Stabilizing & Scaling Enterprise Support (L1 & L2) for a Multi-Application Ecosystem

Success Highlights

Achieved 5–10% year-on-year productivity gains across support levels

Reduced response times from ~2 hours to ~30 minutes within 90 days

Continuous improvement in MTTR and first-time resolution rates.

Key Details

Scope: Enterprise Support Transformation (L1 & L2) Platform: Salesforce-based multi-application ecosystem + AWS-hosted services

Support Model: 24×7 operations and 12×7 production support, proactive monitoring, incident/problem/change governance

Business Challenge

Client’s support organization needed standardization, scalability, and stronger operational rigor to keep up with increasing complexity and demand across systems and business towers.

Inconsistent Service: Lack of a standardized framework led to fluctuating response times.
High Escalations: L1 teams struggled with complex issues, driving an increase in POD escalations.
Manual Processes Repetitive tasks reduced efficiency and slowed resolution
Unstructured Management:
Incident, problem, and change management lacked consistency and discipline.

Our Solution Approach

We executed a phased approach focused on scalability, efficiency, and service excellence, turning support into a high-performing, cost-efficient, resilient operation with clear goals and measurable outcomes.

1 · Discover

Establish an Enterprise Support Framework

Structured BT operations and production support with clear L1, L2, and L3 role definitions.
Built operational clarity around ownership, escalation paths, and SLAs.

2 · Transist

Transition & Enable Knowledge

Shifted from onshore to a fully offshore model to improve cost efficiency and scale.
Ran shadow + KT sessions to ensure seamless business and technical handover.

3 · Transfom

Streamline Support

Delivered a complex 90-day transformation for a multi-layered Salesforce architecture.
Enabled custom modules and multi-platform integrations across business towers.
Defined and implemented a high-performance, scalable support framework.

4 · Accelerate

Extend Coverage + Run Operations Like a Product

Enabled 24×7 operations and 12×7 production support with proactive monitoring. Took ownership of core ops tooling and observability across AWS, New Relic, Informatica, and PostgreSQL (Heroku).

Technical Highlights

 Multi-layer Salesforce support for custom modules and cross-platform integrations
 ITIL-aligned incident, problem, and change workflow standardization
Proactive monitoring and operations ownership (AWS + New Relic)
Automation runbooks and repetitive-task elimination using AI/automation concepts
Offshore operating model with structured KT, shadow support, and defined L1/L2/L3 governance


request = intakeTicket(channel, severity, application)
request = enrichWithContext(request) # app ownership, recent changes, monitoring signals
routeToL1(request)

if L1_canResolve(request):
resolve(request)
else:
escalateToL2(request)

if
L2_requiresSpecialist(request):
escalateToL3(request)

applyITILWorkflow(request) # incident/problem/change linkage + approvals
notifyStakeholders(request)
closeWithRCAIfNeeded(request)

Business Outcomes

Transformed a legacy system into a secure, cost-efficient, and scalable healthcare platform.

10%

Year-on-Year Productivity Gains
Achieved 5–10% across all support levels

98%

Faster Response Times
Reduced response time from 2 hours to 30 minutes within 90 days

40%

Improved Quality of Service
Boosted first-time resolution and reduced MTTR for faster support.

Boosted first-time resolution and reduced MTTR for faster support.
Increased efficiency across all support levels.
Elevated customer satisfaction through targeted programs.

Ready to Streamline Your Support Framework?

Transform your support operations into a high-performing, scalable framework with 24×7 coverage

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