Transparity offers a robust AI strategy consulting service designed to drive innovation and optimise business processes. By partnering with Transparity, organisations can create transformative AI initiatives that deliver significant business value. Transparity’s approach includes identifying high-impact use cases, selecting appropriate technologies, and developing a comprehensive deployment roadmap.
Our strategy phase lays the groundwork for a successful AI rollout.
As a trusted Data & AI partner, Transparity has a direct relationship with Microsoft and can leverage funding to aid you in your AI projects.
Transparity works with you to create your AI strategy. Our three pillars of ‘Building AI Foundations’, ‘Designing AI Workloads’ and ‘Managing, Securing and Governing your AI Solutions’ are all underpinned by Responsible AI – ensuring that your solutions are secure, safe and private by design.
The full rollout of an AI strategy includes design and implementation, however, we view the strategy phase as building strong AI foundations. Let’s take a look at how this breaks down.
Our AI strategy consulting begins with a planning session, either online or in person to:
We start by understanding your organisation’s strategic goals. Where are you now and where do you want to be as an organisation in the short, medium and long-term. Your AI Strategy shouldn’t be siloed, it should be aligned with your business objectives and used as an enabler to help achieve them.
Collaborate with your key stakeholders across IT and business. We usually do this through discovery sessions, demos and workshops.
Gather and record our findings showing current processes and workflows, a SWOT analysis and next step planning.
Our one-day design-led thinking workshop brings together your key business advocates in a facilitated discussion to identify and prioritise the right AI use cases for your business. With AI, these use-cases usually revolve around either improving your employee and customer experience, optimising your operations or bending the curve on innovation to create competitive advantage in your market.
Identify opportunities to enhance a business area by reimagining your workforce and customer experience. Consider where innovation can be introduced. Evaluate how AI could provide assistance. Identify processes that are suitable for automation, such as repetitive tasks, resource-intensive operations, or areas with high error rates.
To optimise the impact of your AI initiatives, it is essential to define objectives and success metrics for each use case. Identify the necessary stakeholders and assess both the impact and feasibility of the project.
Our readiness assessment looks at all key points of a successful AI implementation. For each of these drivers, it looks at which stage of maturity your organisation is at, from exploring to realising, and makes recommendations for how to progress.
A clear operating model, leadership support, change-management process, access to continuous learning and development, and strong relationships with diverse subject-matter experts
Clearly defined and prioritised business objectives, use cases, and measurement of AI value
A systematic, customer-centric approach to AI that includes applying the right model to the right use case and experience in building, testing, and realising AI value across multiple business units
Implementation of processes, controls, and accountability structures to govern data privacy, security, and the responsible use of AI
An AI-ready application and data platform architecture, aligned parameters for build vs. buy decisions, and plans for where to host data and applications to optimise outcomes.
Following the previous workshops and assessment, our AI consultant will turn the findings into a roadmap. It will cover short, medium and long-term goals.
• Pilot projects for quick wins
• 3 Horizon Plan including recommendations on technology foundations
“We have worked with Transparity to ready our underlying data strategy; because great AI needs great data and we are excited to explore the use cases that generative and applied AI built to meet the very specific needs of our business.”
Transparity’s AI team is expert at helping organisations get AI-ready. Designing AI solutions for organisations that create sustainable business value and are underpinned by responsible AI principles.
We hold the AI Platform on Microsoft Azure Specialisation, and our team has a wealth of experience across all sectors in supporting clients on their AI Transformation journey.
While AI itself is nothing new, we are seeing a rapid rise of AI innovation with Generative AI. With organisations of all types and sizes using AI to empower their workforce, engage their customers, optimise their processes and drive innovation.
Explore the top scenarios where AI is helping businesses realise increasing value and creating new opportunities across major industries with our ‘AI Use Cases for Business Leaders’ guide.
An AI strategy is a comprehensive plan that outlines how an organisation intends to implement and leverage artificial intelligence technologies to achieve its business goals. It includes considerations around technology, data, processes, governance, and adoption.
Organisations need an AI strategy to effectively integrate AI into their operations, optimise outcomes, ensure data privacy and security, and responsibly use AI. A clear strategy helps align AI initiatives with business objectives and provides a framework for implementation and scaling.
Transparity ensures responsible use of AI by implementing processes, controls, and accountability structures to govern data privacy and security. We emphasise ethical considerations and compliance with regulations to ensure that AI technologies are used responsibly and safely.
