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November 25, 2025

Virkam Das

Here's what most cloud engineering teams are dealing with today: 30-40% cloud overspend and engineers burning 10-15 hours per week just trying to understand their bills and usage patterns. That's not high-value work – that's grunt work.
At Yasu, we're building AI agents that work differently. Think of them as new team members you can assign sequential tasks to, with the ability to apply judgment. Not just answer questions, but actually complete the work.
This is fundamentally different from what we saw 2 years ago. RAG models and early GenAI let you query documents and get answers. But you still had to do the work. With agents, you assign the task and they execute it.
Here's a real example: Instead of spending your Friday afternoon digging through CloudWatch logs to find why your EC2 costs spiked 40% last month, you assign an agent: "Investigate our compute spike, identify the root cause, and give me rightsizing recommendations with projected savings." The agent analyzes usage patterns, identifies that 12 instances are over-provisioned for actual load, calculates that moving to smaller instance types saves $4,200/month, and drafts the implementation plan. You review, approve, done.
Why this works for cloud management: This has traditionally been consultancy territory because the impact is massive and there's limited room for error. You're not doing this for fun – you're doing it because a 1% optimization across a $2M annual cloud spend is $20K back in your budget. That's real impact.
We want engineering teams focused on building product and strategic infrastructure work. Our agents handle the repetitive analysis, anomaly detection, and optimization recommendations – the stuff that drains time but doesn't move the needle on your roadmap.
Importantly: we always keep humans in the loop. Any changes, any recommendations, any actions – there's always someone reviewing and approving. Agents augment your team, they don't replace judgment.
This is where cloud engineering is headed. The grunt work gets automated. Your team focuses on what matters.

Virkam Das
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