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7. Use Cases ​

7.1 Multi-Agent Collaboration/Automation ​

  • Multi-Department Agents:

Customer Agents

  • Functions:
    • Automate customer support responses via chat or email.
    • Provide product recommendations based on user behavior.
    • Handle order tracking, refunds, and inquiries.
    • Proactively follow up with customers for feedback or promotions.
  • Example: A customer agent resolves FAQs about delivery delays or provides real-time product recommendations.

Employee Agents

  • Functions:
    • Manage HR workflows like leave requests, payroll queries, and benefits explanations.
    • Assist with onboarding by explaining company policies and processes.
    • Schedule meetings, send reminders, and organise employee data.
  • Example: An employee agent can automatically approve standard leave requests and update calendars.

Code Agents

  • Functions:
    • Generate boilerplate code snippets or refactor existing code.
    • Assist developers with debugging and testing.
    • Provide recommendations for API usage and best practices.
    • Automate code review processes for compliance and quality.
  • Example: A code agent suggests optimised SQL queries for better performance.

Data Agents

  • Functions:
    • Analyse data trends and generate reports.
    • Automate data cleaning, transformation, and preparation tasks.
    • Assist with database queries and visualisations.
    • Monitor data pipelines and notify stakeholders of anomalies.
  • Example: A data agent identifies sales trends from historical data and predicts future demand.

Security Agents

  • Functions:
    • Monitor for security breaches and unusual activity.
    • Enforce compliance by validating user permissions and auditing logs.
    • Automate incident response workflows and update security protocols.
    • Detect and flag phishing attempts or malware.
  • Example: A security agent blocks access from suspicious IP addresses and alerts the admin.

Creative Agents

  • Functions:
    • Generate content like blog posts, marketing materials, and social media captions.
    • Assist in design tasks by providing suggestions or creating mock-ups.
    • Automate video and audio editing processes.
    • Ideate and brainstorm new product features or campaigns.
  • Example: A creative agent drafts a campaign slogan and designs a matching poster.

These agents can be customised further to match organisational needs, integrating with existing workflows to maximize productivity.

  • Low-Code Management:
    • Users configure processes and set trigger conditions in aevatar Dashboard.
    • Agents automatically execute according to event flow once instructed.

The above task‐based orchestration allows G‐agents to operate independently yet coordinate seamlessly, leveraging each agent's expertise to handle complex objectives more efficiently.

7.2 Social Media Agents ​

Telegram/X Adaptation

  • Multi-Agent Deployment:
    • Deploy multiple specialised agents to handle different aspects of user interaction. For example:
      • Support Agent: Answer FAQs and resolve issues.
      • Marketing Agent: Share promotional content, announcements, and campaigns.
      • Community Agent: Facilitate group discussions and engage in user feedback collection.
    • Assign agents to handle specific time zones for 24/7 coverage.
  • Communication Channels and Language Support:
    • Integrates seamlessly with popular messaging platforms like Telegram, X (formerly Twitter), Facebook Messenger, WhatsApp, and WeChat.
    • Supports multilingual communication using real-time language translation to engage with users worldwide.
    • Customises responses based on regional dialects, cultural nuances, and preferences.

7.3 Industry Agents in Blockchain, Finance, Manufacturing ​

  1. Blockchain Agents
  • Smart Contract Analysis Agents:
    • Fetching and Parsing:
      • Automatically fetch smart contract texts from blockchain networks (e.g., Ethereum, Solana, Ton, aelf).
      • Parse contracts to understand logic and identify vulnerabilities using advanced NLP models.
    • Risk Detection:
      • Perform comprehensive static and dynamic code analysis to identify potential security risks like reentrancy, overflow, or access control issues.
      • Compare contracts against known patterns of vulnerabilities and flag anomalies.
    • Anomaly Alert Agents:
      • Push real-time alerts to operational agents or dashboards if anomalies, bugs, or unauthorised changes are detected.
      • Integrate with security agents to automatically initiate remediation steps, such as freezing contract actions.
  • Cross-Chain Operation Agents:
    • Monitor and validate cross-chain transactions to ensure interoperability.
    • Track chain height, transaction integrity, and synchronisation across multiple blockchain environments.
  • Tokenomics Monitoring Agents:
    • Track token supply, demand, and liquidity across exchanges.
    • Alert stakeholders of deviations or risks, such as inflation, imbalance, or insufficient liquidity.
  1. Finance Agents
  • Fraud Detection Agents:
    • Monitor and analyse real-time financial transactions to identify fraud (e.g., double spending, unauthorised withdrawals, or account breaches).
    • Use machine learning to continuously adapt and improve detection algorithms.
  • Portfolio Management Agents:
    • Analyse historical and live market data to optimise portfolio allocations.
    • Provide personalised investment suggestions based on risk appetite and goals.
    • Offer rebalancing strategies in response to market shifts or changing investor profiles.
  • Compliance Agents:
    • Automate the tracking of financial activities for AML (Anti-Money Laundering) and KYC (Know Your Customer) compliance.
    • Generate compliance reports for regulators and flag suspicious activities for review.
  • Customer Insight Agents:
    • Segment customer profiles and suggest personalised financial products (e.g., loans, credit cards, or insurance policies).
    • Predict creditworthiness and risk using AI-powered financial modelling.
  1. Manufacturing Agents
  • IoT Monitoring Agents:
    • Continuously monitor IoT sensors on production lines to detect issues like temperature fluctuations, abnormal vibrations, or energy inefficiencies.
    • Generate real-time alerts to maintenance teams for proactive repairs.
  • Fault Diagnosis Agents:
    • Combine IoT data with LLM capabilities to diagnose machine failures and recommend corrective actions.
    • Cross-reference historical maintenance records and expert data for enhanced accuracy.
  • Production Optimisation Agents:
    • Analyse production data to recommend workflow improvements, resource allocation, and energy optimisation strategies.
    • Simulate alternative manufacturing scenarios to support decision-making.
  • Supply Chain Agents:
    • Track inventory levels and suggest restocking or redistribution of raw materials.
    • Monitor supply chain logistics to identify bottlenecks or inefficiencies, ensuring seamless production flow.
  1. Cross-Industry Capabilities
  • Data Analysis and Visualisation Agents:
    • Aggregate and analyse data across blockchain, finance, and manufacturing domains.
    • Generate insightful, real-time dashboards for stakeholders to monitor key metrics and performance.
    • Provide predictive analytics to help businesses stay ahead of potential risks or opportunities.
  • Decision-Support Agents:
    • Assist leadership in making informed decisions by generating actionable recommendations from data-driven insights.
    • Simulate "what-if" scenarios to evaluate the impact of different strategic options.
  • Custom Alerts and Notifications:
    • Notify stakeholders of critical updates, anomalies, or emergencies through email, Slack, Telegram, or other preferred channels.
    • Enable customisable alert thresholds to prioritise the most critical notifications.