Sohil M 🇮🇳

ICP Payroll Specialist @ Deel | Global Payroll Expert | Simplifying complex payroll workflows

[Sohil M 🇮🇳 @MrSohil_M]

SERIES POST #130

🚨 STOP SCROLLING: Your next growth idea may be hiding in a customer complaint.

Talk to customers before another strategy meeting.

What customer conversation changed your business?

#CEO #Customers #BusinessGrowth

[Sohil M 🇮🇳 @MrSohil_M]

@Y4shik4 True

[Sohil M 🇮🇳 @MrSohil_M]

SERIES POST #129

🚨 STOP SCROLLING: A full pipeline can hide a weak strategy.

Chasing every opportunity destroys focus.

CEOs create leverage by choosing which markets, customers and partnerships deserve attention.

What would you say NO to today?

#BusinessDevelopment #CEO

[Sohil M 🇮🇳 @MrSohil_M]

SERIES POST #128

🚨 STOP SCROLLING: Bigger revenue can still mean worse growth.

A CEO should ask:
Is this the customer we want more of?

Fit. Margin. Retention. Strategic value.

Which one matters most?

#CEO #BusinessDevelopment #Growth

[Sohil M 🇮🇳 @MrSohil_M]

SERIES POST #127

The AI mistake leaders notice too late:

They automate before defining “good.” 👀

AI can make a weak process faster—and a bad decision scale.

Define the outcome.
Set the guardrails.
Then automate.

What process would you fix before automating?

#AI #Leadership

[Sohil M 🇮🇳 @MrSohil_M]

SERIES POST #126

Growth creates a hidden tax: more portals, handoffs and exceptions. 👀

Akai runs recurring workflows across systems that weren't built to work together.

What process gets harder every time your company grows?

https://t.co/AvnUllfPru

#Akai

[Sohil M 🇮🇳 @MrSohil_M]

SERIES POST #125

If one employee is the only person who knows a workflow, that's tribal knowledge. 👀

Akai can turn that workflow into an executable system—with review and approval built in.

What process depends too much on one person?

https://t.co/AvnUllfPru

#Akai

[Sohil M 🇮🇳 @MrSohil_M]

SERIES POST #124

Good automation doesn't eliminate humans. It gives them better moments to matter. 👀

Akai keeps people in control where judgment and approvals matter.

Where should humans stay in the loop?

https://t.co/AvnUllfPru

#Akai #Leadership

[Sohil M 🇮🇳 @MrSohil_M]

SERIES POST #123

We measure automation by clicks removed.

Maybe the better metric is attention returned. ⚡️

Akai runs recurring operational work while people focus on exceptions and judgment.

What would your team do with 10 extra hours a week?

https://t.co/AvnUllfPru

#Akai

[Sohil M 🇮🇳 @MrSohil_M]

SERIES POST #122

The bottleneck isn't always people.

Sometimes it's the number of systems they have to touch. 👀

Akai connects the workflow end to end, with humans in control where judgment matters.

Where does your team lose time?

https://t.co/AvnUllfPru

#Akai #Operations

[Sohil M 🇮🇳 @MrSohil_M]

SERIES POST #121

The next productivity shift: deleting work, not doing it faster. 👀

Akai lets teams show a workflow once, then run it end to end with human control when judgment matters.

What work would you remove first?

https://t.co/AvnUllfPru

#Akai #Operations

[Sohil M 🇮🇳 @MrSohil_M]

SERIES POST #120

The best automation may be the work nobody notices. 👀

Akai runs repetitive operational workflows while people focus on exceptions, judgment and customers.

What work would you never want to do manually again?

https://t.co/AvnUllfPru

#Akai

[Sohil M 🇮🇳 @MrSohil_M]

SERIES POST #119

#118 tied governance to consequence.

Failure mode: “human in the loop” becomes a checkbox.

Real oversight needs context, authority, and time.

8 PM: #120 — the leadership metric that matters.

#AI #Leadership

[Sohil M 🇮🇳 @MrSohil_M]

SERIES POST #118

#117 asked where AI governance should sit.

Answer: around the consequence, not the technology.

Governance should rise with the cost of being wrong.

2 PM: #119 — when “human in the loop” becomes a checkbox.

#AI #Governance

[Sohil M 🇮🇳 @MrSohil_M]

SERIES POST #117

#116 showed KPIs are choices about trade-offs.

More AI rules ≠ more control.

Define a few non-negotiables. Let teams experiment inside the boundary. ⚡️

Tomorrow 8 AM: #118 — where should the boundary sit?

#AI #Governance

[Sohil M 🇮🇳 @MrSohil_M]

SERIES POST #116

#115 exposed the metric trap.

When metric and customer disagree, the metric represents a chosen trade-off.

AI can execute the priority faster. It can’t choose it.

8 PM: #117 — why good AI governance may need fewer rules.

#AI #Leadership

[Sohil M 🇮🇳 @MrSohil_M]

SERIES POST #115

#114 gave us a test: define what would change your mind.

Teams often optimize the metric, not the outcome.

AI makes that trap faster.

Pair key metrics with a reality check.

2 PM: #116 — when metric and customer disagree.

#AI #Leadership

[Sohil M 🇮🇳 @MrSohil_M]

SERIES POST #114

#113 showed why more data can still hurt.

Before automating, write down what would change your mind.

That gives AI a real feedback loop. ⚡️

Tomorrow 8 AM: #115 — when the metric becomes the problem.

#AI #Leadership

[Sohil M 🇮🇳 @MrSohil_M]

SERIES POST #113

#112 said the bottleneck can be the decision.

Twist: more data ≠ better decisions.

Data can increase confidence in the wrong signal.

Ask: “Which signal should change the decision?”

8 PM: #114 — judgment between data and action.

#AI #Leadership

[Sohil M 🇮🇳 @MrSohil_M]

SERIES POST #112

#111 exposed the next AI bottleneck: the decision.

AI can make a weak decision look efficient.

Ask: “What decision are we improving?”

Best AI work may improve the question first. 👀

2 PM: #113 — why more data can still hurt.

#AI #Leadership