Our comprehensive digital transformation services assist organisations in adopting and integrating digital technologies, including AI, to streamline processes, improve customer interactions, and foster innovation. These services encompass developing digital strategies, implementing cutting-edge technologies, and facilitating cultural and operational changes necessary for success in today’s digital landscape.
Here is an outline of the assumptions and step-by-step process for our “Digital Transformation” service tailored to address your specific AI needs
Non-Disclosure Agreement
Step 1: Establishing a Non-Disclosure Agreement (NDA)
Before commencing any work with a business client, it is crucial to establish a Non-Disclosure Agreement (NDA). This is a legally binding contract that safeguards the confidential information of both parties involved.
The NDA will specify the terms and conditions of the partnership, including the scope of work, project timeline, and any sensitive information to be shared during the project.
Upon both parties signing the NDA, we can proceed with the project.
The contract will be signed online through a reputable legal portal.
Your Company Assessment
Step 2: Understanding the needs and challenges of your company
Next, we will discuss the specifics of your company, the AI project to be implemented, or your transformation strategy.
In order to develop a change strategy or gain a deeper understanding of the AI project we will be involved in, we require various pieces of information from you.
Therefore, we will request the following from you:
– Details about your current operations, technologies, and plans
– Assessment of staff preparedness and skills for AI integration
– Information regarding the data you possess and a sample of it
– Your existing data privacy policies and procedures
– Any other pertinent details.
This will allow us to establish a starting point by conducting a comprehensive assessment of your company’s current situation.
If you are unsure of where to begin, do not worry. We have templates and questionnaires with audit questions that can serve as a helpful starting point.
Development process
Step 3: Developing your transformation strategy
We develop strategies for your personalised AI transformation. Please allow us a maximum of 14 business days from the time you provided us with all the information.
The AI Transformation Strategy has been prepared
Step 4: Your company’s digital transformation journey can now commence
It will include two documents – one descriptive and the other for visualizing the proposed changes. Strategic assumptions will encompass the following:
– Analysis of suitable AI solutions for your industry
– Ethical and legal evaluation of these solutions
– Recommendations for the most effective AI implementation
– Costs and timelines
– Visual process maps for AI-powered operations
– Key business metrics for measuring success
– Benefits and risks with mitigation plan
– Personnel plan including current/future roles and transformation stages
– Additional consultation recommendations
Ongoing advisory and implementation support offered.
Summary:
Whether you are a small business or large enterprise, embracing artificial intelligence is critical for gaining and maintaining a competitive edge. Our “Digital Transformation” service provides expert guidance tailored specifically to your company’s needs and industry. We take a comprehensive approach – assessing your current state, developing a customized strategy, and offering end-to-end support for seamless AI adoption.
Don’t let your competition outpace you.
Leverage our AI consulting expertise to drive innovation, optimise operations, and unlock new growth opportunities. We understand the unique challenges across industries and company sizes.
Our friendly team is committed to supporting you every step of the way on your AI transformation journey.
To take the first step towards digital transformation, please contact us.
You can fill out the form to specify your interests, send an email, or give us a call. We will arrange a virtual coffee meeting to understand your needs and discuss details.
Remember, good planning is essential in business before implementing any spontaneous decisions.
With the help of artificial intelligence solutions, your work or your team’s work will become more modern and efficient. Everyone will feel like they have a perfect virtual assistant who can work flawlessly 24/7.
Digital transformation is a process that every company will eventually undergo, and it typically involves multiple stages. We will begin by identifying current and future opportunities in your industry and creating a strategic plan for your business. Within 14 business days of receiving all necessary information from you, we will provide a visual presentation and detailed document outlining the available tools, potential AI solutions, required steps, legal regulations, data protection measures, and budget.
The cost of this analysis will vary based on the size and complexity of your business, starting at £600. An accurate estimate can be provided after an initial consultation with you.
The next step should involve an analysis of the “Digital Transformation Strategy” that we have prepared, by the decision-makers in your company. This analysis should consider aspects such as finances, time, and the readiness of your staff to implement changes.
It is important to note that many excellent transformation strategies have failed to be implemented in business life simply because entry-level staff did not utilize the AI technology that management had invested significant resources in.
Therefore, we always recommend introducing transformation gradually, while ensuring staff training.
At this stage, we can assist you in selecting transformation steps, forming a team for the AI project tailored to your needs, and providing training for your employees, as per further arrangements.
So, what is the most desirable transformation? Take a look at the image below, which illustrates the Transformation framework developed by Google.
While every company aims for the “project 10x” – the WOW EFFECT, we will help identify opportunities for you in all four stages.
A few examples
Here are examples of six companies across different industries and sizes that have benefited from implementing AI into their operations, along with details on the specific AI tools/platforms utilised and the advantages realised:
RETAIL – Walmart (LARGE)
Walmart has leveraged AI in multiple ways, including using computer vision for checkout monitoring, demand forecasting for inventory management, and natural language processing for customer service chatbots and voice assistants. They deployed solutions from companies like Nvidia, Microsoft, and their own proprietary AI platform.
Advantages:
- Reduced customer wait times and improved checkout experience with AI-powered vision systems
- Optimized inventory levels and reduced overstocking/understocking with better demand forecasting
- Enhanced customer service with always-available virtual assistants, driving higher satisfaction
FINANCE – JPMorgan Chase (LARGE)
JPMorgan has implemented AI for fraud detection, risk analysis, trading analytics, and robotic process automation. They’ve used machine learning models built on platforms like H2O.ai and worked with AI companies like Pypestream.
Advantages:
- Prevented millions in fraudulent transactions using advanced AI fraud detection
- Improved trading insights and strategy with AI-driven quantitative analysis
- Significantly reduced manual work hours through robotic process automation, saving time/costs
HEALTHCARE – Olive AI (STARTUP)
Olive provides an AI-powered robotic process automation platform for healthcare providers to automate workflows. Their AI “workforce” handles tasks like prior authorizations, payment resolution, and data entry.
Advantages:
- Streamlined routine administrative processes like prior auths and payment management
- Reduced human workforce hours needed for data entry and administrative tasks
- Enabled healthcare staff to focus more time on patient care vs. administrative burdens
MANUFACTURING – Siemens (LARGE)
Siemens uses AI and machine learning in their industrial IoT platforms like MindSphere. This includes predictive maintenance, asset performance management, and quality assurance.
Advantages:
- AI-driven predictive maintenance reduced equipment downtime and repair costs
- Optimized manufacturing quality control using machine vision and image recognition
- Improved equipment efficiency through real-time asset monitoring and optimization
LOGISTICS – DHL (LARGE)
DHL leverages AI for route optimization, demand forecasting, robotics for warehouse automation, and customer service chatbots/virtual assistants.
Advantages:
- More efficient route planning reduced transportation times and fuel costs
- Faster order fulfillment through automated warehousing and robotics
- Improved customer experience with AI-powered assistants for queries
CONSULTING – Palantir (MEDIUM)
Palantir provides AI/data analytics consulting across industries including defense, manufacturing, and healthcare. Their software combines data integration, AI model building, and visualizations.
Advantages:
- Generated data-driven insights for smarter decision making through AI modeling
- Enabled proactive planning and forecasting across complex supply chains
- Provided powerful visualizations and simulations using AI for scenario planning
These examples showcase diverse applications of AI technologies like MACHINE LEARNING, COMPUTER VISION, NATURAL LANGUAGE PROCESSING, and ROBOTIC PROCESS AUTOMATION across multiple domains – resulting in ENHANCED OPERATIONS, HIGHER PRODUCTIVITY, REDUCED COSTS, and IMPROVED CUSTOMER EXPERIENCES.