Sohil M 🇮🇳

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

[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

[Sohil M 🇮🇳 @MrSohil_M]

SERIES POST #111

#110 revealed the hidden cost of AI: faster execution can preserve a bad decision.

AI moves judgment upstream.

Wrong decision + automation = wrong answer at scale.

Tomorrow 8 AM: #112 — when the decision becomes the bottleneck.

#AI #Leadership

[Sohil M 🇮🇳 @MrSohil_M]

SERIES POST #110

AI can speed up execution — and outdated assumptions. 👀

The real leadership edge is questioning the decision, not just automating the workflow. ⚡️

Which business assumption needs a fresh look?

@deel @SnoopDogg
#SnoopIsHiring #AI

[Sohil M 🇮🇳 @MrSohil_M]

Series Post #109

Your “best practice” could be the bottleneck. 👀

AI can make an old workflow faster. That doesn’t make the workflow right.

The real edge: knowing what to keep, kill, or rebuild. ⚡️

What would you redesign from zero?

#AI #Leadership

[Sohil M 🇮🇳 @MrSohil_M]

Series Post #108

#107 asked what leaders should protect as AI changes processes.

Reveal: protect the constraint, not the process.

A process is a solution. A constraint is the problem that matters.

Tomorrow 8 AM: #109 — when “best practice” becomes the bottleneck.

#AI

[Sohil M 🇮🇳 @MrSohil_M]

Series Post #107

The real AI edge? Knowing what NOT to change. 👀

AI can rewrite the process. Great leaders protect the principle behind it.

Protect the outcome. Challenge the method. ⚡️

What would you never automate away?

#AI #Leadership

[Sohil M 🇮🇳 @MrSohil_M]

Series Post #106

Your biggest strength can become your biggest constraint.

AI may make an old workflow faster when the real answer is to remove it.

Test the outcome without the process. If it survives, eliminate it. ⚡️

Tomorrow 8 AM: #107 — what should leaders protect?

#AI