Case Studies

CHALLENGE

Monthly expense and grant application workflows relied on Excel and paper, creating single-person dependencies. Staff turnover stalled operations, and month-end processing led to chronic overtime.

SOLUTION

Mapped the entire application workflow through structured interviews, identified bottlenecks and inefficiencies, then designed and implemented a new flow combining cloud forms with automated aggregation tools.

OUTCOMES

• Monthly processing workload

  ≈60% reduction

• Single-person dependency

  Eliminated (quality maintained after staff change)

• Month-end overtime

  Chronic → resolved

CHALLENGE

Order processing and customer service were handled differently by each staff member, causing inconsistent quality and rising costs. Existing manuals were outdated and ignored in practice.

SOLUTION

Conducted workflow analysis to understand actual operations, identified waste and redundant steps, redesigned the flow, and implemented system improvements alongside process standardization and adoption support.

OUTCOMES

• Service quality

  Standardized and consistent

• Staffing

  Optimized while maintaining quality level

• Manuals

  Redesigned to reflect actual workflows — actively used

CHALLENGE

Internal questions about company rules, tools, and procedures flooded Slack and email channels. Core team members spent significant time answering routine queries instead of focusing on their primary work.

SOLUTION

Categorized and analyzed inquiry volume and priority to define what could be auto-answered. Designed and built a generative AI chat system trained on internal documents and FAQs.

OUTCOMES

• Routine inquiries

  ≈70% handled automatically by AI

• Core members' response time

  Significantly reduced

• Focus on primary work

  Restored

CHALLENGE

Aging on-premise servers drove rising maintenance costs, with incident response dependent on specific individuals. After-hours and weekend emergency responses were routine, distracting from core business.

SOLUTION

Inventoried and analyzed the existing infrastructure, designed an optimal AWS architecture, developed and executed a phased migration plan, then established automated monitoring and alerting for self-sustaining operations.

OUTCOMES

• Server maintenance cost

  Significantly reduced

• After-hours incident response

  Eliminated through automated monitoring

• Infrastructure

  Migrated to scalable cloud platform