To be more specific about the financial services use of AMPLYFI AI, we support:

• Credit Risk Analysis – assessing and then monitoring organisations for emerging risk signals that could affect their ability to honour credit, allowing more proactive management of risk and a better-priced book
• Investment – identifying, conducting due diligence into and monitoring portfolios of investment companies related to their propositions, growth and risks, enabling teams to select the right partners and better manage their rate of return
• New Business – helping Financial Services teams to identify organisations who may want to engage them based on their changing strategies and situations that power better outreach and earlier engagement
• Relationship Managers – empowering account-driven teams to understand sector and organisational changes and proactively offer insights that enable them to become trusted advisors

AMPLYFI AI empowers financial services teams to:

• Become more proactive by reacting earlier to opportunities and threats
• Be more consistent and data-driven in their approach to decision-making around risks, relationships and go to market
• Save thousands of hours of manual research and analysis time

AMPLYFI AI helps due diligence teams in financial services organisations to:

• Gather huge volumes of information from the surface and deep web
• Filter to just the information that matters, based on dozens of prebuilt filters and alerts
• Combine huge numbers of documents in automated reports, saving thousands of hours of analysis time

AMPLYFI AI supports credit risk analysis in financial services organisations to:

• Unearth patterns of risk information with just a few clicks from across the surface and deep web
• Link these patterns back to the source materials
• Summarise the risks into succinct, referenced reports in a few minutes

AMPLYFI AI identifies financial services sales opportunities earlier by:

• Allowing New Business teams to define their own language-driven opportunity triggers
• Harvesting and analysing millions of new documents every week and allowing teams to target specific sources of interest
• Sending simple email summaries when interesting signals are found, saving New Business teams hundreds of hours

AMPLYFI AI supports Relationship Managers (RMs) in financial services to build deeper relationships in several ways:

• Driving insights from across the RMs sector so they can advise their customers better
• Gathering organisational knowledge from customers so the RM knows the opportunities and threats in the account
• Sending succinct update emails to RMs so they never miss an insight

Whilst AI is transforming financial services, several challenges exist in generalist AI tools, that platforms like AMPLYFI are systematically overcoming:

• Bias – AI tools are often subject to biases in their training data leading to results that are misleading or skewed – AMPLYFI specifically works with customers to ensure content is accurate to their needs
• Hallucinations – Generative AI tools often create false information that can look plausible to users – AMPLYFI removes these instances and always references source information
• Explainability – AI tools are often “a black box” with no way to understand how outputs were created – AMPLYFI provides an auditable source trail
• Repeatability – AI tools often create different outputs, even with the same inputs – AMPLYFI combines AI with more consistent Machine Learning techniques to ensure consistency

Market intelligence is a strong area for financial institutions interested in artificial intelligence as it offers a low-risk, high-reward space. Using external, publicly available information to support use cases like Due Diligence, Credit Risk, Opportunity Identification and Relationship Management is not subject to the same levels of information security rigour as private and personally identifiable data, whilst still offering good potential returns by improving decision making.

The impact of artificial intelligence in financial services is already being felt across the sector – with increased amounts of automation and new services launching weekly. In the coming years, AI will continue to be embedded into various use cases, becoming the norm, rather than the exception. Interesting areas of development include:

• More Personalised Solutions – better tailored to the exact needs of the customer, using AI to create and manage them
• Faster Customer Service – With increased automated and proactive support and advice for customers, aiming at reducing churn and increasing upsell
• New Credit Risk Products – driven by increased data, faster, more tailored, and reaching markets that have previously been challenging to underwrite, such as Cryptocurrencies
• Better Decision Making  – combining internal and external data with AI analysts to provide decision-makers in Financial Services tailored advice, based on their exact context and decision