Sarosh Hussain
Builds AI that survives production
Plenty of AI demos look impressive. Fewer survive production. Sarosh builds the kind that does. As CTO at Pendoah, he leads AI, cloud, and DevOps programs with a bias for reliability, security, and operational readiness. He has delivered outcomes across industries where downtime and drift cost real money. He writes about architectures that hold up under load, scrutiny, and real-world change.
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Most conversations about automation focus on getting started. The audit, the readiness assessment, the first deployment.
RAND Corporation's 2025 analysis found that more than 80% of AI projects across organizations of all sizes fail to deliver their intended business value.
The 90-day timeline gets mentioned often enough that it has started to sound like a marketing number rather than a real operational commitment.
You have watched competitors announce new technology initiatives. You have seen headlines about productivity gains and cost reductions.
Most SMB leaders approach automation with one of two mindsets: either they assume they are too small or too disorganized to benefit, or they assume any business can deploy a working system immediately with the right vendor.
Most companies try to replace the entire legacy system. Big-bang rewrite. 12-18 months. Millions of dollars. And a 60% failure rate.
Your CTO just approved the database migration. The new cloud warehouse promises 40% cost savings and better performance.
One trusted view of the business. And the freedom for domains to move fast on their own platforms.
Your monolithic application runs as a single unit. One codebase. One deployment. One process. Everything scales together, but with proper AI strategy and architecture.
Every SMB wants to harness AI’s potential, but few understand what it truly takes to get from model to market.
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