AI Fast Lane

AI Fast Lane Modules

Audit your existing AI capabilities

If you are already using AI within your business, our audit will help you get a clear view of your current AI activity, existing tech stack and potential growth areas, which can be essential for creating an effective AI strategy.

By interviewing key stakeholders and mapping your tech stack and AI activity, we aim to gather essential insights. This information will feed into a detailed document covering your current AI usage, the tech configuration, potential concerns from your stakeholders, areas for improvement, and the aspects of your business that will benefit most from AI.

Create your AI Strategy

The AI Strategy will guide your AI development journey, ensuring that every decision is aligned with your organisational goals and values. We will help you create an industry-leading strategy taking into account:

How we embed your brand values into an AI solution
Ethics and safety considerations relevant to your industry
How we deliver a joined-up approach across your organisation
Helping you build a defensible 'AI moat'
Helping you securely use private data in AI systems
Ensuring you remain vendor and platform independent
Delivering a simple user experience for your customers and your team

Identify AI use cases

Using the insights from the Audit and your AI strategy we will identify the most impactful and relevant AI applications for your unique needs.

Some examples of Generative AI uses cases include:

Providing personalised experiences
Automating content generation
Building custom Q&A systems on private data
Asking questions of your data in natural language
Streamlining repetitive tasks
Building AI agents to carry out tasks for you

Our process does not stop at identification. We also evaluate the feasibility and potential ROI of each use case, providing you with a well-rounded view of how AI can give you a strategic advantage.

Build and deploy AI use cases

Our team of experts will turn your AI use cases into cutting-edge Generative AI solutions using platforms such as OpenAI (GPT3.5/GPT4), Midjourney, DALL-E, and Stable Diffusion.

Our consultants, designers and developers will support this process as necessary. They can either build new Generative AI powered digital solutions or integrate Generative AI into your existing digital solutions (e.g. your intranet or internal communications platform).

Our end-to-end approach ensures tailored AI models catering to your requirements. We develop, configure, and train generative AI models using advanced techniques, followed by rigorous validation, testing and security audits.

Testing and continuous improvement

Our team will ensure your AI solutions are finely-tuned, up-to-date, and performing at their best. We thoroughly test your AI models, analysing their accuracy, efficiency, and adaptability.

We pinpoint and promptly address areas for improvement — from fine-tuning models to updating core reference material.

We ensure your AI solutions are always ready to drive your business forward, adapting and improving alongside you.

Book free consultation

Don't just take our word for it.

Working with Calls9, we have been able to develop bespoke, scalable digital solutions that encourage and foster collaboration, better market our offer, and ensure clients can connect easily with an expert lawyer anywhere in the world.

Imogen Lee

Director of International Marketing and Communications

This is some text inside of a div block.

Imogen Lee

Director of International Marketing and Communications

Calls9 have been supporting Euravia now for almost a decade and have been fundamental to Euravia’s digital and marketing progress. The Calls9 team are a highly skilled, experienced group, with an extensive amount of knowledge. This is priceless, when a business requires the right detail, the right visuals and dynamics to build a business’ profile.

Paul Sconce

International Business Development Manager

See our work

FAQs

What is Artificial Intelligence (AI) and how can it benefit my business?

Artificial Intelligence (AI) is a branch of computer science that aims to imbue software or machines with capabilities that mimic or simulate human intelligence, such as learning, problem-solving, perception, and language understanding.

AI can deliver a range of benefits depending on your business needs and the specific application. This could include:

Automating routine tasks to improve efficiency and reduce costs
Gaining insights from data to inform decision making
Providing personalised experiences to customers
Identifying trends and making predictions to inform strategy

What is Generative AI?

Generative AI is a subfield of artificial intelligence focused on creating new content. It works by training on a large amount of data, learning patterns and structures from this data, and then generating similar content. This can include everything from text (e.g ChatGPT) and images (e.g Dall-e & Midjourney) to music and even speech (e.g AudioLM).

Generative AI can be leveraged in a multitude of ways in a business setting. Here are a few examples:

Content Creation: Generative AI can be used to create a range of content, such as blog posts, social media updates, or product descriptions. This can save your team a significant amount of time and ensure a consistent brand voice.
Customer Service: Generative AI can power agents or assistants, providing customers with instant responses and personalised interactions, 24/7.
Product Design: Generative AI can create hundreds of potential designs based on current trends, brand aesthetics, or specific design briefs.
Personalised Marketing: With Generative AI, businesses can generate personalised landing pages, ad copy or promotional content targeted to individual customers, enhancing engagement and potential conversions.

Why do I need a Generative AI Strategy for my business?

A Generative AI strategy is critical for ensuring that your use of artificial intelligence aligns with your broader business goals. It provides a roadmap for AI implementation, identifying where and how AI can create value, the resources needed, and how AI-related risks should be managed. It helps you avoid ad-hoc AI projects that may deliver limited value, and instead, align AI initiatives with business-wide objectives. Read more.

What are some risks or challenges of using Generative AI in business?

Using AI in business can offer significant benefits, but it also comes with its own set of challenges and risks. Here are some of the key points to consider:

Data Privacy: AI systems often require large amounts of data, which can include sensitive or personal information. You must ensure you comply with data protection regulations and respect the privacy of your customers and employees.
Security: AI systems, like any technology, can be vulnerable to cyberattacks. You should invest in robust security measures to protect these systems and the data they hold.
Bias: If the data used to train AI systems contains biases, the systems themselves can also become biased, leading to unfair or discriminatory outcomes. It's crucial to use diverse, representative data and to regularly test AI systems for bias.
Regulatory Compliance: As AI becomes more prevalent, regulations are evolving to catch up. Ensure that your use of AI complies with all relevant laws and regulations, which can be complex and vary between jurisdictions.
Reliance on AI: While AI can automate many tasks, over-reliance on AI at the expense of human judgement can be risky. It's important to maintain a balance and use AI as a tool to assist, rather than replace, human decision-making.

How can I implement Generative AI in my business?

Implementing AI in your business involves identifying what to automate, sourcing the right technology and data, and aligning the necessary technical and human resources. Sounds challenging? Don't worry, with our AI Fast Lane programme will build team of experts around your needs and budget to help you:

Develop a Generative AI Strategy: Identify where AI will give you a strategic advantage, specify use cases and create the roadmap for transformation.
Gather and Prepare Your Data: AI systems learn from data, so you'll need to gather and prepare relevant data for training. This could involve collecting data from your operations, cleansing it to ensure it is high quality, and possibly annotating it for training.
Choose the Right set of Technologies: There are many AI technologies and models available. The right choice will depend on your specific needs and resources.
Develop and Test the AI System: Once we've chosen the technology, you'll need to develop and test the AI system. This will likely involve training the system on your data, testing its performance, and refining it until it meets your needs.
Integrate with Your Operations. Once the AI system is ready, you'll need to integrate it into your operations. This could involve connecting it to your existing systems, training staff on how to use it, and rolling it out gradually to monitor its performance and refine it as needed.
Review Ethical and Legal Considerations: Ensure the use of AI aligns with any ethical guidelines and legal regulations applicable to your industry. This includes considering data protection and data privacy.

Identify where AI can give you a strategic advantage and rapidly deploy AI use cases in your organisation.

Achieve End-to-end AI Transformation

Related Case Study

AI Fast Lane Modules

Don't just take our word for it.

FAQs

Related Insights

Why your organisation needs an AI Strategy now more than ever

Revolutionising DeFi with AI: The future of finance unfolds

Book free consultation.

AI Fast Lane

Identify where AI can give you a strategic advantage and rapidly deploy AI use cases in your organisation.

Achieve End-to-end AI Transformation

Related Case Study

Building an AI Welfare Assistant (Proof of concept)

AI Fast Lane Modules

Audit your existing AI capabilities

Create your AI Strategy

Identify AI use cases

Build and deploy AI use cases

Testing and continuous improvement

Don't just take our word for it.

FAQs

What is Artificial Intelligence (AI) and how can it benefit my business?

What is Generative AI?

Why do I need a Generative AI Strategy for my business?

What are some risks or challenges of using Generative AI in business?

How can I implement Generative AI in my business?

Related Insights

Why your organisation needs an AI Strategy now more than ever

Revolutionising DeFi with AI: The future of finance unfolds

Book free consultation.