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 Uniqueness Test: How to Spot Where Your AI Outputs Need Workflows

Your CMO opens 2 proposals: yours and a competitor's. Which is ours? Nobody can tell. This article is about that question and the matrix that answers it.

→

Artificial Intelligence

Why 2027's AI Winners Will Be Built on Custom Workflows

Imagine your AI review in 2027. The productivity charts are gone. Uniqueness scores replace them. The 18 months between now and 2027 is the build window.

→

Artificial Intelligence

Why Common AI Makes Every Business Look Identical Without Workflows

Ask common AI for a hero image. Your competitor gets the same one back. The fix is not a better prompt. It is custom workflows wrapping common AI in your data and voice.

→

Artificial Intelligence

Why Common AI Made Productivity Cheap and Uniqueness Priceless

AI productivity is solved. Every business gets the same lift. The only axis still creating separation is uniqueness, and the businesses that move now win the next decade.

→

Artificial Intelligence

Why Most Businesses Will Do Better With Workflow Automation Than With AI Agents

Your agent demo has been pinned to that Slack channel for 3 quarters in a row. 6 months in, no real work has actually run through it. Meanwhile your invoice routing, ticket triage, lead notifications, and onboarding emails still run by hand. The mistake is not in the build. It is in the question. The unit of automation is not the agent. It is the workflow underneath the task, with 1 AI judgement call only where the work actually needs it. Entexis ran a 500-sample benchmark across 3 architectures on the same model. The hybrid beat the pure agent 4x on cost, 2.3x on latency, 7 points on team routing, and completed every ticket while the pure agent failed on 10. This article walks through what we measured, why workflow automation just got hard to beat, the honest limits, and the 5-step playbook to deliver your first one this quarter.

→

Artificial Intelligence

How AI Contract Intelligence Cuts Contract Review From Days to Minutes

Most growing businesses now sit on a steady stream of contracts (vendor agreements, customer agreements, employment agreements, non-disclosure agreements, master service agreements), and the legal review queue is one of the quietest things slowing the company down. Sales deals stall waiting on a clause review. Procurement teams sit on vendor agreements while legal works its way through the pile. Outside counsel bills climb every quarter. AI Contract Intelligence, built properly, fixes the bottleneck: every clause read in seconds, every risk flagged against your standards, every key term extracted cleanly, with the source quoted on every finding. This article walks through what a properly built tool actually does, where it can go wrong, the honest limits, and the five-step playbook to roll one out this quarter.

→

Artificial Intelligence

How AI Competitor Analysis Replaces Hours of Manual Research With Seconds of Output

Marketing teams burn ten-plus hours a week on competitor research that is half-stale by the time the deck is ready. Sales reps lose deals because they cannot answer "how is this different from the other tool we are looking at?" Product teams deliver features that competitors had six months ago. The reason is not effort. Every team has someone watching competitors. The reason is that manual research does not scale and generic competitive-intel tools produce dashboards full of numbers that do not actually answer the question. AI competitor analysis, built around your real competitive set and your real positioning axes, produces clean side-by-side comparisons in seconds, refreshable any time. This article walks through what a properly built analyzer actually does, where it can go wrong, the honest limits, and the five-step playbook to roll one out this quarter.

→

Artificial Intelligence

How AI Document Q&A Turns Years of PDFs Into Answerable Knowledge

Open the shared drive at almost any growing business and the same picture shows up: thousands of PDFs, hundreds of contracts, a years-deep wiki, and nobody who can find anything fast. The same questions get asked of subject-matter experts every week, audits surface conflicting answers from different teams, and new hires take months to learn their way around the documents. AI Document Q&A, built properly, fixes the problem: every question answered in plain language, every answer quoted from the actual document, every quote linked to the exact page. This article walks through what a properly built Document Q&A system actually does, where it can go wrong, the honest limits, and the five-step playbook to get one live this quarter.

→

<<<234 5 6 >>>

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.