AI agents are the buzz — but putting them into production reveals challenges that the hype doesn't mention.
We deployed 50+ AI agents in a bank's onboarding flow, automating 70% of customer interactions while meeting compliance.
In production, stability matters more than novelty.
AI agents are the buzz — but putting them into production reveals challenges that the hype doesn't mention. Real-World Issues Context loss over long conversations Integration failures with legacy tools… This article reflects practical delivery experience across generative AI, machine learning, automation, and product engineering work for startups and growing software teams.
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SoftUs delivery team
Field notes from engineers who ship AI every week. No abstract takes, no listicle filler.
Bring the problem. We'll help shape the product, define the architecture, and show the fastest path to a serious first version.
A practical first roadmap in the discovery call
Architecture, timeline, and delivery options in plain English
Security, scalability, and reliability discussed upfront
Model registry
softus-rag-v4.2
187ms
Latency
128k
Context
$0.004
Cost / req
Evaluation suite
Deploy pipeline
prod / canary 25% — healthy
