According to a recent LinkedIn post from SiMaai, the company appears to emphasize a workflow-first approach to AI automation, focusing on identifying repetitive, time-consuming tasks before choosing technology. The post describes mapping real-world processes such as emails, orders, requests, and internal questions, with attention to how work is actually performed rather than how it is ideally documented.
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The post suggests that this methodology is designed to avoid misaligned AI implementations that look sophisticated but fail to address key productivity bottlenecks. By building automation around observed patterns in day-to-day operations, SiMaai positions its services as potentially more adoptable and effective, which could support customer retention, expansion opportunities, and pricing power over time.
For investors, this approach may indicate a consultative, higher-touch delivery model that could drive deeper integration with client workflows, but may also require more upfront analysis and professional services resources. If executed efficiently, the strategy could translate into longer-term recurring revenue and differentiated positioning versus generic AI tools, particularly among companies seeking tangible efficiency gains rather than experimental AI projects.