Professional Services
Case Studies
Newsfor Professional Services
Accenture redeploys after automating tasks with RPA system
Accenture has developed a system, SynOps, for analysing its various data input sources and automating things like contract review. While it has been using this system internally to automate processes in finance, marketing, accounting, and procurement, purportedly resulting in the redeployment of 40,000 staff, it is now selling it tp clients.
Linked use case: Digitise and automate processes using Robotic Process Automation (RPA)
Allen & Overy monitors legal press and media with machine learning
Allen & Overy monitors the legal press and relevant media for their company and their partners by leveraging Signal AI''s machine learning technology. The law firm has been able to make well informed decisions on content topics and outreach plans based on the insight.
Linked use case: Scan social media to discover references to product and competitors for product management purposes
BA-HR reduces legal document review time by a third using a machine learning platform
BA-HR uses Luminance platform to automate clause identification and extraction, as well as recognising clauses written in Norwegian, reducing legal document review by a third.
Linked use case: Automate review of contracts such as NDAs
Baker McKenzie plans to automate part of due diligence via machine learning contract review platform
Baker McKenzie is implementing the machine learning-powered platform eBrevia to streamline M&A activities by identifying the important parts of contracts.
Linked use case: Automate review of contracts such as NDAs
BakerHostetler plans to improve research process efficiency by implementing the ROSS legal bot
BaskerHostetler has entered an agreement with ROSS Intelligence to use its AI chatbot platform, ROSS, to assist its bankruptcy team in research. Lawyers can query ROSS, which then searches through documents and provides relevant answers.
Linked use case: Codify legal expertise for automated deployment
Bloomberg has piloted a short term market forecasting application which uses deep learning to make predictions
Bloomberg and AlpacaJapan have developed an app using deep learning to forecast short-term market prices across major markets based on real-time data from Bloomberg.
Linked use case: Forecast asset pricing based on market patterns
CAS reduces time spent on contract analysis for Brexit implications by 75% using a machine learning platform
CAS is using the Luminance platform to analyse contracts for clauses which could have specific Brexit implications, leading to a 75% reduction in time spent in identifying contract clauses.
Linked use case: Automate contract due diligence
Cambridge Analytica claims to have targeted voters by modelling voter propensity to persuasion through a variety of emotional state approaches
The marketing claims by Cambridge Analytica to have developed an approach to influencing public opinion by driving individualised messaging targeting key emotional states and life approaches has been somewhat walked back in the face of media and, subsequent, regulatory investigation. The role of this in key recent political campaigns including the Cruz and Trump Presidential campaigns remains a matter of dispute.
Linked use case: Predict propensity to support political causes / actors
Capco builds more efficient teams by determining the optimum mix of values with machine learning analysis of online quizzes
Capco, a global business and technology consultancy, uses Saberr''s Analytics AI platform to analyse data collected from personality quizzes to map values of team members and identify the optimum mix and thus the most efficient combination.
Linked use case: Assess compatibility of employees or candidates to form efficient teams
CaseCrunch''s AI program demonstrates greater accuracy predicting the outcomes of historic PPI cases than human lawyers
CaseCrunch tested its AI model against human lawyers to predict the outcome of 800 historic PPI misselling cases, with the model accurately predicting the outcome 87% of the time compared to the lawyers'' 62%.
Linked use case: Predict case including litigation outcomes
Choozle announces partnership with Oracle''s Grapeshot to determine optimal online ad placement and ensure brand safety using AI
Programmatic advertising platform Choozle is implementing Grapeshot''s AI to determine optimal ad placement locations while being brand safe and avoiding negative associations.
Linked use case: Evaluate where brand is appearing to check for inappropriate usage and placement
Dataminr''s alerts its customers in real-time about events that could potentially impact the financial markets by using text mining to collect data from social media
Dataminr''s AI platform analyses hundreds of millions of tweets everyday and classifies them against 30 rules and uses a proprietary classification system to build connections among thousands of companies, tickers, brands, and subsidiaries. They are able to notify customers several minutes before the news breaks out.
Linked use case: Automate customer service disruption alerts
Deloitte saves between 20-90% time in reviewing complex documents such as contracts using machine learning
Deloitte implements Kira systems'' machine learning contract analysis software to review thousands of documents to extract and structure textual information for better analysis. Kira''s Quick Study software reviews contracts, rectifies human errors and produces comprehensive summaries saving hours of manual effort per document.
Linked use case: Automate review of contracts such as NDAs
DoNotPay has succesfully appealed £2 million in parking tickets using a chatbot to contest tickets based on user inputs
The DoNotPay website and Messeger chatbot uses NLP to appeal parking tickets automatically, with an initial 40% claim success rate. The site''s bot is now being implemented for other legal uses, including for refugees legal claims and making complaints against landlords.
Linked use case: Codify legal expertise for automated deployment
Dun & Bradstreet saves 10,000 hours of work annually by using natural language processing to categorise five million firms in its directory
Dun & Bradstreet provides detailed information about five million businesses in the UK. To correctly categories the businesses into 1,000 industry classifications took a team over 10,000 hours annually. Using natural language processing to scan the internet to learn the jargon of a category it for the most part automated the process of business categorisation.
Linked use case: Automatically classify businesses
EY develops embedded audit analytics system, Helix, to automate auditing complex transactions
EY Helix is a machine learning powered embedded audit analytics system developed to automate analysis of transactions such as general ledger transactions and trade payables / receivables to detect mismatches and errors.
Linked use case: Accelerate claims processing by automating processes
Earthport Payment Network reduces false positives of automated suspicious transaction detection using AML risk data in real-time
Earthport implemented ComplyAdvantage''s Transaction Monitoring platform to analyse data in real time to identify and report suspicious payment behaviour which may be linked to money laundering or terrorism-financing. Minimising false positives for this behaviour reduces the amount of human intervention needed making the process more efficient.
Linked use case: Detect potentially fraudulent or nefarious users
Elevate Services reduced contract review time by 55.5% using Kira automated document classification and data extraction
Elevate Services used Kira software to identify document types, identify base contracts in documents, identify foreign languages, and extract specified information (titles, parties, dates etc.) to reduce workload by 5,000 hours and overall review time by 55.5%
Linked use case: Automate legal research through search and referencing of documentation
FICO reduces bank''s losses on delinquent customers by up to 25% with machine learning that predicts consumer credit risk
FICO reduces bank''s losses on delinquent customers by up to 25% with machine learning that predicts consumer credit risk. They used random forest and support vector machine learning algorithms that analysed debt-to-income levels combined with banking transactions.
Linked use case: Analyse credit risk of individual customers
H&R Block improves filing acceptance rates by 10% by monitoring the performance of its online tax filing application and user experience using machine learning
H&R Block monitors the performance of its online tax filing application by automating load balancing and monitoring traffic and stack traces. The application also monitors front-end user experience. Any variations in the network is detected and support team is alerted. New Relic platform also supports DevOps by keeping track of changes and generating alerts in case of deviations.
Linked use case: Automate software testing as part of pre-launch / update process
Illinois Institutes''s Chicago-Kent College of Law researchers predict outcomes of US Supreme Court decisions with 70% accuracy using machine learning
Researchers build a machine learning model to predict whether US Supreme Court decisions will affirm or reject the status quo, both on a case-level and individual judge level, with the model achieving approximately 70% accuracy.
Linked use case: Predict case including litigation outcomes
Infinity Property & Casualty processes claims 35% faster by developing a solution to flag potentially fraudulent claims using machine learning
Infinity Property & Casualty developed a calculate the probability of a claim being fraudulent using rules and machine learning when an accident is first reported. Suspicious claims are forwarded to investigators within 1-2 days from previous 1-2 months. In one month the company was able to increase subrogation recovery by $1 million; after six months, the savings rose to $12 million. Overall claim processing time has been reduced by 35% as a result.
Linked use case: Accelerate claims processing by automating processes
Influential assesses suitability of social media influencers for use in marketing campaigns by analysing social media content using natural language processing
Influential matches social media influencers with brands by analysing influencers'' online content through natural language processing using IBM Watson and asessing them based on 47 personality characteristics.
Linked use case: Identify and incentivise influencer and net promoter networks
JPMorgan reduced lawyers'' hours by 360,000 annually by automating loan agreement analysis with machine learning software COIN
JPMorgan uses its proprietary machine learning software (COIN - Contract Intelligence) to automate the work usually undertaken by lawyers to analyse commercial loan agreements by extracting contract attributes in a few seconds.
Linked use case: Analyse legal documents and extract important data points and clauses
Kingston Smith automates financial auditing by analysing transaction data against users and vendors and identify risk using machine learning
Kingston Smith, an auditing firm, uses MindBridge''s AI platform to analyse all the transaction data available, verifies against business rules and cross-validates against users and vendors. It then models the risk associated with each case and flagging suspicious ones for CPAs to manually inspect.
Linked use case: Predict potential risks in financial audit process