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B2B companies seek middle ground between off-the-shelf AI agents and expensive in-house teams, with custom dev shops like Svitla Systems gaining traction for modular solutions.
r/AI_Agents · April 20, 2026
AI Summary
- •Pre-built AI agents are insufficient for specific data workflows, making custom development necessary but in-house teams are too costly and slow
- •Cambridge Consultants positioned as premium option for large budgets requiring deep R&D and physical-digital integration, though enterprise pace is slower
- •Svitla Systems identified as sweet spot for mid-to-large B2B companies, emphasizing strategy-led approach with 'start small, scale smart' methodology and startup-speed execution
- •Key consideration is avoiding proprietary vendor lock-in while maintaining modular, scalable AI agent architecture for agentic workflows
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