Aditya Nagpal
Aditya Nagpal
Author

How lean teams scale, function by function.

Which business functions move to AI agents today, which stay human, and how fast-growing companies sequence it. Written from inside 300+ teams building and scaling in India.

You'll only hear from me when there's something worth your time.

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Every edition is backed by
300+ teams I watch build and scale up close: what they offshore first, what breaks, what compounds
Wisemonk Research primary studies plus function-level data on what agents actually do today
Who's writing this
Aditya Nagpal

Aditya Nagpal

Founder & CEO, Wisemonk · EOR for India

15 yrs building global teams
3 continents worked across
300+ global companies served
2,000+ employees on payroll

Writing from expertise built over a 15-year career in the industry + deep data-led research behind every word.

I have worked across three continents and sat in the boardrooms where billion-dollar decisions were made.

I started Wisemonk with one goal: to solve India hiring for global companies. Completely bootstrapped to a 40+ person team, it now runs employment for 300+ global companies and pays 2,000+ employees across India.

Running employment for hundreds of companies means I watch them build and scale up close: which functions they offshore first, where they hand work to AI agents, what compounds, and what quietly falls apart. I study that pattern across the whole portfolio.

So I decided to send what I'm seeing, function by function, straight to the founders and leaders scaling teams in India, at the right moment.

Published research

The research it's built on

Deep-dive reports from Wisemonk's own analyst work, free to read in full.

India Investment Intelligence 2026

Macro, capital flows, GCC ecosystem · 100+ institutional data points

India IT Services Analyst Report 2026

$297B → $315.4B trajectory · AI adoption · cost dynamics

India CX Market Statistics 2026

Four-layer CX stack · channel mix through 2030 · 20+ sources

Agentic offshoring, function by function

Blueprints for building agents for any function

1

The ten functions you can offshore to agents

The full map, ranked by what's real today. Autonomy is jagged: Tier 1 runs near-autonomous, judgment-heavy work stays human-led.

2

How is finance and accounting the most mature agentic frontier?

AP/AR and close agents removing 60 to 99% of manual work. High-volume, rule-bounded work is where agents already win, so start here and let it fund the rest.

3

How to sequence an agentic offshoring programme without lighting money on fire?

The stage-by-stage roadmap: quick wins fund the programme, then scale into the harder functions, then orchestrate multi-agent workflows for compounding ROI.

4

How Chime scaled support without scaling the team?

A single-case breakdown: what the agents took over, what stayed human, and how the team reshaped rather than shrank. The playbook you can copy.

5

How to build a marketing agent that doesn't burn out?

Where marketing agents actually hold up, where they degrade, and how to sequence the work so output stays high without constant human rescue.

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