Adopting AI in your business
From conversations with leaders, we understand it can be confusing to know where to begin with implementing AI in your business. We help you get started.
People-First Framework
90% of AI initiatives fail. Largely due to organisations buying the technology and not having key aspects in place, such as data infrastructure, clear business goals, not integrating AI effectively into existing workflows and resistance to change.
We believe that starting with your teams and employees helps with buy-in and informs training and upskilling programmes that fit your company’s needs.
We bring everyone on the journey with us and set you up for when we leave.
From Microsoft Copilot to Claude
We’re providing basic AI training to get your team familiar with using AI on a daily basis to develop AI-first habits. We understand that the AI landscape is confusing and overwhelming. We can train you on the basics across a range of AI tools: Copilot, Gemini, ChatGPT and Claude, and use cases such as sales and marketing, business case development and market analysis.
We analyse your workflows to understand how AI to be used to increase efficiencies and co-create tools with key stakeholders. We guide you on successful pilots to evaluate whether to implement.
Collaborative Approach
We work with key stakeholders to ensure AI is being implemented responsibly, for example, alongside your IT Services department and legal to create best practices and policies. We guide and advise, but you are responsible for taking these key areas forward and maintaining them.
Involving your leaders is key in demonstrating a top-down approach to aid uptake across the business. In addition to showing support to AI champions that can instil an AI-first culture, managing change and innovation.
Our track record
“We can’t imagine not using Copilot in our everyday work.”
This is a recent quote we’ve had from a customer that we’ve worked with, where we delivered Copilot training.
From world-leading brands to SMEs, we’ve worked with a range of different-sized businesses to implement AI using an employee-led approach. Most AI implementations fail because companies focus on the technology instead of the people using it.
We take the opposite approach: employee-led AI adoption that starts with actual workflows, not hypothetical use cases. Our clients get trained on AI tools and they identify where AI solves real problems in their day-to-day work, and build the capability to keep improving.
Chloe coaches leaders 1-2-1 on AI implementation, trains teams on practical AI use, and is a group coach on the TechUP AI programme. She's worked at an AI product studio, with early-stage startups that use AI in their products, and helped SMEs adopt tools like Copilot. AI isn't theoretical at Sharp Insight. We use it across our whole business, from research design to grant applications.
The validation methodology you see across our services is the same approach we use for digital transformation and using AI in businesses. We help your people discover where AI actually creates value, then build adoption from there.
Proud to partner with SMEs and Enterprises in their digital transformation
To introduce new ways to utilise AI in the business, we conducted an AI training session in the morning and employed Six Thinking Hats across the teams to identify potential applications of AI, with continued adoption through innovation pathways in the business.
"The AI workshop was a game-changer for our business. It gave our team practical, basic AI training and a safe place to start thinking about adopting AI tools in a way that helped them do their roles more effectively. Using the Six Thinking Hats framework, we explored AI’s opportunities and risks, identifying real use cases tailored to our needs. The group activities meant that the teams could collaborate and create their own solutions for using AI in their processes. Starting our AI journey with this collaborative style worked for our business culture as we didn't want it to feel top-down.
The day ended with an individual pledge to start using ChatGPT, the session provided immediate, actionable steps for responsible AI adoption. We left feeling ready to start using AI by the end and we started to see the use of AI after the workshop across the business."
Former CEO, GrantTree
Ahead of time, employee research was carried out to understand the needs in the process of where to automate and use AI, then bringing the business together to introduce and test AI use cases.
“Implementing AI into our marketing function has been a game-changer. Through AI training and working together under Chloe's guidance, we co-developed a CustomGPT tailored to support the content generation and re-purposing process.
This has transformed how we work as a team, increasing our capacity to meet the demands of a growing business by offsetting lower-level tasks to AI. What used to take hours can now takes minutes, allowing our marketing team to focus on other higher-impact activities and creativity rather than repetitive content drafting. The CustomGPT maintains brand consistency, aligns with our voice and messaging, and has significantly improved prompt efficiency.
It was easier to implement than I thought. We've increased productivity, reduced time spent on tasks and now have an AI assistant that empowers our team. We’re very happy with the outcome"
Group Marketing Manager, MPA
We delivered an AI hackathon to identify use cases. The morning comprised of deep diving challenges, with an afternoon of ideation. The next day, meeting with stakeholders to create a product roadmap to prioritise AI projects and training.
“Two big things that came out of the hackathon were how we could use AI to support our sales funnel, and how we can look at feeding in data from our customer test drives and calls to Dealers to understand what the booking lead time is. Doing this means we can get AI to analyse how to reduce the time between customers needing assistance and receiving it. It’s certainly a long-term project, but it was good to get the conversation started.
Since the hackathon, we’ve done some ‘lunch and learn’ sessions, with F2F and remote participation, and I’ve definitely seen more people using AI. For example, someone in my team recently created a Dealer survey using AI, so it’s great to see people using it in a more positive way.”
Head of Service Quality, Mercedes-Benz Vans
We’re currently delivering an AI adoption programme with a UK automotive enterprise, managing 85+ users across multiple departments.
The challenge: Data fragmented across legacy systems, teams stretched thin, variable AI literacy across the business, and no time to pause for training. Leadership wanted to leverage AI for efficiency but needed a realistic approach that worked within their constraints.
Our approach: We started with discovery interviews across leadership and team surveys to understand where AI could create a genuine impact. We then delivered focused training sessions on AI fundamentals, followed by hands-on workshops for license holders covering practical application across their daily workflows.
The outcome: Teams are now actively using AI for email management, meeting notes, competitor analysis, and document interrogation. More importantly, the business has developed an internal capability to continue building AI thinking independently. We're continuing support in the this year with face-to-face clinics to troubleshoot challenges and develop specific use cases as adoption deepens.
