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Streamlining Recruitment with I-JobzAlert by iSteer

In today’s competitive talent market, efficient recruitment processes are crucial for organizational success. iSteer’s I-JobzAlert offers a comprehensive solution, streamlining recruitment for HR and business leaders by automating job market information gathering and analysis.

What is I-JobzAlert?

I-JobzAlert is an innovative solution that leverages web scraping, data filtering, and Generative AI to efficiently gather, analyze, and present relevant job market information. This empowers organizations to make data-driven decisions and gain a competitive edge in talent acquisition.

Our Multi-Faceted Approach to Job Market Intelligence

I-JobzAlert integrates several key modules to provide a comprehensive recruitment solution:

  1. Automated Data Collection: Your Personalized Job Market Scanner

Automated data collection using web scraping techniques extracts crucial job opening details from various online sources. This eliminates the need for manual searching and ensures comprehensive coverage of the job market.

  • How Data Collection Works:

    • Targeted Scraping: The system intelligently targets relevant job boards, company websites, and industry-specific platforms.
    • Data Extraction: Key job details are extracted, including job titles, locations, company names, required skills, and more.
  • Why Automated Collection Matters:

    • Efficiency: Saves valuable time and resources by automating the tedious process of manual job searching.
    • Comprehensiveness: Ensures a wider range of job openings are considered, leading to better talent acquisition.
  1. Intelligent Data Filtering: Your Precision Targeting Tool

Intelligent data filtering, powered by location-based filters and other criteria, refines the collected data. This ensures HR and business leaders receive only the most relevant job openings aligned with their specific needs.

  • Filtering in I-JobzAlert:

    • Location-Based Filtering: Focuses on specific geographic areas to target local talent pools.
    • Customizable Filters: Allows for additional criteria (e.g., job title, skills, experience level) to further refine results.
  • Why Intelligent Filtering Matters:

    • Relevance: Reduces information overload by focusing on the most pertinent job openings.
    • Precision: Enables targeted recruitment strategies based on specific needs.
  1. Gen AI-Powered Data Structuring: Your Data Organization Expert

Gen AI algorithms intelligently analyze unstructured data, identifying key entities and their relationships. This transforms raw data into a structured format (e.g., JSON), making it easier to manage and analyze.

  • Gen AI in Our System:

    • Entity Recognition: Identifies key elements like job titles, locations, company names, and required skills.
    • Relationship Mapping: Understands the connections between different data points for a holistic view.
  • Why Gen AI-Powered Structuring Matters:

    • Organization: Transforms messy data into a usable and organized format.
    • Analysis: Facilitates data analysis and reporting for informed decision-making.
  1. Appsteer Integration: Your Centralized Recruitment Hub

Processed job opening data is seamlessly integrated into Appsteer, providing centralized access and management of all recruitment-related information.

  • Appsteer Integration in Our System:

    • Centralized Dashboard: Provides a single platform for viewing and managing all job opening data.
    • Data Visualization: Offers tools for visualizing data and identifying trends.
  • Why Appsteer Integration Matters:

    • Streamlined Workflow: Simplifies recruitment management by consolidating all information in one place.
    • Improved Collaboration: Facilitates collaboration among HR and business leaders.
  1. AI Chatbot Integration: Your Conversational Recruitment Assistant

The AI chatbot within Appsteer enables conversational data retrieval. HR and business leaders can quickly retrieve specific job openings by simply asking questions.

  • AI Chatbot Functionality:

    • Natural Language Processing: Understands conversational queries for intuitive interaction.
    • Personalized Responses: Provides tailored job opening information based on user requests.
  • Why AI Chatbot Integration Matters:

    • Accessibility: Provides easy and on-demand access to relevant job openings.
    • Efficiency: Saves time by allowing quick and conversational data retrieval.
  1. Data Delivery & Communication: Your Proactive Information Source

Automated email notifications alert HR and business leaders to new job opening data. Dedicated company drive folders with CSV files provide easy access and further analysis.

  • Data Delivery & Communication in Our System:

    • Automated Emails: Proactively informs users about new job openings.
    • Dedicated Drive Folders: Provides a secure and organized location for storing and accessing data.
  • Why Data Delivery & Communication Matters:

    • Timeliness: Ensures users are promptly informed of new opportunities.
    • Convenience: Provides easy access to data for further analysis and use.

Conclusion: Your Strategic Partner in Talent Acquisition

I-JobzAlert, developed by iSteer, empowers organizations to streamline their hiring processes and gain a competitive edge in the talent market. I-JobzAlert instills trust in the hiring process with its comprehensive and efficient approach.



iSteer StackWatch AI Agent – Cut Through the Noise, Get to the Root, Resolve Faster

iSteer StackWatch AI Agent – Cut Through the Noise, Get to the Root, Resolve Faster

In IT operations today, many hours are lost not in fixing problems—but in simply trying to understand what the problem actually is. Critical incidents often set off a chain reaction: conference calls begin, support groups light up on Teams, someone logs into TIBCO Administrator, another checks EMS queues, another sifts through Splunk logs. Yet after 15 minutes, three people, and five different systems, the answer is often still elusive: “Is the app even running?”

This is the heart of the challenge. Too much time gets lost in chasing information before resolution even begins. Every minute spent hunting for logs, dashboards, or process health is a minute that business systems remain down and customers are impacted.  

This is exactly the problem that the iSteer StackWatch AI Agent is designed to solve.  

At iSteer, we’ve spent years helping enterprises modernize their integration and support landscapes. StackWatch AI Agent is the next step in that journey — born from real-world problems in TIBCO ecosystems, designed hand-in-hand with support teams, and powered by AI to scale with your evolving needs.

Our vision is to turn every support desk into a smart desk — one where AI augments human expertise, so critical incidents are resolved faster, risks are detected earlier, and teams can operate with confidence.

The Challenge: Too Many Systems, Too Much Delay

Imagine this scenario:
A P1 ticket lands — a critical application is failing to transform messages to the CRM system. Within minutes, chat groups go live and multiple teams scramble to investigate.

  • Someone logs into TIBCO Administrator to check deployments.

  • Another digs into EMS queues using GEMS or CLI.

  • A different engineer fires up Splunk and runs raw log queries.

  • Meanwhile, messages fly across Teams channels: “Any update? Is the app even running?”

By the time an answer takes shape, it has consumed 15 minutes, 3 people, and 5 different systems. Multiply this across dozens of incidents, and the operational drag becomes enormous.

The question is simple: What if these answers were available instantly through a single conversational interface?

Meet StackWatch AI Agent: The Future of IT Ops Assistance

StackWatch AI Agent turns natural queries into instant, actionable insights. Instead of hunting across tools, your teams can simply ask:

  • “How many pending messages are in queue sample?”

  • “Show me last 10 errors for App X.”

  • “When was the last deployment for this app?”

The Agent securely connects to TIBCO EMS, TIBCO Administrator, Splunk, and Confluence, interprets the query using NLP, executes the right commands in real time, and responds back directly within familiar collaboration channels like Microsoft Teams.

StackWatch replaces complexity with clarity.

 Key Capabilities of StackWatch AI Agent

1. TIBCO EMS Integration
From queue health checks to listener monitoring, StackWatch leverages NLP to instantly surface EMS insights. No need for CLI commands or GUI logins — your teams can:

  • Monitor pending message counts for queues and topics.

  • Retrieve queue listener counts.

  • Identify consuming applications.

  • Run real-time health checks by simply asking in plain English.

2. TIBCO Administrator Integration
Application availability directly impacts business outcomes. StackWatch transforms how ops teams track deployments and application health:

  • Get the deployment status of any app on demand.

  • Retrieve last deployment timestamps.

  • List active, swapped, or aborted processes.

  • Monitor overall app health and availability continuously.

3. Splunk & Log Analysis
Searching logs shouldn’t require coding expertise. With StackWatch, teams can type natural queries like:

  • “Show last 10 errors for App X.”

  • “Fetch errors in the last hour for service Y.”

The Agent automatically translates the request into a valid Splunk query, executes it, and returns results in real time. It even builds sample queries when needed, turning complex syntax into simple human understanding.

4. Confluence Knowledge Access
Support doesn’t stop with systems — knowledge and documentation are just as critical. StackWatch integrates with Confluence to:

  • Fetch application overviews and architecture diagrams.

  • Provide direct links to runbooks.

  • Identify owners and points of contact (POCs).

  • Streamline onboarding by surfacing dependencies and guides instantly.

 StackWatch AI Agent Architecture  

The diagram shows how Microsoft Teams connects through Azure Bot Services to power natural queries, which are interpreted by AI (LLM) and passed to backend systems like Tibco EMS, Tibco Administrator, Confluence, and Splunk. The seamless flow illustrates how StackWatch serves as a bridge between human queries and complex enterprise systems.

 Capabilities in Action  

  1. Real-Time EMS Visibility  

Support can instantly:  

– Check pending message counts.  

– Monitor queues and topics.  

– Identify which apps are consuming queues.  

  1. Application Health Checks  

Teams no longer guess about deployments or app status. They can:  

– Retrieve health and availability instantly.  

– Track lists of active, swapped, or aborted processes.  

– Confirm when the last deployment occurred.  

  1. Automated Log Retrieval  

Without learning Splunk syntax, users can type:  

– “Errors from the last 30 minutes for BillingApp.”  

– The agent automatically builds the query, executes it, and returns results.  

  1. Knowledge at Your Fingertips  

Onboarding or escalation made easy with:  

– Links to runbooks.  

– Owner/POC information.  

– Architecture overviews that normally take time to dig out of Confluence.  

 Business Benefits  

Faster Incident Resolution: Eliminate delays caused by tool-hopping and cross-team dependencies. Teams get instant answers, reducing Mean Time to Resolution (MTTR).

Improved Productivity: Free support staff from repetitive queries. Let AI handle the basics so humans focus on complex troubleshooting.

Reduced Errors: Manual queries and lookups are prone to mistakes. StackWatch ensures precision every time with consistent, automated retrieval.

Knowledge Access Anywhere: New joiners and seasoned engineers alike can access documentation and process runs without sifting through multiple Confluence spaces.

Better Collaboration: Direct integration with Teams means everyone stays aligned, updated, and informed — without toggling screens.

 Why iSteer StackWatch AI Agent

At iSteer, we design solutions with one guiding principle: make technology work for people, not the other way around.

With StackWatch:

  • AI reduces incident chaos to simple clarity.

  • IT and support teams get time back.

  • Organizations shorten MTTR, save costs, and improve customer satisfaction.

StackWatch is not just another monitoring interface — it’s an intelligent agent that always knows where to look and how to answer.

StackWatch AI Agent — Faster insight. Smarter support. Better business.  

 
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