The ability to rapidly create and deploy virtual experts
Sue is a technology that allows experts to transfer their knowledge to computers. This gives the organization the ability to replicate the decisioning performance of the top experts throughout the organization. Sue then allows the company to manage outcomes and adjust the model to its changing needs. Virtual experts have near limitless capacity and can be integrated and deployed anywhere and in any operational environment.
The ability to rapidly create and deploy virtual experts
A Sue virtual expert is built in 4 easy steps:
- Specify what the decision is and what questions you would ask to make the decision.
- Teach. Sue will ask you numerous configurations of your questions to find your underlying rules.
- Calibrate. Optimize your bot to suit your needs.
- Distribute the model throughout your organisation so everyone can benefit from your judgement.
Manage your model
100% Accuracy with decisions to close mining operations. Freeing up senior management to focus on other tasks.
- Change old decisions to influence behaviour.
- Add importance to neglected variables.
- Remove human bias to align decisions to strategy
- Learn the hidden rules that guide ‘expert opinion’ in your organisation.
- All with an easy graphic interface
Make processes transparent
Sue has built in graphic presentations of your decision structure that allow you to:
- Learn what the unconscious processes are in expert decision making
- Make those decisions transparent to the board
- Justify those decisions to regulators
- Change the way they are made in accordance with new guidelines
Other benefits
Mining, production monitoring, industrial processing, high-precision farming, engine monitoring.
- Review past decisions rapidly and detect fraud.
- Receive warning emails when decisions are taken that do not match Sue.
- Use Sue behind the scenes for decision auditing.
SUE Use Cases
Introduction
Where the Sue AI bot is being implemented in the market. This list is not comprehensive as the number and variety of implementations our users are generating are without end.
Monitoring IOT/Telemetry
Automatic Renewals
Sue can approve renewal of risks and bills risks within fuzzy thresholds. Underwriting, Utility Bills
Auditing
In any transactional environment, Sue can read every single transaction and flag outliers and exceptions for human review including fraud, money laundering or pricing. Sue is able to imitate an expert that reads a page of transactions and spots the fraudulent one. Except that Sue can read ALL the transactions in a large organization and never needs sleep. Telecoms, Banking, Finance, Triage of Insurance Claims
Data Enhancement
Sue can predict missing data points in a set using the other data.
Targeted Marketing
You don’t need Cambridge Analytica to target advertisements or profile clients. With a few pieces of information Sue can segment your whole population and send each person the right message. Investment, Retail Deals, Politics
Call Centres Next Best Move
Sue can recommend the next best move based on what is put in on each screen, standardizing service and optimizing flows.
Medical
Trading
Sue is being used to analyse specific metrics, economic indicators, weighted risk parameters and soft input to take shareholding decisions ending in Buy/Hold/Sell. Transaction Pricing, Shares, Currency Trading, BlockChain Smart Contracts, Actutarial Pricing Methodology, Fitment of Statistical curves, Reserve Forecasting
Cyber Risk
Sue can act as a help desk able to run set scripts 24/7 anywhere in the world, detect data breaches and protect database by running scripts and smart approving every db/os action
Onboarding Questionnaires
Most AI engines need 80 pieces of information to fire, leading to client fatigue. Sue can give an initial approval after as few as 3 parameters. Credit cards, Employee applications
Application Selections
Unlike humans, Sue can review every single item offered and give an initial unbiased opinion Underwriting, Risk Selection, Recruitment Selection, Holiday Authorizations, Exploration Predictions
Staff Predictors
Sue can read the psychometric results of a candidate and give you the probability of success in a division based on the results and performance assessments of other candidates.
