AI & automation
Our methodology ensures the utmost level of compliance to meet the artificial intelligence due diligence needs of highly regulated sectors.
Our approach
By taking the problem and breaking it down into smaller pieces, we maintain better control of the work, reducing the risk of slippage, whilst constantly reminding ourselves of the wider context.
When it comes to AI machine learning, our methodology considers several factors, including data quality, fairness, accountability, costs, security, GDPR, and the people behind the processes.
We ensure that we can explain to you how and why a model performed the way it did and justify the ethical permissibility and public trustworthiness of its outcome and of the processes behind its design.
A Wyser way to implement AI & automation
When you collaborate with us, you can be sure that you are choosing a partner who will put your business and your people first. We have decades of experience delivering artificial intelligence programmes and business automation tools and are industry experts in machine learning.
Our methodology and processes are closely aligned with Public Sector AI Due Diligence and so with Wyser, you can be certain of the highest levels of compliance and security. Typically, we use a hybrid model of agile delivery, with collaborative scrum team(s), coupled with project management oversight for internal and external reporting and governance. Our approach delivers great results and ensures timely feedback from users, whilst giving you increased levels of assurance.
What is the difference between AI & automation?
AI is often confused with automation, yet the two are fundamentally different. Automation saves time and money spent on monotonous or voluminous tasks, freeing up employees to focus on more complex processes. Artificial intelligence, on the other hand, deals with technologies, systems or even processes that mimic how human beings make decisions or react to new information, how they speak or hear and understand language.
Artificial intelligence can be applied to manage spikes in demand more effectively. As an example, we supported a dispute resolution service in this area. Our AI can gather data from both parties involved in a dispute, understanding its context, applying relevant case classification and provide a summary to the business agents and advisers. In this example, we reduced the amount of time spent gathering customer data, doubled the capacity of that organisation and helped improve the consistency of the guidance provided.
What is natural language processing?
AI enables systems and processes to learn from data, identify patterns, and recommend decisions without human involvement. Natural language processing is a subset of machine learning which combines computational linguistics—rule-based modelling of human language—with statistical, machine learning, and deep learning models. These algorithms enable computers to process human language, in the form of text or voice data, and to ‘understand’ its full meaning, complete with the speaker or writer’s intent and sentiment.
One of our customers needed support with their customer engagement strategy, including changing the way they gathered upfront data from their customers, ensuring right-first-time data capture. Their chatbot trials had been underwhelming and they needed a solution which could deliver better value and higher customer satisfaction; i.e. our conversational AI. Our NLP and natural language understanding models delivered a service which was able to “discuss” each inquiry more like a human interaction, asking clarification questions and gathering necessary information without pretending to be a human.
What is robotic process automation?
Robotic process automation (RPA) uses automation technologies to mimic the back-office tasks of human workers, such as extracting data, filling in forms, moving files, etc. Implementing RPA can yield great results as it takes all the mundane tasks away, giving workers more time to spend on the more cognitively challenging tasks and building relationships with customers. As expert RPA consultants we will work alongside you to improve and add value to processes.
One of our customers needed help with invoice reconciliation and matching. We set up models that compared information on each invoice with supporting documents such as a purchase orders, goods receipts, and contracts to ensure they were matched correctly. Those that didn’t were highlighted in an exceptions report that were dealt with quickly. This service saved hundreds of hours of lost time on a mundane task, the client was delighted.
Get in touch
We take an open and honest approach. What that means for you is that there will be no hidden surprises or spiralling costs along the way. Get in touch if you'd like to know more about our methods.
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