Finance

Putting Data At the Core of Financial Transformation

Published

1 year ago

September 2, 2022

admin

By Duncan Ash, Vice President, Global Industries, Confluent

It is clear the financial services industry is at a pivotal point and going through a tremendous amount of transformation. This is largely due to the disruption from the likes of challenger banks, the effects of the pandemic, rise in cybercrime, and ultimately changing customer behaviour and expectations. The fundamental crux, however, for financial services brands is dealing with all of this in an industry which is highly regulated and governed. While this is critical for running robust services, it can slow innovation.

Innovation and technology are at the core of any organisation wanting to successfully reinvent itself during this pivotal period and to ensure their business model can streamline operations, increase efficiency, and ultimately match the expectations customers now have when it comes to the brand experiences they get. In fact, Forrester predicted that tech spending by banks in 2022 is expected to achieve double-digit growth. When evaluating what that spend should focus on, organisations in the financial industry need to ensure they are investing in data management.

The reason behind that is simple. Data is the lifeblood of any organisation and, in recent years, there has been a major shift in the way teams think about how data is processed and managed. Essentially, organisations need to be able to consolidate data from a variety of applications and services to be able to answer questions from the business. What’s more, the data needs to be accurate, complete, and timely. Employees simply can’t make decisions based on old or inaccurate data and in financial firms specifically, the use of data allows employees to offer greater value and personalised services to clients and address business challenges such as fraud. This is why organisations are starting to move away from relying on traditional systems of storing data and looking to support a continuous flow of data from across the business, between apps, databases and cloud providers.

By allowing data to move fluidly in real-time, no matter where it resides in an organisation’s IT infrastructure, true innovation can occur. Here are three financial services use cases to showcase that.

Driving the hyper growth of payments technology

Payments technology has been embedded into almost all consumer services, from e-commerce to gaming, transportation, television and mobile apps, and because of that, the global payments infrastructure and ecosystem has had to scale up quickly. This hasn’t been an easy journey for everyone especially in light of regulations and an increasingly challenging security environment.

Data is the vital fluid for this ecosystem. Take fintech firms specifically. They are launching new cloud-native platforms and depend on real-time access to data to support their microservices-based applications. In addition, fraud has become a growing problem in payments and is harder to detect than before because of the increasing array of channels, platforms, and networks that present themselves as a wider attack-surface to cyber criminals. Having access to real time data allows fraud to be detected rapidly, and, in many cases, the ability to block a transaction before it can be completed.

Preventing financial crime

The boundaries between cyber security, fraud and financial crime have become blurred. Cyber-attacks on all aspects of financial services are often the first stage in fraud taking place. Frauds no longer just happen in seconds; some of them can last for years. Consider common attacks like phishing or account takeovers. This has driven the need for fusion centres where internal teams work together. However, collaboration is the most important element required to make a fusion centre successful. Firms need executive sponsorship and a willingness to break down the barriers between teams and their data silos. Political fiefdoms must be broken down and teams need to embrace a new, collaborative way of working, often with data and processes that will be new to them.

Delivering a real-time view of risk

Risk management teams have found themselves firmly in the spotlight since the 2008 financial crisis. Since that time, techniques evolved, new asset classes emerged, and the data used to drive risk calculations became more readily available and higher in volume and complexity.

However, organisations need to understand that asset managers, hedge funds, retail and commercial banks, insurance and reinsurance organisations all have their own data challenges, regulations, risk measures, and reporting requirements – all of which need addressing to enable firms to embrace risk and bake it into their operations.

Ultimately, modern organisations in the financial services industry need to serve customer demands in real time. Teams need to be perfectly informed with a stream of real-time insights that drive the right decisions and experiences. This is what is fundamental to managing the disruption taking place and the key to making that happen is bringing together data from all of the relevant systems and processes to one common platform. This will support financial organisations in driving innovation and successfully transforming their business models.

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Business

How can law firms embrace automation and revolutionise their payments?

Published

22 hours ago

September 28, 2023

editorial

Attributed to: Ed Boal, Head of Legal at Shieldpay

Once again, AI is dominating international headlines. This time, it’s due to a closed-door meeting this month between tech leaders and US senators to discuss the technology’s regulation.

AI and automation isn’t just for the likes of Big Tech. We’re seeing predictive and automated technologies transform almost every sector and the legal industry is no exception. In fact, recent research from HBR Consulting found that 60% of law departments had implemented a legal data analytics tool last year and more than 1 in 4 indicated they were using AI for at least a single use case.

However, adoption isn’t without its challenges. Reticence remains among some and there’s also the danger of ‘transformation fatigue’ slowing real progress. If law firms want to reap the many benefits of automation – including revolutionising their payment processes – these challenges need to be carefully considered and thoughtfully addressed.

An area of great opportunity

Often seen as conservative, the legal industry has been gradually warming up to the idea of automation and technology.

While some pioneering firms have been quick to embrace automation tools, others remain cautious about disrupting their established workflows. As we navigate this landscape, it’s clear that certain areas of legal services are ripe for innovation.

One area is contract management. The process of drafting, reviewing, and managing contracts has traditionally been time-consuming and prone to human errors. Automation can alleviate these pain points by streamlining the entire lifecycle of contracts, from creation to renewal, thereby enhancing efficiency and reducing risks.

Another promising domain is legal research. Thanks to advancements in natural language processing and machine learning, legal professionals can now leverage AI-powered research tools that analyse vast volumes of legal data to provide accurate insights and case precedents swiftly.

But, while progress is undoubtedly being made, the legal sector still lags other sectors when it comes to innovation.

What’s getting in the way of progress?

This isn’t always down to a resistance to change. Often, it’s a result of firms spreading their resources too thinly across numerous technology initiatives.

Ed Boal

Attempting to tackle everything at once can result in ‘transformation fatigue’, where the benefits of individual innovations get diluted – leading to frustration and slower progress.

Before legal firms embark on digital transformation projects, a critical first step is introspection. Recognising and acknowledging areas where legacy processes and manual tasks still hold sway is paramount to optimising the impact of automation.

For many firms, archaic practices continue to consume valuable time and resources, diverting attention from higher value, billable tasks. One often-overlooked area is payments.

Legal firms play a critical role in complex transactions, from M&A and real estate deals to litigation and arbitration payments. The associated admin and processes represent a drain of firms’ time and resources. Spanning everything from collating stakeholder payment details and verifying payee identity to ensuring compliance with Know Your Customer (KYC) and Anti Money Laundering (AML) regulation, this adds unnecessary stress for lawyers – who would rather dedicate their time and expertise to their clients’ legal needs.

The repercussions of such time-consuming financial processes reverberate throughout the entire organisation. Administrative burden weighs heavily on the team, affecting productivity and ultimately, the bottom line: recent research from Shieldpay, surveying the UK’s Top 100 law firms, found that almost 1 in 3 (32%) say KYC collection and verification checks take 4-9 working days.

At the same time, firms are exposed to significant financial risk which can make handling client funds a costly endeavour. Not only are they penalised with fines if found to be in breach of stringent client account rules but firms are also subject to hefty premiums for Professional Indemnity (PI) insurance. No wonder 73% of all legal professionals and 90% of junior law professionals are concerned about the risks and time costs associated with holding client funds.

Revolutionising payment transactions

In short, manual payment processes are more than just an inconvenience for modern law firms. They can damage relationships with clients – who have come to expect a fast, painless and automated payout experience in a digital world – and impede revenue generation by tying up top talent in an endless cycle of paperwork and (unbillable) admin.

So how can firms take the pain out of legal payments?

Fortunately, new payment technologies have emerged as a formidable ally. Third-party payment providers offering solutions for law firms, such as escrow and paying agent services for specific transactional deals, or more embedded payment solutions such as managed accounts (TPMAs) – i.e. outsourced client account functions – offer secure and instant transactions, while prioritising transparency and automation.

TPMAs operate as an escrow payment service in which the third-party – a licensed external payments partner – receives and disburses funds on behalf of a firm and their client(s).

With advanced encryption ensuring data security, working with a regulated payment partner means legal professionals and their clients can engage in financial transactions with peace of mind – while law firms benefit from improved operational efficiency.

And the advantages don’t stop there. Enhanced transparency builds a sense of confidence and trust, while the elimination of manual data entry and repetitive tasks allows legal professionals to devote more time to legal services and fostering stronger relationships with their clients.

AI and automation has much to offer the legal sector. But its adoption must be carefully planned in order to avoid transformation fatigue that risks stalling progress altogether. With typically shallower pockets than Big Tech giants, it’s important for law firms to focus their efforts on specific areas that could benefit from automation, rather than rush to overhaul their entire way of working, all at once. This controlled phase-out is the key to avoiding adoption frustration, seeing a real impact on profits and productivity and setting firms up for real, lasting change.

Business

In-platform solutions are only a short-term enhancement, but bespoke AI is the future

Published

2 days ago

September 27, 2023

editorial

By Damien Bennett, Global Director, Principal Consultant, Incubeta

If you haven’t heard anyone talking about artificial intelligence (AI) yet, then where have you been? Conversations about AI and its advantages to society have been a key talking point over recent months, with advances being made in the generative AI race and ChatGPT opening a whole plethora of possibilities. Many have highlighted the advantages of AI, but notably it’s ability to create human-like content.

But these discussions have only scratched the surface of what AI is capable of doing. It is for far more than just essay writing, adding Eminem to your rave and photoshopping dogs into pictures.

In marketing, we have been using AI for years, for everything from analyzing customer behaviors to predicting market changes. It’s enabled us to segment customers, forecast sales and provide personalized recommendations, having a huge impact on how our industry works.

It is even, for the more savvy marketers of the world, becoming a key tool in maximizing budget efficiency – which is apt, considering over 70% of CMOs believe they lack sufficient budget to fully execute their 2023 strategy.

Now, as AI becomes more intelligent, the number of efficiencies it can unlock continues to rise. Not only can it help brands get the most out of their available resources and identify any areas of waste, but it can also help highlight new opportunities for growth and maximize the impact of your budget allocation.

The trick, however, is to veer away from the norm of using in-platform solutions with a one-size-fits-all approach and create your own, bespoke solutions that are tailored to your business needs.

Pitfalls of in-platform solutions

In-platform solutions aren’t by any means a bad thing. In fact, built-in AI tools have become increasingly popular, owing to their ease of integration, user-friendly interfaces and minimal set up requirements. They come pre-packaged with the platform, offering the user the ability to leverage AI technologies without the need for in-depth technical expertise or the upfront cost of building a solution from scratch.

However, the streamlined and accessible nature of in-platform AI solutions comes at the expense of complexity and customization. They are designed to serve a broad user base, but for the most part are built using narrow AI solutions with predefined features and workflows.

This makes them great for assisting with common AI tasks, but they lack the flexibility to tailor functionality towards unique business requirements or innovative use cases, limiting the potential efficiencies and cost savings that can be unlocked. Additionally, if a business’ competitors are using the same platform, they are probably using the same AI solution, meaning any strategic advantage gained from these will be reduced.

Bespoke AI solutions, on the other hand, may carry a higher initial investment – but can offer a significantly more attractive ROI over a short amount of time.

Why customized and adapted AI is the key

The difference between bespoke AI and in-platform solutions is similar to that between home cooked food and a microwave meal. Yes, it is more time consuming to prepare, and yes it likely carries more of an upfront cost, but the end result is going to be far more appealing and will carry more long-term value (financially… not nutritionally).

That’s because bespoke solutions, by nature, will have been tailored to address your brands specific needs and challenges. These custom-built tools allow for much greater efficiencies by streamlining workflows across different channels, automating more complex tasks, and providing deeper, more relevant insights.

The increased level of optimization can significantly improve productivity and reduce operational costs over time, offering a higher ROI. The increased flexibility of bespoke AI also allows brands to implement innovative use cases that can significantly differentiate them from their competitors.

The data analyzed can be specifically chosen to match business requirements, as can the outputs of the AI tool, providing a significant advantage when understanding and acting on the insights provided.

Additionally, these tools are, by nature, more scalable. They can be updated, upgraded and expanded as needs change, ensuring they continue delivering value as the business grows. They can also be designed to integrate with any existing IT infrastructure, from CRM systems and databases to marketing platforms and sales tools – leading to more efficient and effective decision-making.

Managing finances with AI

It’s no secret that AI in marketing automation has, and will continue to, revolutionize the way marketing is done. It has a bright, if slightly terrifying, future and can help CMOs to unlock new efficiencies, maximize the impact of their budgets and increase their ROI. And as this technology becomes more advanced, its impact will only increase.

But we already know that…and so does everyone else.

So, in order for businesses to make themselves stand out from the crowd , they must look to fully adopt the power of AI. Creating a customized and unique AI solution could be the way to set yourself apart from your competitors. A bespoke AI tool can provide brands and businesses with features unique to them and their business needs. As a result, companies will benefit from more useful data and better results to make more data-driven decisions for their business. Ultimately, this will help brands to maintain a competitive edge over their competitors, deliver ROI and most importantly optimize their budgets.