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SMEs Harness AI & Cloud for Success
7 Oct
Summary
- Businesses invest in AI, analytics, and cloud for efficiency.
- SME screening focuses on financial quality and growth metrics.
- Three standout SMEs leverage AI and cloud ecosystem exposure.
Enterprise technology spending is increasingly focused on artificial intelligence and cloud adoption. Businesses are investing in generative AI, analytics, and automation to enhance efficiency and build new digital capabilities.
This trend is not confined to large corporations. Smaller listed firms are also actively engaging through AI-led solutions, analytics projects, and cloud services, supported by necessary digital infrastructure for enterprise AI.
Financial quality is paramount, especially within the SME segment. A rigorous screening process for companies with ROCE above 15%, debt-to-equity below 0.5, and positive operating cash flow was applied. Additional criteria included three-year sales and profit growth above 10% and operating margins exceeding 10%.
Three companies stood out, demonstrating profit CAGR above 30% and ROCE above 30%, while actively participating in the AI and cloud ecosystem. These include Systango Technologies, Sahana System, and Workmates Core2Cloud Solution.
Systango Technologies, founded in 2007, offers software and development services, with strategic alliances like its June 2026 agreement with Alibaba Cloud. It specializes in Generative AI services and cloud infrastructure, developing tools like an AI Workbench and AI governance layer.
Sahana System, established in 2012, provides IT services and software development, boasting three-year sales and profit CAGRs of 139% and 122%, respectively, with a 39.8% ROCE. Its AI deployments include a battlefield simulation system and a research analysis platform.
Workmates Core2Cloud Solution, founded in 2018, is an AWS premier consulting partner. It focuses on AI Acceleration and Managed AI alongside cloud migration, with recurring business making up 82.5% of its FY26 revenue and customer retention at 95%.
These companies, while exposed to the AI and cloud theme, do not separately disclose AI-specific revenue, indicating diversified business models. Investors should consider SME-specific risks such as liquidity and reporting frequency, alongside the importance of execution in translating AI and cloud adoption into sustained client wins and healthy margins.
