Karishma Gupta
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Best Enterprise AI Search Platforms (Glean Alternatives Compared)
Enterprise AI search is no longer just about putting a chatbot over company documents. The real buying decision is how well a platform connects business data, respects existing permissions, retrieves useful evidence, and turns that information into reliable answers. Glean…
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Shadow AI: How to Discover and Govern Unsanctioned AI Usage
Shadow AI is no longer limited to employees opening ChatGPT without telling IT. AI usage now appears through SaaS applications, browser extensions, coding assistants, direct model APIs, local models, AI agents, and MCP connections. Some of these tools are easy…
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Best LLM Security Tools for Enterprise AI Deployments
Enterprise AI security has moved beyond protecting a model from a bad prompt. Production AI systems now connect models to company data, retrieval systems, APIs, plugins, tools, agents, and sometimes external MCP servers. That creates several places where an attacker…
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EU AI Act Compliance Software: What the August 2026 Deadline Actually Requires
The 2 August 2026 EU AI Act deadline arrived, but it did not make every high-risk AI system subject to the full high-risk compliance regime. That distinction matters. The AI Omnibus entered into force on 27 July 2026 and changed…
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How to Monitor AI Agents in Production: Metrics, Tooling and Failure Modes
AI agents are harder to monitor than chatbots for one simple reason: there is much more happening between the user’s request and the final answer. A chatbot might receive a question, call an LLM, and return a response. An agent…
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Self-Hosted vs SaaS LLM Observability: Deployment & Compliance Matrix
Your AI application may be running inside your own cloud account, but that doesn’t necessarily mean your observability data is. A trace can contain much more than latency and token counts. Depending on how the application is instrumented, it may…
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Langfuse vs LangSmith: Which LLM Observability Stack Fits Production?
Two LLM observability platforms can show you traces, evaluate model outputs, and track what happens inside an AI application, yet feel completely different once you actually build with them. That difference matters more in production than it does in a…
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Best LLM Observability Platforms for Production AI Systems
An AI application can return a perfectly normal response and still have something seriously wrong underneath. Maybe the model is taking too long to answer. Maybe token usage has quietly doubled. A RAG application could be pulling irrelevant documents, or…
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What to Look for in Route Optimization Software
Route optimization software can cut planning effort, improve fleet utilization, and help operations teams make better dispatch decisions. But those benefits depend heavily on how well the platform models the realities of your network. A routing engine that simply finds…
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How SaaS Teams Can Improve Customer Onboarding
Customer onboarding is one of the most operationally important stages of the SaaS customer lifecycle. A poor process increases support volume, delays product adoption, and creates unnecessary churn risk before customers have experienced meaningful value. Effective SaaS onboarding requires more…
