About Us
Case Study 1: $500K+ Annual Savings Through Technology Consolidation
Client: Mid-market energy services company, 500+ employees
Challenge: The client’s IT budget was growing faster than revenue, driven by redundant licenses, underutilized platforms, and vendor sprawl across multiple acquisitions.
What we did: Conducted a comprehensive license and technology spend audit across Microsoft 365, Azure, endpoint management, and third-party tools. Identified overlapping capabilities, negotiated vendor consolidations, and redesigned the licensing model to match actual usage patterns.
Result: Over $500,000 in documented annual savings. IT budget reallocated toward modernization initiatives that had been deferred for two years.
Case Study 2: Enterprise Cloud Transformation
Client: National healthcare equipment company, 300+ employees
Challenge: The organization was running entirely on legacy on-premises infrastructure with aging hardware, limited remote work capability, and growing security concerns.
What we did: Designed and executed a phased migration to 100% cloud-based infrastructure using Azure and Microsoft Intune. Migrated NAS file shares to SharePoint, moved from Skype for Business to Teams, implemented Microsoft AutoPilot for device deployment, and established Conditional Access policies.
Result: Deployment time reduced by 70%. Full remote work capability. Eliminated on-premises server maintenance costs. Zero unplanned downtime during the 6-month transition.
Case Study 3: AI Adoption Strategy for Enterprise Workflows
Client: Multi-location services organization
Challenge: Leadership recognized that AI could improve operational efficiency but had no framework for evaluation, no internal expertise, and concerns about data security and reliability.
What we did: Developed an AI adoption roadmap focused on secure, practical workflow automation. Assessed high-value use cases across operations, customer support, reporting, and internal knowledge management. Established governance standards for data privacy, tool selection, employee usage, and measurable ROI. Piloted AI-assisted workflows to reduce repetitive administrative work and improve decision-making speed.
Result: Created a clear enterprise AI adoption framework with prioritized use cases, security guardrails, and implementation phases. Reduced uncertainty around AI deployment and positioned leadership to adopt AI responsibly while targeting measurable efficiency gains.
