Elevate your strategic vision with Generative AI
Transform your organisation’s data into a powerhouse for growth.
Generative AI is both simple and powerful, but managing it can be complex.
A tactical approach is required to meet the growing demand for AI-driven change, while maintaining security around your customer and business data. Understand the benefits and future potential Generative AI will bring your organisation, as well as the complexities and limitations.
Understand opportunities
Your business has unique challenges, risks, and opportunities. Your Gen AI strategy should reflect your circumstances, such as your competitive landscape, regulatory conditions, or ways of working.
What your organisation wants to achieve:
- Communicating business value to decision-makers.
- Upskilling teams within your organisation.
- Increasing your awareness of the emerging Gen AI use cases within your industry.
- Or more…
Mantel Group can help your organisation shape its Gen AI strategy, ensuring you fully understand use cases within your industry, take a strategic approach to Gen AI implementation, and optimise the value that Gen AI will bring to your organisation.
Boost productivity
Internal Gen AI use cases usually fall into two categories: tactical or transformative. Tactical implementations of copilot-style tools grow awareness of Gen AI’s potential, and represent quick wins with limited technical risk. Transforming a business process around Gen AI from the ground up takes time, but is often more rewarding, and builds an appetite for more ambitious use cases.
What your organisation wants to achieve:
- Supercharging software development with automated code generation.
- Exploring an opportunity to transform a core business function.
- Establishing a productivity baseline and measuring the benefits of Gen AI tooling.
- Or more…
Mantel Group can help your organisation execute AI strategy across both tactical and transformative projects. We have a track record of successful solution implementation, including custom and advanced LLM builds, Co-pilot/AWS Q enablement and readiness assessments, vendor selection and ongoing training.
Delight customers
Next-generation customer service will be hyper-personalised, human-like and autonomous. Organisations must differentiate the customer experience at every point of the customer journey, from sale to service, and leverage Gen AI to maintain a competitive edge and keep customers coming back.
What your organisation wants to achieve:
- Creating engaging and personalised customer experiences
- Offer entirely new products and services enabled by the power of GenAI
- Accelerate a customer process using intelligent document processing
- Or more…
As experts in Service Design and end-to-end Design and Delivery, Mantel Group can help your organisation understand where its greatest customer opportunities exist and ensure that a customer lens is consistently being applied to your AI Strategy, solutions, and services.
Manage risks
Gen AI presents a massive opportunity to accelerate value creation in your organisation, but unsafe, unethical, or even illegal use of its capabilities is a risk that must be managed. This means enabling sustainable innovation at scale within a culture of governance, awareness, and accountability. The right balance for your organisation will depend on your risk appetite, established governance process, and regulatory constraints.
What your organisation wants to achieve:
- Establishing a governance structure and Responsible AI policy to better manage experimentation in your organisation
- Educating your board and leadership team on how best to manage the complexities of Gen AI
- Developing one or more use cases with ethical and secure AI at its core
- Or more…
Mantel Group can help your organisation balance your risk appetite, existing governance processes, and regulatory constraints. Develop a Responsible AI or governance framework, build technical controls in your Gen AI products or services, and ensure that your teams, the services they provide, and the data they draw on are safe, secure and responsible.
Scale effectively
Enabling Gen AI to deliver value-at-scale requires a different kind of approach. Technical platforms must adapt to changing needs for managing Gen AI solutions, including cost and performance monitoring, while maintaining an eye on future horizons and emerging tech.
Future-proof your Gen AI investments by establishing the ability to prototype rapidly, using off-the-shelf tools to experiment, fail fast, figure out the right use cases, and find the right harmony between your people, process and technology to get the Gen AI use case machine running smoothly.
What your organisation wants to achieve:
- Launch a Gen AI PoC through to user release
- Free up your Data Science team from support mode
- Finding a solid and proven ML platform to develop and host your viable use cases
- Or more…
Mantel Group can help your organisation understand its AI maturity, guide you in adopting a future-minded, modular approach to AI at scale, and identify the best method for growing AI adoption throughout your organisation, from a people and process perspective.
Generative AI resource library
“What our customers care about most is getting a high-quality outcome using their data; this requires picking the right use case, leveraging quality data, and having a trusted layer of governance and security around their solution.”
Emma Bromet,
Partner, Data & AI
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Generative AI frequently asked questions
What is Gen AI?
Generative AI refers to a type of artificial intelligence that focuses on creating new content, such as text, images, music, or other data. It uses algorithms, particularly deep learning ‘transformer’ models trained on large datasets to generate new examples that resemble that data, but are fundamentally novel.
These systems learn patterns and structures from their training data, allowing them to produce original outputs that can be creative and contextually relevant. Examples include text generation (like chatbots), image creation (like DALL-E), and music composition.
Why has GenAI taken off so quickly?
Generative AI has surged in popularity due to breakthroughs in deep learning, greater access to large datasets, and enhanced computing power, allowing for the creation of high-quality, realistic content that has become useful in diverse contexts across consumer and business applications.
Will the hype of Generative AI deliver real value?
Yes, the hype surrounding Generative AI is expected to deliver real value by enhancing creativity, automating tasks, and providing personalised content across various industries.
What does it cost to run Gen AI?
The cost to run Generative AI varies widely, based on factors like the complexity of the model, computational resources needed, and whether you’re using cloud services or on-premises hardware. Training a Generative AI model from scratch can be prohibitively costly, in the many millions of dollars.
What are the risks of Gen AI?
The risks of Generative AI include the potential for misuse (such as deepfakes, or bots that spread misinformation), ethical concerns around content authenticity, job displacement in certain industries, biases in generated content, and environmental impact due to high energy consumption.
What’s different between GenAI apps and ChatGPT?
Generative AI apps utilise one or more generative models to achieve an outcome as part of a system; for example, a search tool that utilises a search application as well as a large language model to return easily readable search results, and to check the results for harmful outputs. These applications encompass a wide range of use cases that create various types of content, such as images, music, or video. ChatGPT is one such application offered by OpenAI, specifically focusing on generating human-like text responses in conversational contexts.
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