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Managed Services & Support

Continuous optimization, monitoring, and SLA-based support across all platforms.

We don't just build — we operate and optimize. Our managed services team provides continuous Salesforce administration, AWS infrastructure management, AI model monitoring, cloud cost optimization, and SLA-based support to keep your systems running at peak performance.

4Capabilities
3Specialized Services
What We Deliver

Our Capabilities

01

Continuous Optimization & Scaling

We proactively monitor, tune, and scale your systems. From Salesforce org health checks and governor limit optimization to AWS auto-scaling and performance tuning — we ensure your platform grows with your business.

  • Salesforce org health assessments and optimization
  • AWS infrastructure right-sizing and auto-scaling
  • Performance tuning — query optimization, caching, indexing
  • Capacity planning and growth forecasting
  • Quarterly architecture reviews and recommendations
SalesforceAWSGoogle Cloud
Continuous Optimization & Scaling
02

AI Model Monitoring & Tuning

Keep your AI models performing accurately over time. We monitor model drift, accuracy degradation, and cost efficiency — with automated alerts and retraining pipelines to maintain quality.

  • Model performance monitoring — accuracy, latency, cost per query
  • Data drift and concept drift detection
  • Automated retraining pipelines triggered by performance thresholds
  • A/B testing for model versions and prompt variations
  • Cost optimization across AI providers
AWSGoogle Cloud
AI Model Monitoring & Tuning
03

Cloud Cost Optimization

Reduce your cloud spend without sacrificing performance. We analyze your AWS, GCP, and Salesforce costs to identify savings opportunities — from reserved instances and spot pricing to license optimization and unused resource cleanup.

  • AWS Cost Explorer analysis and savings plans
  • GCP committed use discounts and preemptible VMs
  • Salesforce license optimization and user audit
  • Resource tagging and cost allocation by team/project
  • Monthly cost reports with actionable recommendations
AWSGoogle CloudSalesforce
Cloud Cost Optimization
04

SLA-Based Support

Dedicated support with defined SLAs for response times, resolution times, and uptime guarantees. From L1 triage to L3 engineering escalation — we're your extended team for production support.

  • Tiered support: L1 (triage), L2 (resolution), L3 (engineering)
  • Defined SLAs — response time, resolution time, uptime
  • 24/7 monitoring with on-call engineering support
  • Incident management and post-mortem processes
  • Monthly service reports and improvement plans
SLA-Based Support
Case Studies

Managed Services & Support Success Stories

See how we've delivered measurable results with managed services & support.

Managed Services That Scaled a Healthcare Salesforce Org from Startup to Enterprise
99.8%
Platform Uptime
Healthcare

Managed Services That Scaled a Healthcare Salesforce Org from Startup to Enterprise

HealthFirst Networks

HealthFirst's Salesforce Health Cloud instance had grown organically over three years with no dedicated admin team, accumulating technical debt, broken automations, and security vulnerabilities. The organisation was growing rapidly — from 200 to 1,400 users — but could not hire Salesforce talent fast enough, and platform stability issues were affecting patient care coordination across their expanding network of clinics.

SalesforceHealth CloudService CloudData Cloud
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Multi-Cloud Digital Transformation for a Global Enterprise
$18M annually
Technology Cost Savings
Enterprise

Multi-Cloud Digital Transformation for a Global Enterprise

Ascendant Holdings Group

Ascendant, a diversified industrial conglomerate with $8B in revenue across manufacturing, logistics, and professional services divisions, operated 7 different CRM systems, 12 ERP instances, and hundreds of departmental point solutions. Customer data was fragmented across divisions, cross-selling was nearly impossible, and the company was spending $40M annually on technology maintenance with minimal innovation. The board mandated a three-year digital transformation to unify the technology landscape, enable data-driven decision-making, and build a foundation for AI-powered operations.

Sales CloudService CloudMarketing CloudData Cloud
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Building a Patient 360 Platform for a Multi-Hospital Network
31%
Readmission Rate Reduction
Healthcare

Building a Patient 360 Platform for a Multi-Hospital Network

CareVista Health Systems

CareVista operated 12 hospitals and 80+ outpatient clinics with patient data siloed across three separate EHR systems, a legacy CRM, and dozens of departmental spreadsheets. Care teams lacked a unified view of patient interactions, leading to duplicated tests, missed follow-ups, and a 14% readmission rate that was well above the national benchmark.

Health CloudData CloudMuleSoftEinstein AI
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