Artificial Intelligence (AI)

There is lack of clarity around the definition of AI that frequently leads to confusion and outright disagreementin the way the advancements can deliver outcomes. We will use advancements, enabled by adaptive predictive capabilities and exhibiting some degree of autonomous learning, to make advances in automating and enhancing your business.
Pattern Detection
Recognize (ir)regularities in data
Determine the probability of future events
Re-discover rules from data, to optimize process outcomes
  1. Financial advice Re-Defined
    AI can deliver a radically re-imagined customer experience by allowing customers’ finances to run themselves, and acting as a trusted adviser in moments of need
  2. Address the challenges in Risk & Fraud functions points of the financial sector
    Increasing regulatory focus is stressing on institutions’ budgets. Early-stage collective utilities are emerging, backed by key service providers. AI-based transaction monitoring models have an advantage over the status quo.
  3. Lean Processes
    Ever expanding processes need to be streamlined, improved for efficiency, while this helps in reducing costs and freeing up capacity AI allows for analysis and credit decisions to be made promptly, allowing credit to be offered in real time. AI can increase the efficiency of underwriting by reducing error rates, including new datasets and automating risk modelling. AI allows for the truncation of repetitive tasks, reducing the resistance across systems and growing the speed of payments processing and compliance reporting. While extracting data, AI can contextualize data from multiple organizations to automate portfolio construction, speeding up customer onboarding
  4. Custom products at near-zero marginal cost
    Advice and personalization have become key differentiators as platforms and competitive drivers lead to offering products to become increasingly homogenized Provide detailed advice directly to customers in real time Increase the capabilities of sales agents and advisers AI can be used to tailor rewards programmes to individual customer behaviour, helping to maximize customer engagement. AI can automate the generation of very detailed, specific insights to support advisers’ interactions with their clients
  5. Enable better self-serve applications
    Offer always-on personalized experiences across channels. Develop modern, mobile-first insurance offerings Compete to become a provider of invisible payments infrastructure Use existing but unused platforms for distribution
  6. Enhanced decision-making capabilities, unlocking novel insights that drive improved performance
    Predict defaults with greater accuracy. Find new and unique correlations between datasets Improve deal identification, pairing and sales activities Improve trade speed and price using dynamic execution methods