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Wingman AI assistant

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Wingman AI assistant

WINGMAN AI:
Fayrix's Generative AI Assistant Tool

Corporate Wingman is Fayrix's AI assistant solution customized for specific businesses using available public, private or hybrid data sets.

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What is Wingman AI assistant?

Corporate Wingman is Fayrix's AI assistant solution customized for specific businesses using available public, private or hybrid data sets.

AI assistants – are relatively small software assistants that help employees perform everyday tasks. They function based on a large volume of unstructured knowledge – general, corporate-owned or domain-specific. In recent years these solutions have reached a new advanced stage of development from GPT to realistic digital humans.

Data retrieval

AI assistant can retrieve relevant data from unstructured documents and third-party sources (Internet). It can query databases, scrape websites, access APIs, or use other methods to access data.
Smart search & data summarization

Conducts automatic search and analysis, retrieving information from open sources or company data.
It generates brief summaries using advanced search algorithms and natural language processing, helping users quickly obtain key insights.
Natural language communication

AI assistant can understand natural language queries (text & voice). This involves techniques such as named entity recognition, part-of-speech tagging, and parsing to understand the structure and meaning of the user's input.
Automation of repetitive tasks.
Texts & documents generation.

AI can automate repetitive and routine tasks (workflow automation, task prioritization, scheduling and calendar management, etc.), generate texts and documents by analyzing company or domain-specific knowledge.
Creative content creation

Creating original content for websites, ads, graphics, and videos. Researching, editing, and optimizing content, enabling efficient and effective content creation.
Deep analysis & insights mining.

AI assistant digs deep into data to uncover valuable insights and patterns. It uses advanced algorithms and machine learning techniques to analyze large data sets, identify trends, and extract useful information.

Data retrieval

AI assistant can retrieve relevant data from unstructured documents and third-party sources (Internet). It can query databases, scrape websites, access APIs, or use other methods to access data.

Smart search & data summarization

Conducts automatic search and analysis, retrieving information from open sources or company data.
It generates brief summaries using advanced search algorithms and natural language processing, helping users quickly obtain key insights.

Natural language communication

AI assistant can understand natural language queries (text & voice). This involves techniques such as named entity recognition, part-of-speech tagging, and parsing to understand the structure and meaning of the user's input.

Automation of repetitive tasks.
Texts & documents generation.

AI can automate repetitive and routine tasks (workflow automation, task prioritization, scheduling and calendar management, etc.), generate texts and documents by analyzing company or domain-specific knowledge.

Creative content creation

Creating original content for websites, ads, graphics, and videos. Researching, editing, and optimizing content, enabling efficient and effective content creation.

Deep analysis & insights mining.

AI assistant digs deep into data to uncover valuable insights and patterns. It uses advanced algorithms and machine learning techniques to analyze large data sets, identify trends, and extract useful information.

Typical AI-enabled business process

Reasons to use FAYRIX'S WINGMAN AI

The US averages annual productivity growth of 1.4%, while the EU sees growth of 0.8%. Traditional methods of increasing productivity produce minimal growth. Fayrix offers a revolutionary solution. A recent study by Nielsen Norman Group shows that AI assistants such as Wingman can improve corporate productivity by up to 66% across a variety of business areas, surpassing the benefits of traditional methods such as business process improvement or digitalization.

IMPROVE PRODUCTIVITY
AI assistants implementation can raise productivity up to 130% depending on activity type.

According to Nielsen Norman Group study, 2023

IMPROVE QUALITY
AI can improve output quality and efficiency by using vast amount of pre-collected knowledge.

LESS TIME ON EDUCATION
"Experience" is already available. AI assistants implementation enables business to spend less time on employee education and get them to work faster.

IMPROVE CORPORATE KNOWLEDGE
AI accumulates experience while performing tasks. That leads to significant volume of new knowledge for business which did not exist before.

Code review and programming productivity growth

Business documents creation productivity growth

Customer support productivity growth

Of average productivity growth while using AI in business

WINGMAN in action

AI assistants come in various forms, including corporate chatbots, integrated AI assistants, and autonomous AI assistants, each serving distinct purposes and functions. These assistants leverage artificial intelligence technologies to enhance productivity, streamline workflows, and improve user experiences.

Corporate chatbots are AI-powered virtual assistants designed to enhance communication and efficiency within businesses (well-known GPT-like user interface with web-based chat window to interact with AI assistant). These intelligent bots are programmed to engage with employees, customers, or stakeholders through chat interfaces, providing instant support, answering inquiries, and automating routine tasks.

24/7 Availability
Multichannel support & scalability
Cost savings by reducing human work
Automation of repetitive tasks.
Personalize interactions based on user preferences
Data Collection and Analysis
Consistent responses, ensuring unified communication

Integrated AI assistants are multipurpose AI tools that can be easily integrated into various platforms or systems to improve user experience and streamline workflows. These assistants use advanced algorithms and natural language processing to perform tasks such as scheduling appointments, managing calendars, conducting research, and providing personalized recommendations.

Seamless integration with corporate systems
Personalized recommendations and responses
Automation of repetitive tasks
Enhanced User Experience
Scalability to accommodate evolving business requirements
Enhancing decision-making with data analysis.

Autonomous AI assistants are advanced artificial intelligence systems capable of operating independently to perform tasks and make decisions without constant human oversight. These assistants leverage machine learning algorithms, natural language processing, and other cutting-edge technologies to understand and execute complex tasks across various domains.

No human employees involved
Integrated into existing corporate software
Based on corporate and domain knowledge
No changes in existing business workflows
Automated quality & performance control
Wide range of integration scenarios

Automated in-system data processing
Automated data quality assurance
Customer documents processing
No-human customer support messaging
Recommendations & customer self-service
documents processing
Automated order processing
Transactions analysis & fraud prevention
Automated up- and cross-sales

Possible areas of Implementation

Autonomous AI assistants enhance efficiency across various domains by excelling in automated data processing and quality assurance. They streamline document handling and customer support messaging, while also providing personalized recommendations and facilitating self-service. Additionally, they contribute to transactions analysis and fraud prevention, bolstering security measures effectively.

Basic process of typical AI implementation

Average Wingman AI implementation from early idea to production stage within 3-5 months.

Preliminary business needs discussion

Understanding the goals and state of the client's business. We provide insights and examples of how AI can solve these issues. Usually held in form of 1-2 conf-calls or offline meetings.
Outcome: analytical paper/detailed proposal.
Terms: 1 week.

1
Exploring existing corporate knowledge

Analysis of existing corporate documents templates, formats & general data workflow. Preparing data retrieval framework, experiments & quality evaluation.
Outcome: ready-to-use data retrieval framework (libraries, tools, etc.)
Terms: 2 weeks.

2
Model selection & training

Set of experiments to choose appropriate AI models depending on business task & corporate requirements. Making decision on most-effective training model. Preparation of training datasets. Models deploy & training.
Outcome: deployed & trained AI models.
Terms: up to 1 month.

3
Building a pilot Chat Assistant

Launch of a pilot AI assistant based on trained and prepared models to test with business end users, probably – within existing business processes.
Outcome: pilot corporate AI assistant (Web chatbot).
Terms: 1 week.

4
AI Assistant tests

Testing of pilot AI assistant, obtain feedback from beta end-users, revise quality & speed (may require to re-train models).
Outcome: QA report, proven AI models.
Terms: 2 weeks.

5
Production launch
& Integrations

Development & integration of production AI assistants into corporate workflow, deployment & QA.
Outcome: set of AI assistants fully integrated into real corporate workflow.
Terms: up to 1 month.

6

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Wingman AI for industries

Companies can use Wingman AI to unlock a multitude of advantages for the internal business operations. From streamlining customer service to optimizing internal workflows and augmenting decision-making processes, Wingman AI offers a versatile solution for businesses. Through Fayrix's Discovery Session, tailored applications of Wingman AI can be identified to address unique business objectives and challenges.

Diagnosis & pathologies detection

AI can analyze images (x-ray, CT, MRI, etc.) And recognize pathologies, speeding up the work of doctors and making their lives easier.

Disease forecasting

AI assistants can compare large amounts of patient data and predict the likelihood of diseases occurring. This allows for timely intervention and resource allocation.

Automation of laboratory processes

AI can speed up the process of sample analysis and testing in medical laboratories. Ai-controlled robotic systems can handle tasks such as sample sorting, pipetting, and sample preparation.

Patient monitoring

AI health tracker monitoring the patient's condition (data collected from devices on the person's body), issuing warnings about critical conditions, and triggering emergency assistance.

Telemedicine service

AI-powered chatbots can be used to provide instant responses to common questions from patients and streamline communication, make appointments.

Psychological scoring

The main task of ai scoring in the field of healthcare is segmentation of the client base in order to optimize marketing activities and increase their effectiveness.

Adaptive learning

AI analyzes students' progress and difficulties, providing additional materials and exercises for better understanding.

AI-generated learning materials

AI assists students in creating learning materials by providing suggestions, summarizing content, and even generating new materials. For teachers – it helps in lesson planning, schedule management, and processing administrative requests.

Tutoring chatbots

On-demand assistance AI-powered chatbots provide instant help and clarification to students on specific topics, serving as virtual tutors outside of regular classroom hours (providing relevant additional materials, cases, etc.)

Assessment and testing trends

AI algorithms can automatically grade objective questions (multiple-choice, true/false), as well as analyze written responses against predefined rubrics (essays and open-ended questions).

Curriculum alignment

AI analyzes global education trends and curriculum changes, helping educational institutions stay updated and align their offerings with evolving standards.

Sentiment analysis

Early intervention for mental health: AI analyzes written content, such as essays or forum posts, to identify signs of emotional distress, enabling early intervention and support for students' mental health.

Demand forecasting

AI analyzes historical sales data, market trends and other factors to generate a forecast. This helps service providers optimize inventory levels, reduce stockouts and improve overall supply chain efficiency.

Paperwork automation

AI is used for text and image recognition to automate paperwork - automatic recognition of checks, receipts, invoices, contracts, etc.

Chatbots and virtual assistants

AI-powered chatbots can be used to provide instant responses to citizen queries and streamline communication, collect opinions and influence citizens' sentiments.

Price optimization

AI algorithms analyze market conditions, competitor pricing, and consumer behavior in real-time. It helps retailers to optimize pricing dynamically to match changing market conditions.

Personalized product offers

AI may help in generating personalized recommendations for clients by analyzing data about past purchases and preferences. Cross and up-sale to existing clients via CRM.

AI fraud management

AI systems integrate with payment gateways to assess transaction risk factors and detect potentially fraudulent payments. It also may use facial recognition technology.

Internal chat-bot for employees

Internal chat assistant integrated into corporate messaging platforms providing employee access to business data, regulations, reports and forecasting capabilities.

Product definition & pricing

Insurance product invention & specification by means of market, competitors and customer feedback analysis.

Improved risk inspection, analysis & forecasting

Company-wide risk management based on previous knowledge, current portfolio, market regulation and domain knowledge. Recommendations & automated deal parameters change.

Automated claims management

AI assistant to process claims in autonomous mode, including claims data retrieval, pre-decision making, request for additional data and final set of document preparation.

Automated sales execution & underwriting

AI assistant to execute full process of insurance product sales & client underwriting, including price definition, risk measurement & documents processing.

Account & contract management

Automated management of account relations, contract extensions & changes depending on past experience, generation of documents, ai-based cross and up-selling.

Route optimization

Optimization of logistics routes based on cost, timing and available transportation options. AI assistants continuously monitor real-time data and can dynamically adjust routes in response to unexpected events.

Warehouse optimization

AI analyzes historical sales data, market trends and other factors to generate an accurate forecast. This helps service providers optimize inventory levels, reduce stockouts and improve overall supply chain efficiency.

Defect detection

AI may help in product inspection and defect detection processes. It analyzes product images and can identify defects (cracks, dents, changes in color, size), even those that may not be visible to the human eye.

Chat-bot for customers & employees

AI-powered chatbots improve customer experience by providing real-time updates on shipments, answering queries, and facilitating communication between logistics providers and customers.

Documents & reports generation

Automated preparation of the necessary reports for regulatory organizations in accordance with the law. Formation of accompanying documents for cargo and customs clearance documents.

Cross-border compliance

Global trade regulations: ai assists in navigating complex international trade regulations and customs requirements, ensuring compliance and reducing the risk of delays and penalties.

Chatbots and virtual assistants

AI-powered chatbots can be used to engage with users on websites or mobile apps, answering questions, guiding users through processes, and facilitating routine interactions.

Client finance management

AI assistants can analyze users' financial data to offer personalized financial planning advice, including budgeting, saving, and investment recommendations.

Smart onboarding

Automatic analysis of the documents provided, verification and validation, assessment of solvency, drawing up a risk profile, generating a service agreement with the appropriate parameters.

Demand forecasting

AI analyzes historical sales data, market trends and other factors to generate a forecast for banking products and services. This helps finance organizations to plan the workload and marketing activities.

Documents & reports generation

Automated preparation of the required reporting for higher authorities and regulatory organizations in accordance with legislation, recommendations, and other requirements.

Product definition & pricing

Creating new financial products based on an analysis of the organization's audience and its characteristics, analysis of competitors and regulatory requirements.

Documents & reports generation

Preparation of analytical and reference documents based on discussion materials, technical specifications, tasks in task trackers, and source code.

Network design and planning

AI assistants analyze network requirements, traffic patterns, and performance metrics to automatically generate optimized network topologies that minimize latency and enhance efficiency of work.

Performance analysis

Automated analysis of performance metrics (code commit frequency, issue resolution time), comparing team performance to industry benchmarks to provide insight into areas that may need attention.

Resource planning

AI assistants help in streamlining processes, optimizing resource allocation, and improving overall project efficiency. AI algorithms can distribute tasks among team members, considering their current workload.

Code lint & generation

Automatic analysis and checking software code for errors and inconsistencies. Automatic code generation based on technical specifications and analytical materials.

Automated project estimation

AI-powered projects estimation in terms of cost and implementation time, depending on the goals and objectives, tools used and available resources.

Documents examination

Examination of documentation for government contracts to ensure compliance with regulatory documents, recommendations, and legislation.

Anomaly detection

AI algorithms can analyze large data sets to identify irregular patterns or anomalies that may indicate potential cases of corruption.

Predictive police service

AI algorithms analyze historical data to predict crime hot spots, allowing law enforcement to allocate resources more effectively.

Performance analysis

Analysis of the government performance depending on target indicators and citizen satisfaction. Natural language processing (NLP) algorithms analyze public feedback and identify areas that require attention.

Documents & reports generation

Automatic preparation of procurement and tender documentation for projects. Automated preparation of the required reporting for higher authorities and regulatory organizations.

AI fraud management

AIenhances the analysis of cybersecurity threats and vulnerabilities, improving the public sector's ability to safeguard sensitive information and systems.

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