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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 2026
Artificial intelligence is moving beyond experimentation and becoming a core business capability. In 2026, organisations are focusing on practical deployment, measurable ROI, AI governance, and workforce integration. The emphasis is no longer on whether businesses should adopt AI, but how they can use it securely, efficiently, and at scale.
1. AI Agents Move Into Business Operations
AI is evolving from simple chatbots into autonomous agents capable of completing multi-step tasks with minimal human intervention. Businesses are beginning to deploy AI agents for customer service, scheduling, reporting, document management, and internal support functions.
Rather than simply generating content, AI agents can interact with systems, retrieve information, make decisions, and execute actions across business workflows.
2. Generative AI Becomes Standard Workplace Technology
Tools such as ChatGPT, Microsoft Copilot, Gemini, and Claude are becoming embedded within everyday business applications. Employees are increasingly using AI to draft emails, analyse data, generate reports, create content, and support decision-making.
For many organisations, AI is becoming as commonplace as cloud computing, video conferencing, and office productivity software.
3. Businesses Focus on AI Return on Investment
After several years of experimentation, organisations are placing greater emphasis on measurable business outcomes. AI projects are increasingly judged on productivity improvements, operational efficiencies, cost savings, and revenue generation rather than innovation alone.
Businesses are prioritising practical AI use cases that deliver clear and repeatable value.
4. AI Governance and Compliance Become Business Priorities
As AI adoption increases, organisations are strengthening governance frameworks to address security, privacy, compliance, and ethical considerations. Businesses must ensure AI systems operate transparently, securely, and in line with evolving regulations such as the EU AI Act and emerging global standards.
Governance is becoming a critical component of successful AI deployment.
5. AI Enhances Customer Experience and Support
AI-powered customer service continues to advance through intelligent chatbots, virtual assistants, predictive analytics, and personalised recommendations. Businesses are using AI to improve response times, increase customer satisfaction, and provide more consistent support across multiple channels.
Many organisations are now adopting hybrid support models that combine human expertise with AI-assisted service delivery.
6. AI Literacy Becomes Essential for Employees
Businesses are investing heavily in AI training and workforce development. Employees increasingly need to understand how to use AI effectively, assess AI-generated outputs, and work alongside automated systems.
AI literacy is becoming a core workplace skill, similar to digital literacy and cybersecurity awareness.
7. Data Quality Remains the Foundation of AI Success
Successful AI initiatives continue to depend on accurate, secure, and well-managed data. Organisations are investing in data governance, cloud infrastructure, integrations, and cybersecurity to ensure AI systems produce reliable outputs.
Poor-quality data remains one of the biggest barriers to achieving long-term AI value.
8. AI and Cybersecurity Become Closely Linked
As AI capabilities expand, both cybercriminals and security teams are leveraging the technology. Organisations are increasingly using AI to detect threats, automate incident response, identify vulnerabilities, and strengthen cyber resilience.
At the same time, businesses must prepare for more sophisticated AI-powered phishing attacks, fraud attempts, and social engineering campaigns.
In 2026, AI is no longer a future technology—it is a business technology. Organisations that combine strong governance, quality data, workforce training, and practical implementation strategies will be best positioned to realise long-term value from artificial intelligence.
AI Statistics and Insights (2026)
Artificial intelligence adoption continues to accelerate across industries, with organisations increasingly integrating AI into daily operations, customer engagement, cybersecurity, and decision-making. The latest research highlights several important trends shaping business adoption in 2026.
AI Adoption Continues to Grow
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Approximately 88% of organisations now use AI in at least one business function.
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Over 70% of UK businesses report using AI tools in some capacity.
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Generative AI adoption continues to expand across marketing, customer service, software development, and internal operations.
Businesses Are Prioritising AI Investment
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More than 80% of business leaders plan to increase AI investment over the next three years.
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Organisations are moving beyond experimentation and focusing on practical use cases that deliver measurable business value.
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AI spending is increasingly concentrated on automation, productivity enhancement, cybersecurity, and customer experience initiatives.
Productivity Remains the Leading Benefit
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Around 77% of businesses using AI report productivity improvements.
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AI is helping organisations reduce manual workloads, improve efficiency, and accelerate decision-making.
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AI copilots and automation platforms are becoming standard tools across many workplace functions.
Governance and Security Are Growing Priorities
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As AI adoption scales, businesses are placing greater emphasis on governance, compliance, and responsible AI use.
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Organisations are investing in AI policies, employee training, and security controls to reduce risk and maintain compliance.
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Cybersecurity teams are increasingly using AI-powered tools for threat detection, monitoring, and incident response.
AI Skills Are Increasingly Valuable
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Demand for AI-related skills continues to grow across technology, data, cybersecurity, and business operations roles.
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Organisations are investing in AI literacy programmes to ensure employees can use AI tools effectively and responsibly.
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Human oversight remains critical, with businesses focusing on collaboration between employees and AI systems rather than full automation.
What These Statistics Mean for Businesses
The data suggests that AI is no longer an emerging technology—it is becoming a standard business capability. Organisations that combine strong governance, quality data, workforce training, and clearly defined objectives are seeing the greatest benefits from AI adoption.
For SMEs, the biggest opportunities typically lie in productivity improvements, automation, customer service enhancement, cybersecurity, and operational efficiency. Businesses that establish an AI strategy today will be better positioned to remain competitive as adoption continues to increase.
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.
How AI Has Evolved Since 2024
Artificial intelligence has undergone significant transformation since 2024. What began as widespread experimentation with generative AI has evolved into enterprise-wide adoption, governance frameworks, and practical business applications delivering measurable results.
1. AI Has Moved Beyond Chatbots
In 2024, much of the focus was on conversational AI tools such as ChatGPT and Microsoft Copilot. Today, organisations are deploying AI agents capable of completing tasks, automating workflows, interacting with systems, and supporting business operations with minimal human intervention.
2. Businesses Now Demand Measurable ROI
Early AI adoption was often driven by curiosity and innovation. In 2026, organisations are increasingly evaluating AI initiatives based on productivity improvements, operational efficiencies, customer outcomes, and return on investment.
AI has shifted from a technology experiment to a business performance tool.
3. AI Governance Has Become Essential
As adoption has increased, businesses have introduced formal AI policies covering data security, compliance, privacy, transparency, and acceptable use. AI governance is now a core component of digital transformation strategies.
4. AI Is Becoming Part of Everyday Work
Employees across departments now use AI to support writing, research, analysis, reporting, customer service, and software development. AI is increasingly viewed as a workplace productivity tool rather than a specialist technology.
5. AI Skills Are Now Business-Critical
Organisations are investing in AI literacy programmes and employee training to help staff use AI responsibly and effectively. Businesses recognise that successful adoption depends as much on people as it does on technology.
6. Cybersecurity and AI Are Converging
AI is now playing a significant role in threat detection, security monitoring, vulnerability assessment, and incident response. At the same time, organisations must defend against increasingly sophisticated AI-powered cyber threats.
7. AI Infrastructure Has Matured
Businesses have invested heavily in cloud platforms, data governance, integrations, and security controls to support AI deployment. The conversation has shifted from "Which AI tool should we use?" to "How do we integrate AI securely across the organisation?"
Key Takeaway
Since 2024, AI has evolved from an emerging technology trend into a fundamental business capability. Organisations that combine strong governance, quality data, workforce training, and clear business objectives are achieving the greatest value from artificial intelligence.
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.
Written by:
Steve Harper
Commercial Director
Sources
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McKinsey & Company – State of AI Reports
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Gartner – AI and Digital Transformation Research
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Statista – Artificial Intelligence Statistics & Market Data
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IDC – AI Adoption and Enterprise Technology Research
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PwC – AI Business Impact Studies
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Deloitte – State of Generative AI Reports
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Microsoft AI & Copilot Research
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Google AI & Gemini Updates
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OpenAI Research & Product Announcements
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Anthropic (Claude) Research
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Salesforce AI Reports
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Amazon Web Services (AWS) AI Research
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World Economic Forum (Future of Jobs Report)
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LinkedIn Workforce Reports
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OECD Artificial Intelligence Research
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UK Government AI Policy & Regulation Updates
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National Cyber Security Centre (NCSC)
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Microsoft Security Research
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IBM Security Reports
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CrowdStrike Threat Intelligence
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Palo Alto Networks Research
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Business Insider
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DigitalOcean
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Hostinger
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Invoca
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Planable
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Shopify
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TeleVidedo
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ThoughtSpot
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Teneo AI
FAQs about AI
What is AI?
Artificial intelligence, or AI, refers to computer systems that can perform tasks normally associated with human intelligence. These tasks include analysing data, recognising patterns, generating content, solving problems, making predictions, and supporting decision-making.
How does AI work?
AI works by analysing data, identifying patterns, and using algorithms or machine learning models to make predictions, generate outputs, or automate tasks. Some AI systems can improve over time as they process more data, although business use of AI still requires human oversight, governance, and quality control.
How can businesses use AI?
Businesses can use AI across many areas, including customer service, marketing, sales, finance, cybersecurity, HR, operations, and reporting. Common examples include chatbots, email automation, data analysis, meeting summaries, document processing, fraud detection, and AI-assisted decision-making.
What are the benefits of AI for businesses?
AI can help businesses improve productivity, reduce manual workloads, speed up decision-making, enhance customer service, and identify insights from large amounts of data. For SMEs, the biggest benefits are often automation, improved efficiency, faster response times, and better use of existing business information.
Will AI replace jobs?
AI is likely to automate some repetitive tasks, but it is also creating demand for new skills and roles. In most businesses, AI is more likely to change how people work rather than fully replace employees. Human judgement, creativity, relationship-building, technical oversight, and decision-making remain important.
Is AI expensive to implement?
AI does not always require a large upfront investment. Many businesses already have access to AI through tools such as Microsoft Copilot, ChatGPT, Gemini, CRM platforms, helpdesk systems, marketing software, and analytics tools. Costs increase when businesses need custom AI systems, integrations, security controls, or advanced automation.
How can small businesses use AI?
Small businesses can use AI to automate admin, respond to customer queries, summarise meetings, draft emails, analyse customer data, support marketing campaigns, improve cybersecurity, and reduce repetitive manual tasks. The best starting point is usually a simple, low-risk process that saves time or improves service quality.
What are the risks of AI in business?
The main risks of AI include inaccurate outputs, data privacy concerns, security threats, bias, poor governance, and over-reliance on automated decisions. Businesses should create clear AI policies, train employees, protect sensitive data, and review AI-generated outputs before using them in important decisions.
Can AI be customised for my business?
Yes. Many AI tools can be customised using company data, workflows, integrations, prompts, templates, and automation rules. More advanced solutions can connect AI to business systems such as CRMs, helpdesk platforms, finance tools, and document management systems, although this should be done securely.
Is AI here to stay?
Yes. AI is becoming a standard part of modern business technology, much like cloud computing, cybersecurity, and automation. As tools mature, businesses are expected to use AI more widely across operations, customer service, marketing, analytics, and decision-making.
