AWS Managed Services Implementation for iSEEit Inc.
iSEEit Inc., a Salesforce-integrated sales management platform provider based in Austria and the United States, helps global enterprises streamline sales workflows, qualify leads, and close deals efficiently within Salesforce. To enhance scalability, security, and operational excellence for its AI-driven sales automation platform, iSEEit partnered with HabileLabs to deploy a fully managed AWS environment under AWS Managed Services (AMS), ensuring continuous monitoring, automation, governance, and cost optimization.
The Challenges
Manual Infrastructure Management
Frequent manual patching, monitoring, and configuration led to operational inefficiencies and downtime risks.
Workflow Bottlenecks
Sales and legal teams relied on manual sales reviews and inconsistent data, leading to slow decision-making and forecasting inaccuracies.
Compliance & Security
As a data-driven SaaS provider, iSEEit required strong data governance, encryption, and access control policies to ensure customer trust and regulatory compliance.
Scalability & Performance
The growing demand for real-time AI insights required scalable infrastructure that could handle large document volumes and analytics workloads without latency.
Cost Management
Legacy systems incurred high operational costs due to overprovisioned resources and inefficient usage patterns.
Disaster Recovery & Availability
Ensuring minimal downtime and data loss during system failures or regional outages was a key business priority.
The AWS Managed Services Solution
HabileLabs implemented AWS Managed Services (AMS) to migrate, operationalize, and continuously optimize iSEEit’s GenAI-powered SalesAI platform on AWS.
Managed Infrastructure Operations
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Core workloads, including AI-driven APIs, sales analytics, and document intelligence modules, were migrated to Amazon EC2 and ECS, managed under AMS for automated patching, monitoring, and maintenance.
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AWS Systems Manager (SSM) automated configuration management, compliance checks, and controlled access for DevOps teams.
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AMS provided operational dashboards for uptime visibility, incident tracking, and SLA adherence.
High Availability and Resilience
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Multi-AZ architecture ensured fault tolerance across EC2, ECS, and Amazon RDS (Multi-AZ).
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Elastic Load Balancer (ELB) distributed workloads efficiently, while AWS WAF protected against web-based threats.
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AMS proactively monitored system health, enabling automated failover and near-zero downtime operations.
Compliance and Security Management
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AMS enforced governance guardrails through Service Control Policies (SCPs), IAM role segregation, and access reviews.
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AWS KMS and Secrets Manager ensured end-to-end encryption and secure credential management.
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Continuous compliance validation was achieved using AWS Config, CloudTrail, and AMS-integrated audit frameworks.
AI and Workflow Integration
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Amazon Bedrock powered GenAI-based document summarization, intelligent Q&A, and context-aware insights embedded directly within Salesforce workflows.
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OpenSearch Serverless enabled semantic search and retrieval-augmented generation (RAG) pipelines.
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AMS managed the AI infrastructure lifecycle, ensuring scalability, reliability, and model performance monitoring.
Cost and Performance Optimization
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AWS Compute Optimizer and AMS cost analysis identified overprovisioned resources, achieving a 30% cost reduction.
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Savings Plans and auto-scaling policies dynamically adjusted workloads during high-traffic sales cycles.
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Continuous performance tuning by AMS improved API response times and data retrieval efficiency.
Automation and CI/CD Management
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CodePipeline, CodeBuild, and CodeDeploy, managed under AMS governance, enabled automated deployments with rollback support.
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AMS implemented change management controls to maintain release consistency and compliance across environments.
Monitoring and Incident Management
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Amazon CloudWatch and AWS GuardDuty, integrated with AMS, provided proactive alerting and anomaly detection.
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AMS operational teams executed automated runbooks for incident response, significantly reducing Mean Time to Recovery (MTTR).
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Incident Management: AMS automated runbooks enabled swift incident detection, response, and resolution, minimizing downtime and ensuring service continuity.
Disaster Recovery and Data Continuity
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AMS deployed automated backup and restore mechanisms using Amazon Backup and S3 versioning.
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Achieved RTO < 10 minutes and RPO < 5 minutes, ensuring business continuity across regions.
Business Outcomes
Why iSEEit Chose AWS Managed Services with HabileLabs?
- Continuous Compliance and Governance with AMS guardrails and automated auditing.
- 24×7 Monitoring and Incident Management for uninterrupted service delivery.
- Automation-Driven Operations reducing manual intervention and downtime risks.
- Salesforce + GenAI Integration Expertise ensuring high-performance AI-driven workflows.
- Cost-Effective Scalability through AMS-driven optimization and auto-scaling.
- End-to-End Managed Experience - from infrastructure setup to steady-state operations under AMS.
By adopting AWS Managed Services, iSEEit Inc. achieved a secure, compliant, and optimized cloud environment powering its AI-driven sales workflows with high reliability and speed. HabileLabs’ AMS implementation enabled centralized governance, automation, and cost efficiency. This managed foundation empowers iSEEit to scale globally, innovate faster, and deliver data-driven sales intelligence with the reliability and security of AWS.