15+ years running Entexis. Sits with founders and CTOs from the first scoping call through launch and beyond. Owns the quality bar every engagement is held to, and stays hands-on in the calls where the important decisions get made.

Insights by Sunil

Artificial Intelligence

The AI Audit Trail Every CFO Will Ask For (And How to Build It)

Your CFO will ask 5 specific questions about AI in 2027. The 4 audit artifacts that answer them and the artifact chain pipeline that turns the audit into a database query.

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Artificial Intelligence

How to Pick a Vector Database (And When You Do Not Need One)

Most mid-market AI use cases under 100k chunks do not need a vector database. The 3 architecture patterns (in-memory, embedded, dedicated), the 5 selection criteria when you do need one, and the architecture that makes vector storage decisions reversible.

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Artificial Intelligence

RAG vs Fine-Tuning: When Each One Actually Wins

RAG and fine-tuning solve different problems but most teams treat them as interchangeable. RAG wins 85-90% of mid-market use cases; fine-tuning wins for domain language, format conformance, latency bounds. The 3 cases fine-tuning wins, 5 RAG patterns, 4-layer architecture.

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Artificial Intelligence

AI for Hospitality: How Hotels Are Using AI to Replace 40% of Operational Headcount

Hotels are using AI to replace 40% of operational headcount in specific categories while keeping guest satisfaction stable. The 5 workflows, integration patterns, and workforce transition discipline.

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Artificial Intelligence

The Hidden Architecture of Production AI: From Prototype to Reliable

Production AI is not a hardened prototype; it is a different architecture with 7 explicit layers. The data, model abstraction, retrieval, prompts, evaluation, cost, and observability layers prevent specific failure modes. Build them from day 1 or rewrite within 12 months.

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Artificial Intelligence

Why Legacy Software Modernization in 2026 Is an AI Problem, Not a Code Problem

Most legacy modernization plans are scoped as code rewrites. The 2026 reality: 60 to 80% of legacy workflows should be replaced or augmented with AI, not rewritten.

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Artificial Intelligence

Why AI + Excel Still Wins for 80% of Mid-Market Workflows

The 2026 answer for most operations workflows is not Excel replacement. It is AI wrapped around the spreadsheets your team already knows. The 4 quadrants, 5 patterns, and the hub architecture that scales.

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Artificial Intelligence

AI in WhatsApp Business: 6 Workflows That Actually Move Revenue

WhatsApp is a primary buyer channel in 2026. The 6 AI workflows that account for 80% of the value, the official Business API foundation, and the operational discipline that turns an overwhelming inbox into a tracked revenue channel.

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FAQ

Frequently Asked Questions

Who is Sunil Sethi?

Sunil Sethi is a leader, ai & workflow specialist at Entexis Systems Private Limited. A technology company founder with one belief — the best time to build for a trend is before everyone sees it.

What does Sunil Sethi write about?

Sunil Sethi has published 43 insights covering Artificial Intelligence, Tradingview, Data & Analytics, SaaS Strategy. Every article is written from hands-on client work at Entexis, not summarised from third-party sources.

What is Sunil Sethi's track record?

Can Entexis help with a project like the ones Sunil Sethi writes about?

Yes. Sunil Sethi works alongside a full product and engineering team at Entexis. If a topic on this page maps to something you are planning, get in touch and we will scope it with you.