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AUTHOR PROFILE  ·  THE PRACTICAL CTO

Ayan Sarkar

Chief Technology & AI Officer  ·  Co‑Founder, Webskitters

Ayan Sarkar writes The Practical CTO — practical analysis of enterprise AI, technology architecture and leadership for CTOs, founders and boards. He co-founded Webskitters in 2010 and today leads its technology and AI direction, working where business ambition, architecture and artificial intelligence meet.

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Ayan Sarkar, Chief Technology & AI Officer, at his desk at the Webskitters office
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CO-FOUNDED

Webskitters, 2010

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ROLE

Chief Technology & AI Officer

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FOCUS

Enterprise AI · Architecture · Leadership

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RECOGNITION

Webskitters in the Forbes India | D Globalist DGEMS Select 200 (2025)

ABOUT AYAN

Technology leadership with a business perspective.

Ayan co-founded Webskitters in 2010 alongside his brother and business partner, Atanu Sarkar, the company’s CEO. Since then his work has moved from building software to building the capability behind it — the architecture, teams and operating practices that let technology keep delivering as an organisation grows.

As Chief Technology & AI Officer, he brings technology strategy and artificial intelligence into one conversation: which capabilities a business should build, where intelligence can genuinely improve how it operates, and how leaders should guide that change. He approaches those questions through architecture, commercial context and organisational readiness.

Through The Practical CTO he shares that thinking openly — long-form analysis, decision frameworks and a LinkedIn newsletter — built on one conviction: a technology idea only matters when a team can operate it, improve it and take responsibility for it. Read the longer story ↗

AREAS OF EXPERTISE

Where he spends his thinking.

Enterprise AI strategy

Moving from experimentation to governed, measurable adoption: use-case portfolios, readiness, operating models and AI governance.

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Private LLMs & enterprise knowledge

LLMs, RAG, model routing and permission-aware retrieval — designed around the information need, not a preferred model.

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Agentic AI for enterprise

Agents, multi-agent systems and MCP: which decisions can be delegated, and where people must stay in control.

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Technology strategy & CTO advisory

Roadmaps, modernisation and technical due diligence, connected to commercial priorities and delivery capacity.

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HOW HE WORKS

01

Ownership over dependency

Clear responsibilities give people room to make decisions. Leadership should strengthen judgment across the organisation, not concentrate every answer in one person.

02

Architecture over shortcuts

The quickest route today can become tomorrow’s constraint. Make the important trade-offs explicit, including the ones that preserve room to change.

03

Accountability over experimentation

Exploration needs a purpose and a responsible owner. Turn learning into decisions about what to keep, improve, stop or scale.

SPEAKING & CONVERSATIONS

AI, made practical — from the room, not the slides.

Ayan speaks about the move from AI experimentation to operating capability: enterprise AI strategy, agentic systems, private LLMs and the leadership questions they raise.

Webskitters was featured in the DGEMS Select 200 at the Forbes India | D Globalist DGEMS 2025 Entrepreneur Mobility Summit.

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ARTICLES BY AYAN

Published thinking.

  • September 2026

    Multi Agent Systems as Software: a Control Checklist

    If AI is software, we can engineer it like software. Here’s a concrete checklist to make agentic systems predictable without killing flexibility.

  • September 2026

    AI Adoption Strategy for Frontline Smart Glasses, 2026

    Meta’s latest push has put AI smart glasses back on the agenda. Here’s a calm, practical brief for leaders deciding whether and how to pilot them with frontline teams in 2026.

  • September 2026

    Microsoft’s New Copilot Is an AI Operating System for Work

    Home, Code and Autopilot turn Copilot from an assistant into an AI operating system for work — with persistent agents, citizen-built software and consumption pricing. Here is what CTOs and boards should…

  • September 2026

    Private LLM for Enterprise: When It Is Worth It

    Private LLM for enterprise, honestly assessed: the four deployment models, the guarantees each one actually buys, the total cost people underestimate, and a decision checklist.

  • September 2026

    The AI Readiness Assessment: 20 Questions Before You Build

    A practical AI readiness assessment: 20 questions across strategy, data and knowledge, people, operations and governance that tell you whether to build now or fix foundations first.

  • September 2026

    An AI Governance Framework CTOs Can Actually Run

    A practical AI governance framework for CTOs: four operating layers — accountability, risk, controls and evidence — mapped to NIST AI RMF and the EU AI Act, with a cadence you can…

  • September 2026

    CTO vs CIO vs Chief AI Officer: Who Owns AI?

    CTO vs CIO vs Chief AI Officer — a practical look at what each role owns, why AI cuts across all three, and how to decide who should be accountable in your…

  • September 2026

    Reworking CI for AI Teams with Multi-Agent Systems

    AI code generation made CI the new bottleneck. Here’s a concrete blueprint to restructure CI/CD so PRs stay fast without torching your compute budget.

  • September 2026

    Claude Opus 5.5 for Enterprise Private LLMs: A Decision Brief

    A practical, engineering-first brief on evaluating Claude Opus 5.5 for your stack: how to benchmark, reason about cost/latency, test tools, and migrate safely.

  • September 2026

    MCP for Enterprise Commerce Agents: A Practical Playbook

    Amazon blocking Meta’s Muse is a reminder: respect the rails. Here’s how I design commerce agents that stay compliant and reliable in the real world.

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FOLLOW THE THINKING

The next chapter is a conversation.

New analysis on enterprise AI, architecture and leadership, every week — on the blog, on LinkedIn and in the newsletter.

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