AI Strategy
Our AI strategy service helps you navigate the adoption and integration of AI technologies. We can help you build a roadmap to make smarter decisions, improve business operations, and implement sustainable usage of Artificial Intelligence.
Companies who trust JB Tech
Building an AI Strategy
We develop AI strategies by working closely with your team, ensuring we fully understand how your processes work and your current pain points.
This approach allows us to design a tailored roadmap that balances immediate impact with long-term value, ensuring sustainable AI integration that matches business objectives and resource constraints.
AI is not an all-or-nothing choice, it's a long-term rollout of productivity improvements.
Our AI Strategy Approach
It can be as deep or light-touch as needed and focus on the business as a whole or on individual departments or even projects.
It can be as deep or light-touch as needed and focus on the business as a whole or on individual departments or even projects.
Understanding Business Objectives
his approach allows us to design a tailored roadmap that balances immediate impact with long-term value, ensuring sustainable AI integration that matches business objectives and resource constraints.
Assessing Current Capabilities
Next, we look at what’s already in place. This includes your existing technology, data infrastructure, and the skills of your team. We need to see if there are gaps, or if you’re already sitting on resources that can be leveraged for AI. It’s about understanding your starting point so we can figure out what’s realistic and what might need investment or training. This assessment helps avoid overpromising and makes sure we build on what you’ve got.
Identifying Quick Wins
Implementing AI doesn’t have to be a long, drawn-out process. There are often small projects that can show value quickly. These might be automating repetitive tasks or using data to make quicker decisions. By focusing on these “quick wins,” we can build momentum and confidence in AI. It’s a way to prove value early and get the team excited about the potential without waiting for big, complex implementations.
Data Readiness and Quality
AI relies on good data, so we need to assess how ready your data is for AI applications. This means looking at the quality, availability, and structure of your data. Is it clean and well-organized, or is it scattered across systems and hard to access? We also evaluate whether your data is sufficient to feed the AI models you want to build. This step is crucial because poor data can derail even the best AI strategies.
Governance and Compliance Assessment
AI introduces new challenges in terms of data privacy, security, and ethical use, so governance and compliance are critical. In this step, we review existing regulations and policies that apply to your business, such as GDPR or industry-specific standards. We plan out the steps to assess how your AI initiatives will align with these requirements and help establish frameworks for ethical AI usage, transparency, and accountability. This ensures that your AI strategy not only drives results but also adheres to legal and ethical standards, reducing risks down the line.
Creating a Long-term Roadmap
The final step is to develop a roadmap that prioritizes both short-term wins and long-term goals. AI is a journey, not a one-time project, so we map out how to scale and evolve the strategy over time. This roadmap includes timelines, milestones, and measurable outcomes to ensure we stay on track. It’s a flexible guide that can be adapted as your business grows and your AI needs change.
Our AI Strategy Approach
Our AI strategy approach is carried out over a series of face-to-face meetings and follow-up calls and conversations.
It can be as deep or light-touch as needed and focus on the business as a whole or on individual departments or even projects.
Understanding Business Objectives
his approach allows us to design a tailored roadmap that balances immediate impact with long-term value, ensuring sustainable AI integration that matches business objectives and resource constraints.
Assessing Current Capabilities
Next, we look at what’s already in place. This includes your existing technology, data infrastructure, and the skills of your team. We need to see if there are gaps, or if you’re already sitting on resources that can be leveraged for AI. It’s about understanding your starting point so we can figure out what’s realistic and what might need investment or training. This assessment helps avoid overpromising and makes sure we build on what you’ve got.
Identifying Quick Wins
Implementing AI doesn’t have to be a long, drawn-out process. There are often small projects that can show value quickly. These might be automating repetitive tasks or using data to make quicker decisions. By focusing on these “quick wins,” we can build momentum and confidence in AI. It’s a way to prove value early and get the team excited about the potential without waiting for big, complex implementations.
Data Readiness and Quality
AI relies on good data, so we need to assess how ready your data is for AI applications. This means looking at the quality, availability, and structure of your data. Is it clean and well-organized, or is it scattered across systems and hard to access? We also evaluate whether your data is sufficient to feed the AI models you want to build. This step is crucial because poor data can derail even the best AI strategies.
Governance and Compliance Assessment
AI introduces new challenges in terms of data privacy, security, and ethical use, so governance and compliance are critical. In this step, we review existing regulations and policies that apply to your business, such as GDPR or industry-specific standards. We plan out the steps to assess how your AI initiatives will align with these requirements and help establish frameworks for ethical AI usage, transparency, and accountability. This ensures that your AI strategy not only drives results but also adheres to legal and ethical standards, reducing risks down the line.
Creating a Long-term Roadmap
The final step is to develop a roadmap that prioritizes both short-term wins and long-term goals. AI is a journey, not a one-time project, so we map out how to scale and evolve the strategy over time. This roadmap includes timelines, milestones, and measurable outcomes to ensure we stay on track. It’s a flexible guide that can be adapted as your business grows and your AI needs change.
Get The Most From Your AI Strategy
Our team of experts can help guide you in long-term strategy, roadmaps, or smaller implementation, data, or governance-focused goals.
Clear Roadmap for AI Adoption
An AI strategy provides a structured plan for how and where to implement AI across your business. It helps prioritize projects based on value and feasibility, ensuring you focus on initiatives that deliver measurable impact quickly.
Alignment with Business Objectives
Cost and Risk Management
Governance and Compliance Framework
Why The Virtual Forge?
The Virtual Forge is a trusted, global software development company with a solid history of delivering comprehensive solutions for global brands, equipping diverse organisations with the finest technology available.
Innovation
Quality
Reliability
The Benefits of Having an AI Strategy
An AI strategy ensures that your organisation effectively uses AI technology to drive innovation and efficiency.
By creating a clear roadmap, aligning AI with business goals, and focusing on long-term scalability, an AI strategy positions you to take advantage of the full potential of AI while addressing challenges like ethics, governance, and resource management.
Enhanced Decision-Making
An AI strategy allows organisations to make data-driven decisions with greater accuracy and speed. By integrating AI into business operations, companies can use techniques such as advanced analytics and predictive insights to anticipate trends, optimise processes, and respond to changes faster.
Operational Efficiency
AI strategies allow businesses to streamline operations by automating repetitive tasks and optimising workflows. This leads to improved productivity, reduced costs, and more efficient resource allocation. AI can handle high-volume tasks with precision, freeing up human resources to focus on higher-value activities.
Scalability and Flexibility
Implementing an AI strategy ensures that AI initiatives are scalable and can evolve with the business. A strategic approach allows organisations to pilot AI projects, refine them, and expand their scope over time. This flexibility ensures that AI technologies can grow alongside the company, and the company can adapt as AI grows and develops.
Risk Mitigation and Ethical Governance
An AI strategy ensures that risks related to AI utilisation, such as data security, bias, and compliance, are proactively managed and audited. By embedding ethical guidelines and governance frameworks into the strategy, businesses can mitigate potential risks while ensuring AI systems remain transparent, accountable, and aligned with regulatory standards. This builds trust and minimises unintended consequences of AI use.
We support 5 business sectors, and we are expanding every year
Manufacturing
Our extensive knowledge in the manufacturing sector makes us a trustworthy partner for data-driven digital solutions.
Life Science
The Virtual Forge team has more than 20 years experience developing custom solutions for Life Sciences clients.
Automotive
We are experts in designing and developing data-driven custom software solutions for global brands in the automotive industry.
Financial Services
We can leverage our financial expertise to the most in-demand financial software. Our extensive range of customised financial solutions is specifically tailored to address the distinctive challenges faced by your business and sector.
Public Sector
The Virtual Forge is a trusted supplier of data-driven software solutions to Government and the Public Sector.
Case studies
What Our Clients Say About Us
The Virtual Forge successfully delivered a working prototype of the dashboard, meeting our expectations. The team responded quickly to requests and modifications, and they were hands-on, knowledgeable, and receptive throughout the project.
Geir Arne Evjen
CTO
Working with The Virtual Forge made everyone enjoy being part of the project. It never felt like two separate teams, but just one big team. Everything felt natural, easy, even when there were challenges.
Heather Read
Head of Systems Integration
The Virtual Forge’s work has lowered our system downtime and fastened the turnover of tickets on the help desk. The team has executed updates correctly and maintains communication via emails and messages. The Virtual Forge’s Co-CEO participation in the project has been crucial.
Tom Blades
Head of Systems Integration
Working with The Virtual Forge was a pleasure. The relationships that we build, quite quickly, led to a really lovely experience. The whole team was highly efficient, creative and tactical.
Toby Lewis
Senior Manager, Collaboration Strategy
Their collaborative approach fostered a sense of partnership and trust, where our voices were heard and our vision was respected.
Rosanna Turk
Co-Founder
The Virtual Forge Partners
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