Automating HR Communication with Gen-AI for LinkedIn Posts
Executive Summary
QloudX partnered with one of the leading global IT services and consulting companies to implement a Generative AI–driven automation solution that streamlines HR communications on LinkedIn. By leveraging AWS Cloud and Amazon Bedrock, QloudX enhanced the company’s digital presence and employer branding through automated, on-brand, and timely HR posts—reducing manual workload and ensuring consistency across all employee engagement updates.
The Challenge
As the employee base expanded, the HR team faced increasing workload in managing routine communication posts for LinkedIn. Each post had to be individually written, reviewed, and published, often leading to:
About Our Customer
Our customer is an India-based technology consulting and digital engineering company that helps enterprises modernize through innovation and agility. Focused on delivering next-generation solutions in cloud, data, and digital transformation, the company is recognized for its strong people-first culture and commitment to fostering an engaging workplace.
- Delays in publishing timely content, such as birthday or festival greetings.
- Inconsistent messaging tone and quality across posts and HR team members.
- Repetitive manual effort, diverting HR bandwidth from higher-value tasks.
- Lack of a centralized workflow for draft review, approvals, and scheduling.
- Limited scalability as the number of events increased with growth.
The customer needed a solution that could automate this content generation while maintaining a personal and human tone, with flexibility for final review and approval.
AWS lays the foundation
To ensure rapid deployment, scalability, and high availability, the solution was built using serverless and managed services from AWS. The architecture was designed to handle multiple events per day across employee groups and support future expansion to other social channels like Instagram and Facebook.
AWS Services
The Gen-AI powered HR post automation platform was built using a combination of AWS managed services to ensure scalability, low latency, and secure integration with enterprise systems. Key services included:
- Amazon API Gateway - Acts as the front door to securely expose REST APIs that receive event triggers (e.g., birthdays, joiners) from the customer’s HRMS system.
- AWS Lambda - Serverless compute that processes the incoming event, calls Bedrock for post generation, and orchestrates logic for saving drafts and fetching images.
- Amazon Bedrock – Used to generate human-like, event-specific LinkedIn posts using foundation models (e.g., Claude or Titan), customized with prompt templates.
- Amazon S3 – Stores reusable brand assets such as images, logos, and templates that are dynamically attached to LinkedIn posts.
- Amazon RDS (MySQL) – Acts as the primary database to store post drafts, metadata (event type, HR approval status), and final post history.
- Amazon Route 53 + Application Load Balancer (ALB) – Provide secure, highly available routing to the HR frontend application used to review, edit, and approve posts.
- Amazon EKS (Elastic Kubernetes Service) – Hosts the frontend HR dashboard that enables users to view drafts, edit content, and approve or reject posts. The EKS cluster ensures container-based scalability, availability, and maintainability.
- LinkedIn API (external) – Once a post is approved by HR, the system programmatically publishes it using LinkedIn’s official API.
- AWS Identity and Access Management (IAM) – Controls secure access between Lambda, RDS, Bedrock, and S3, and ensures least-privilege access across system components.
This architecture enables seamless integration with the customer’s HRMS, automates repetitive HR communication tasks, and ensures human oversight with the flexibility to edit or approve posts before they go live.
The QloudX Partnership
QloudX acted as both a cloud implementation expert and an AI enabler, empowering our customer to enhance their digital capabilities and deliver innovative solutions. Through close collaboration, QloudX provided the technical expertise, architectural design, and implementation support necessary to ensure seamless and efficient project execution.
Beyond the core technical delivery, QloudX added value by:
- Understanding the customer’s vision to modernize employee engagement and social outreach
- Collaborating closely with HR and IT teams to define clear business goals, governance standards, and measurable outcomes
- Analyzing existing workflows and internal policies to align technology with operational needs
- Identifying secure and scalable automation opportunities to enhance solution delivery and overall efficiency
Our Solution
QloudX delivered an AI-powered automation platform that:
- Generates LinkedIn post drafts using prompts based on HR categories (e.g., new hires, recognition, events).
- Learns company tone and branding style using historical posts.
- Enables review and approval via a simple dashboard.
- Automatically schedules publishing through LinkedIn API integration.
- Analyzes engagement metrics to continuously improve AI output.
The architecture comprised of a setup that demands three EC2 instances which required elastic IP addresses. The architecture incorporated an IIS and an application server, both created within the AWS account and configured with IIS settings on the IIS server. The SQL server, originally hosted on-premises, was migrated to AWS using the Application Migration Service, to operate within the AWS environment. All instances were situated in the public subnet, each associated with an elastic IP address. Additionally, the CloudWatch agent and SSM are configured within the EC2 instances.
Moreover, a robust monitoring and alerting system was implemented to ensure optimal performance. CloudWatch was utilized to monitor the EC2 resources metrics. This helps to catch any problems early on, so that they can be fixed quickly. Alerts and notifications were configured to inform the relevant stakeholders in case metrics crossed the defined threshold. The IAM role was also attached to the EC2 instances, which have policies providing access only to the required services.
CICD pipeline using the codepipeline which is a cross-account pipeline was also implemented. Once the artifact is pushed in the codecommit which triggered the pipeline which deployed it to the dev environment then it moves to approval and once it is approved it deploys to the production.
The system is fully serverless, scalable, and easy to maintain — reducing HR team workload by up to 70%.
Impact and Results
Within the first quarter of rollout, the customer achieved:
- 80% reduction in manual effort spent on routine HR communications.
- 100% timely publication of event-based posts, improving employee satisfaction and brand consistency.
- Consistent tone across all posts, aligned with company branding guidelines.
- Faster onboarding of new HR team members, due to simplified workflows.
- Scalable framework ready to support other use cases like internal newsletters or blog posts.
With the Gen-AI powered platform, HR now spends more time on strategic tasks while maintaining high-quality communication at scale.
MSP LifeCycle
QloudX delivered Managed Services using its Plan–Build–Run–Optimize model:
Plan
Baseline assessment of workloads, IAM practices, tagging, and monitoring.
Defined governance models for cost, security, and compliance.
Build
— Established cost and security monitoring by deploying necessary AWS services.
— Integrated Azure AD with AWS SSO, ensuring streamlined access management.
— Designed tagging strategy and being followed for tagging compliance.
— Introduced compliance dashboards for proactive oversight.
Run
— Enabled daily/weekly compliance reporting to detect and remediate non-compliant resources.
— Conducted IAM user cleanup, enforced MFA, and strengthened security groups.
— Monitored S3 policies, lifecycle management, and CloudWatch log retention.
— Continuous cost monitoring with Savings Plans, Reserved Instances, and rightsizing actions.
Optimize
— Increased AWS Security Hub score from 55% baseline to 85–90%+ across their multiple AWS accounts (9+), sustaining posture.
— Implemented cost optimization strategies, reducing cloud spend while improving performance.
— Enhanced governance through proactive reporting and regular stakeholder reviews.
— Pushing for SPP.
This lifecycle ensured Customer AWS environment remained secure, efficient, and continuously optimized.
Key Deliverables & Capabilities
Proactive Operations: Monitoring & Automation
— Deployed AWS Security Hub, Config and GuardDuty via Audit account to centralize security monitoring and reduce operational overhead.
— Established SNS alerting for GuardDuty findings.
— Established Cost monitoring with Budgets, Billing Alarms and Cost Anomaly Detection.
Governance & Compliance: Security Posture Hardening
— Enabled daily/weekly compliance reporting.
— IAM user cleanup, MFA enforcement, and strong password policies.
— Security group hardening for network defence.
— Continuous improvement of AWS Security Hub score.
Identity & Access Management
— Seamless Azure AD–AWS SSO integration, centralizing identity control.
— Precise permission and access protocols to reinforce security.
Value Realization: Cost Optimization & FinOps
— Structured cost governance model with tagging enforcement.
— Adopted Savings Plans and Reserved Instances to optimize predictable workloads.
— Rightsized EC2 instances and optimized S3 lifecycle policies.
— Achieved 15% to 20% cost reductions while improving performance.
Collaboration & Transparency: Reporting
— Delivered monthly Cloud Usage, Cost Optimization, and Security Reports.
— Provided clear visibility into utilization trends, compliance gaps, and cost-saving opportunities.
AWS Lays the Foundation:
QloudX leveraged AWS-native services to deliver proactive governance, security, and cost management.
AWS services
Operational Efficiency & Automation
— AWS Systems Manager for task automation and consistency
— CloudWatch & Systems Manager for monitoring and automation
Security & Compliance
— AWS Security Hub & AWS Config for security visibility and compliance enforcement
— IAM, MFA, and Security Groups for a strong security baseline
Identity & Access Management
— IAM integrated with Azure AD SSO for centralized and scalable identity management
Monitoring & Logging
— CloudWatch for infrastructure monitoring and log management
Storage Optimization
— S3 Policies and Lifecycle Management for data governance and cost efficiency
Cost Management & FinOps
— AWS Budgets, Cost Explorer, Savings Plans, and Reserved Instances for structured cost optimization
Outcomes
Operational Resilience & Efficiency
— Automated daily /weekly compliance reporting
— IAM cleanup, MFA enforcement, and security group hardening
— Reduced manual effort, enabling teams to focus on strategic initiatives
Enhanced Security Posture
— Improved AWS Security Hub scores from 55% to 85–90%+ across accounts
— Continuous monitoring and remediation for sustained compliance
— Strengthened security baseline with IAM, MFA, and Security Groups
Modernized Identity & Access Management
— Centralized access via Azure AD–AWS SSO integration
— Eliminated manual IAM overhead
— Ensured alignment with enterprise security standards
Resource & Storage Optimization
— EC2 rightsizing and S3 lifecycle policies for efficient resource utilization
— Reduced waste and improved performance
Cost Optimization & FinOps Maturity
— Structured FinOps practices: Budgets, Billing Alarms, Cost Explorer, Anomaly Detection
— Achieved 15–20% AWS cost reduction through Savings Plans, Reserved Instances, and EC2 rightsizing
— Improved forecasting and early anomaly detection
Governance & Executive Visibility
— Monthly consolidated reports for clear visibility into usage, cost, and security
— Enabled data-driven decision-making and proactive planning
— Established tagging compliance and long-term governance guardrails
Conclusion
Through this Managed Services partnership, QloudX enabled CUSTOMER to transform AWS operations into a secure, cost-optimized, and continuously improving environment. By combining proactive monitoring, security hardening, FinOps governance, and transparent reporting, CUSTOMER gained measurable business benefits — lowering costs, strengthening compliance, and achieving operational maturity across its AWS footprint.
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