Creation Boost: AutoPod has accelerated podcast editing, allowing us to release episodes faster.
Conclusion
AI has genuinely changed the way we work—not just in theory, but in practice. These tools have allowed us to improve efficiency, enhance security, and focus more on what truly matters: delivering value to our clients. We believe AI is the future of business, and we’re not just saying that—we’re living it.
External AI Case Studies - Repurpose
Background
Repurpose is an eco-friendly brand offering compostable home and kitchen products. Competing in the consumer goods market, Repurpose sought to enhance its competitiveness and operational efficiency through the adoption of AI technologies.
AI Implementations
1. Financial Process Automation:
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Challenge: Managing financial processes manually was time-consuming and prone to errors.
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Solution: AI was employed to automate financial tasks, reducing manual intervention and increasing accuracy.
2. Marketing Optimisation
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Challenge: Optimising marketing campaigns to effectively reach and engage customers.
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Solution: AI tools were utilised to analyse customer data and automate marketing strategies, leading to more targeted and efficient campaigns.
3. Employee Evaluation Streamlining:
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Challenge: Conducting employee evaluations was resource-intensive and lacked consistency.
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Solution: AI facilitated the automation of performance evaluations, ensuring a more streamlined and objective process.
Outcomes
✅ Operational Efficiency: The integration of AI allowed Repurpose's finance team to save significant time, aligning with their sustainability mission by eliminating paper processes.
✅ Competitive Edge: Despite being a 21-person company, AI enabled Repurpose to scale operations and compete with larger brands effectively.
✅ Sustainability Commitment: AI adoption supported Repurpose's eco-friendly mission by reducing reliance on paper and streamlining processes.
Conclusion
By embracing AI, Repurpose enhanced its operational efficiency, maintained its commitment to sustainability, and strengthened its position in a competitive market.
Notable Changes in AI (2024-2025)
Artificial intelligence has evolved rapidly in recent years, moving from early adoption to widespread business integration. The following changes highlight how AI has developed between 2024 and 2025.
1. Generative AI Becomes Widely Adopted
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Generative AI tools such as ChatGPT, Gemini, Claude, and Microsoft Copilot are now widely used across businesses. What began as experimentation has quickly become part of everyday workflows, supporting content creation, development, and internal operations.
2. AI Becomes a Core Business Strategy
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AI is no longer limited to automation use cases. Organisations are embedding AI into core business processes, using it to enhance decision-making, improve efficiency, and deliver more personalised customer experiences.
3. AI Investment and Market Growth Surge
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Investment in AI continues to grow rapidly, with businesses allocating larger portions of their IT budgets to AI initiatives. This reflects a shift from short-term pilots to long-term strategic deployment.
4. AI Reshapes the Job Market
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AI is transforming how work is done rather than simply replacing roles. Organisations are focusing on human–AI collaboration, investing in upskilling and new roles in areas such as data, governance, and AI operations.
5. AI Regulation Gains Momentum
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As AI adoption increases, so does the need for oversight. Businesses are prioritising ethical AI use, transparency, and compliance, aligning with evolving regulations and governance frameworks.
6. AI Moves Closer to Real-World Impact
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AI is delivering more measurable business value. Organisations are moving beyond experimentation to real-world applications in areas such as operations, customer service, analytics, and automation.
7. AI and Cloud Become Closely Linked
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AI adoption is increasingly tied to cloud infrastructure. Businesses are relying on scalable cloud platforms to deploy, manage, and integrate AI solutions across hybrid environments.
In a short period, AI has shifted from an emerging technology to a central driver of business transformation. Organisations that adapt to these changes will be better positioned to innovate, improve efficiency, and remain competitive in an AI-driven economy.
How IT Desk stay up-to-date with AI
At IT Desk, staying ahead of the curve isn’t just something we talk about—it’s something we actively build into our culture. As a Microsoft Partner, we’re regularly invited to exclusive Microsoft Copilot training sessions, ensuring we stay up-to-date with the latest features, security updates, and best practices straight from the source.
But we don’t stop there.
We proactively monitor trusted resources, including Microsoft Learn, the AI Safety Institute, the Alan Turing Institute, and other leading voices in the AI and cybersecurity space. Through our vendor partnerships, we also receive early access to new tools, whitepapers, and real-world implementation guides, which we test internally before rolling them out to clients.
We also believe learning should never be a one-off. That’s why we’ve built AI knowledge-sharing into our internal processes—from team huddles to lunch-and-learns—so our entire team can stay informed and confident using AI responsibly and effectively.
Our commitment to continuous learning means we don’t just use AI—we understand it. And that helps us guide our clients through the ever-changing digital landscape with clarity, confidence, and care.
IT Desk's AI Policies
As an ISO 27001 and 9001 certified company, we’ve developed an Artificial Intelligence Acceptable Use Policy to ensure our employees are using AI appropriately. The purpose of this policy is to establish guidelines and standards for the ethical and responsible use of AI technologies within the business. The aim is to ensure that AI is implemented in a manner that respects privacy, maintains data security, and aligns with regulatory requirements. By defining acceptable and unacceptable practices, the policy helps mitigate risks associated with AI, including bias, misuse, and unintended consequences, this fostering trust and integrity with AI-driven processes and decisions.
Headline AI Statistics
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Around 70–80% of organisations now use AI in at least one business function.
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Over 60% of businesses report using generative AI tools such as chatbots, copilots, or automation platforms.
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Organisations are increasingly embedding AI across multiple departments, including operations, customer service, and marketing.
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More than 80% of companies plan to increase investment in AI over the next few years.
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Despite rapid adoption, only a small proportion of organisations (around 10–20%) consider their AI capabilities to be fully mature.
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The global AI market is projected to exceed $300 billion in 2025, with strong continued growth expected.
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The broader AI software market is forecast to grow at 20%+ annually through to 2030.
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The UK AI market continues to expand rapidly, supported by increasing enterprise adoption and government investment.
Written by:
Steve Harper
Commercial Director
Sources
Business Insider, Statista, Shopify, WEF Future of Jobs, Digital Ocean, Planable, PwC, Teneo AI, Invoca, Springs Apps, ThoughtSpot, Hostinger, McKinsey, ChatGPT, Scribe, Talevideo, Autopod, Microsoft, Salesforce
FAQs about AI
What is AI?
Artificial Intelligence (AI) refers to computer systems that can perform tasks that typically require human intelligence. This includes problem-solving, learning from data, recognising patterns, and making decisions.
How does AI work?
AI works by analysing large amounts of data, identifying patterns, and using algorithms to make predictions or automate tasks. Some AI systems can learn over time, improving their accuracy without human intervention.
How can businesses use AI?
Businesses use AI for a variety of tasks, including:
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Automation – Reducing manual work in processes like customer service, HR, and finance.
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Marketing & Sales – Personalising ads, emails, and customer interactions.
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Data Analysis – Finding insights from large datasets to improve decision-making.
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Cybersecurity – Detecting fraud, security threats, and suspicious activities.
What are the benefits of AI for businesses?
AI helps businesses by:
✅ Increasing efficiency and reducing costs through automation.
✅ Improving customer experience with chatbots and personalised recommendations.
✅ Enhancing decision-making with data-driven insights.
✅ Reducing errors in repetitive tasks.
Will AI replace jobs?
AI will automate some repetitive tasks, but it is also expected to create more jobs than it replaces. Businesses will need skilled workers to manage AI systems, analyse AI-generated insights, and develop new AI-driven innovations.
Is AI expensive to implement?
Not necessarily. Many AI tools, such as chatbots and automated marketing software, are affordable and accessible to small businesses. Larger AI systems that require customisation may be more costly, but the return on investment (ROI) is often high.
How can small businesses use AI?
Small businesses can use AI for:
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Automated customer service (e.g., chatbots).
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Social media & email marketing automation.
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Smart analytics to understand customer behaviour.
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AI-powered scheduling & admin tools to save time.
What are the risks of AI in business?
While AI has many benefits, businesses should be aware of:
⚠️ Bias in AI – AI can make unfair decisions if trained on biased data.
⚠️ Security threats – AI-driven automation can be targeted by cybercriminals.
⚠️ Regulations – Businesses must comply with evolving AI laws and ethical standards.
Can AI be customised for my business?
Yes! Many AI solutions can be tailored to meet the specific needs of your business. Whether you need AI for customer service, data analysis, or automation, there are tools available that can integrate with your existing systems.
Is AI here to stay?
Absolutely. AI adoption is increasing rapidly, with 72% of organisations already using AI in at least one area. As technology improves, AI will continue to evolve and become even more useful in business operations.
AI is no longer just for tech giants—it’s an accessible tool that businesses of all sizes can use to work smarter, not harder.
