aibuttons.io

AiButtons · AI that does the work. Not the talking.

How I’ll grow your LinkedIn practice.

Paritosh Chauhan × AiButtons — a proposal for the LinkedIn practice.

From
AiButtons
Sandeep Patra, founder
To
Paritosh Chauhan
Partner, LKS
§ 02 · Context
Signal_01 · What I see

A strong distribution surface with the volume knob at twenty percent.

3,718
Followers
Warm graph. Real reach already earned.
500+
First-degree connections
Display capped — the actual network is materially larger.
~46
Avg reactions per post
Peak 111, median 38. Engagement isn't the problem.

Every post on your surface right now is a repost of firm content. Zero original first-person voice. Every LKS webinar is a warm-lead moment that ends the day the webinar ends.

The audience is already there. The distribution is real. What's missing is the layer that turns it into practice-level pipeline.

§ 03 · Audience
Signal_02 · Who's actually watching

The people already following you. None are getting an ask.

Five buyer profiles sit inside your audience today — the same profiles who commission the work your practice is built for.

Persona_01

CHROs & Heads of HR

Indian large-caps and Indian arms of MNCs

  • TriggerNew Labour Codes rollout, EPF milestones
  • BuysCompliance rewrites, workforce restructuring
Persona_02

General Counsel

India-inbound corporates & foreign-MNC Indian entities

  • TriggerDPDP Rules notified, M&A signing
  • BuysDPDP advisory, employment carve-outs, dark-patterns
Persona_03

Country Managers

Foreign MNCs entering India

  • TriggerGreenfield entry, GCC launch, new appointment
  • BuysEntity setup, hiring compliance, regulatory approvals
Persona_04

PE / VC deal teams

India transactions and portfolio work

  • TriggerSigning / closing phase
  • BuysEmployment DD, HR reps & warranties, ESOP treatment
Persona_05

Compliance heads at GCCs

Bangalore, Hyderabad, Gurgaon, Pune

  • TriggerIR Code notification, DPDP enforcement
  • BuysDPDP compliance, HR-policy rewrites
Signal · read of the room

The one-line takeaway

Where they sit today — and after

  • TodayWarm, watching, uninvited into a conversation
  • AfterWatching, prompted, and moving toward warm inbound
§ 04 · The gap
Signal_03 · The gap I'll close

Turn the surface you already own into a warm-inbound engine.

Fix the revenue leak — the practice-level pipeline that leaves the room the day each webinar ends.

Today
  • Firm reposts only — no first-person voice on top
  • Every webinar is a one-day event, not a thirty-day flow
  • Long-form work sits on the firm site, not on LinkedIn
  • No structured way to know when an ICP contact is in-market
  • Engagement earned by firm brand, not compounding to your name
With AiButtons
  • Original voice on top of firm distribution — your register
  • Every webinar becomes a thirty-day warm-lead flow
  • Every GLI chapter, ripple-effect piece, Labour Codes note becomes multi-format LinkedIn
  • Signal-based outreach when the right buyers move, get promoted, or take a new mandate
  • Warm inbound from your ICP within sixty to ninety days
Engagement lift in ninety days
Day 45
First measurable warm inbound
30 min
Of your time, per week
§ 05 · The build
Signal_04 · What I build for you

Here’s what I provide.

Three capability pillars. Weeks to deployment, not quarters. Your business, running while you sleep. Code and models and infrastructure belong to you.

01
Pillar · Content engine

A content engine

  • Two original posts each week, drafted in your voice
  • A bi-weekly newsletter under your byline
  • Every LKS webinar repurposed into a week of assets
  • Every long-form piece — GLI chapter, ripple-effect note, dark-patterns article — turned into LinkedIn-native carousels and threads
02
Pillar · Warm-network system

A warm-network system

  • A five-hundred-person ICP list, built and enriched for your practice
  • Signal-triggered nudges when the right buyers change roles, get promoted, or take new mandates
  • Post-webinar re-engagement on the audiences LKS is already opting-in
  • A colleague amplification pod inside LKS for the first-thirty-minute lift
03
Pillar · AI layer

An AI layer

  • Voice-matched drafting learned from your prior writing
  • Auto-repurposing of long-form work into LinkedIn-native formats
  • Signal detection on ICP moves, flagged for a human decision
  • Response drafts prepared first, then approved by you

You approve. I execute. You own every line of code, every model, every workflow. Nothing lives on someone else's rented shelf.

§ 06 · The pipeline
Signal_05 · The pipeline

How leads actually reach you.

Five stages. Left to right. Warm inbound is the output — not a cold DM to send.

Stage_01 · Input

Your source material

  • LKS webinars
  • GLI chapter
  • Labour Codes articles
Stage_02 · Signal

AI-watched triggers

  • Sales Nav feeds
  • Job changes, promotions
  • New mandates flagged
Stage_03 · Warm asset

Content in your voice

  • 2× original posts / wk
  • Bi-weekly newsletter
  • Repurposed firm content
Stage_04 · Attention

ICP eyes on you

  • Profile views tracked
  • Replies + comments
  • Newsletter opens
Stage_05 · Output

Warm inbound

  • DMs to your inbox
  • Referrals via replies
  • Attributed conversations

You never send a cold DM. They arrive at your door because your work is where they are looking.

~5–12
Warm inbound DMs / mo Target Day 90
~3× lift
ICP profile views / wk Target Day 60
1st
Attributed conversation Target Day 45
§ 07 · Machine layer
Signal_06 · How AI does the heavy lifting

You spend thirty minutes a week. I make it look like thirty hours.

Plain-English version of what the machine layer is doing behind the scenes. Everything routes through you before it ships — or you set defaults and let it run. Your call.

Learns your voice

Trained on your GLI chapter, your ripple-effect piece, your dark-patterns article. Every post drafted in your register — not a copywriter's.

voice_model.fit(your_past_writing)

Watches your ICP

Detects when the right buyers change roles, get promoted, or take new mandates. Surfaces the moment. Never fires on its own.

icp.watch("job_change","promotion")

Repurposes long-form

Firm webinars and long-form articles turn into LinkedIn-native posts, carousels and threads without a human copywriter in the loop.

longform.reshape(target="linkedin")

Prioritises where to show up

Points you at the five posts a week worth commenting on. Ten minutes of your time. Presence everywhere it matters.

engage.rank(top_k=5, effort="10min")
§ 08 · Compliance
Signal_07 · Compliance

Compliance is engineered in.
Not bolted on.

You know Rule 36 better than I do. This slide is the short list of guardrails already wired into the system — not a lecture.

Bar Council of India Rule 36 is the ceiling. Every piece of content shipped through this program is educational, never solicitation. Scholarship on statutes and judgments, event-anchored notes, opt-in follow-ups, colleague amplification.

No cold DMs. No fee mentions. No sponsored posts. Nothing that reads like an ad. Nothing that looks like a testimonial. Firm attribution stays on firm content.

You review before anything ships, if you want to. Or set the defaults and let it run. Your firm's compliance lead can review the workflow before we go live.

Guardrails · wired in
  • 01Human review before every outbound message
  • 02Zero automated DMs — every note is authored, not templated
  • 03Educational framing throughout; no fee quotes, no outcome claims
  • 04No sponsored posts, no LinkedIn Ads — individual or firm
  • 05Documented pause switch if BCI issues a social-media circular
§ 09 · Timeline
Signal_08 · 30 / 60 / 90

A ninety-day path to first measurable inbound.

Weeks to deployment. Not quarters.

T+30d · Days 01–30

Foundation

  • Voice mapped from your prior writing
  • ICP list built to five hundred named contacts
  • First original posts live under your byline
  • Post-webinar re-engagement flow running on live audiences
  • LKS amplification pod set up
T+60d · Days 31–60

Amplification

  • Newsletter launched under your byline
  • First co-authored posts with LKS colleagues going live
  • First warm outbound wave — human-authored, opt-in-friendly
  • Engagement rate lifting off baseline
  • Long-form work repurposing itself into weekly content
T+90d · Days 61–90

Compound

  • Signal-based nudges live on ICP moves and promotions
  • First measurable warm-inbound conversations attributable
  • Content library repurposing itself across formats
  • Cross-border corridor active on ASEAN and GCC audiences
  • Bi-weekly report on what's compounding and what isn't
§ 10 · Metrics
Signal_09 · What we measure

Four numbers, tracked weekly.

Original posts per week
Today
0
Day 90
2+
Avg engagement per post
Today
~46
Day 90
Weekly profile views by ICP
Today
n/t
Day 90
tracked
Qualified conversations / mo
Today
0
D 45–60
first

Reviewed with you on a bi-weekly cadence. What's compounding stays. What isn't gets cut.

§ 11 · The Numbers
Signal_11 · The Numbers

What you should expect.

Three read-outs. All estimates, not commitments. Baseline is your today. Live numbers post to your dashboard weekly.

Avg reactions / post
90-day projection · illustrative
Engagement per post over 90 days Baseline holds at 46 reactions per post. Projected line rises from 46 to roughly 160 by day 90 — a 3.5x lift. 160 120 80 40 BASELINE 46 D0 D15 D30 D45 D60 D75 D90
3.5× lift over 90 days · from ~46 to ~160 reactions
Warm inbound DMs / month
Month 1 → Month 3 · illustrative
Warm inbound DMs per month Month 1 estimate is 2 DMs. Month 2 rises to 6. Month 3 reaches 11. 12 9 6 3 2 6 11 M1 M2 M3
Compounding from Day 45 first-attributed onward
Monthly funnel
Impressions → Qualified · illustrative
Five-stage lead funnel Impressions around 50000 narrow to 1200 profile views, 120 connections, 18 conversations, and 5 qualified per month. ~50k ~1,200 ~120 ~18 ~5 IMPRESSIONS PROFILE VIEWS CONNECTIONS CONVERSATIONS QUALIFIED
Indicative · measured weekly · tuned per your ICP

These are estimates. First thirty days set the baseline. Real numbers post to your dashboard weekly.

§ 12 · What you get
Signal_10 · What you get

Your LinkedIn, running like a channel.

Four modules, delivered. Not four workshops. Not four decks. Four live systems, running while you sleep.

Module_01 · Channel

Auto-posting engine

2 original posts a week, drafted in your voice, scheduled and shipped without you touching a keyboard. Every LKS webinar becomes a week of assets. Every Labour Codes update, a same-day post.

Module_02 · Outbound

Automated, warm outbound

ICP list built and enriched — CHROs, GCs, Country Managers, PE deal teams. AI watches for trigger events (job changes, promotions, new mandates). Personalised nudges drafted; you approve one tap, they ship.

Module_03 · Leads

Inbound qualification

Every profile visit and DM tagged, ranked, and routed. Warm inbound gets triaged; noise gets muted. Target: first attributed conversation by day 45, 5–12 warm DMs a month by day 90.

Module_04 · Conversations

Automated-first conversations

AI drafts the first reply in your voice on every warm DM. You edit one line, hit send. Newsletter, Labour Codes brief, GLI chapter — all repurposed into conversation openers.

I build the system. You spend thirty minutes a week reviewing. LinkedIn runs itself.

§ 13 · Next step
Signal_11 · Next step

Thirty minutes.
No pitch.
Engineer-led.

Response · under 24h

I walk you through the system. You decide if it fits your Q3.

Book the call Full research Message on LinkedIn
aibuttons.io · Sandeep Patra · v.2026-07-10