The future of AI in manufacturing isn’t simply robots replacing people.
It’s AI becoming part of the operational process:
Observe → Predict → Recommend → Act
But AI needs a foundation:
Better data. Connected systems. Clear processes.
#Manufacturing#IndustrialAI
Before:
Download → Copy/Paste → Classify → Calculate → Recheck
After:
Import → Validate → Apply Rules → Calculate → Review
Good automation isn’t just about saving clicks.
It makes the process consistent, visible and traceable.
#ProcessAutomation
As companies grow, these processes often need more structure:
→ Leads
→ Orders
→ Purchases
→ Employee lifecycle
→ Approvals
→ Customer requests
→ Reporting
Don’t digitize everything.
Digitize where visibility, coordination and control matter.
#BusinessModernization
A team can be extremely busy without creating much value.
Emails. Meetings. Reports. Follow-ups. Copy-paste.
The better question isn’t:
“How can we work faster?”
It’s:
“Why does this work need to exist in the first place?”
#Productivity
SMEs don’t need an AI department to start.
Find one process that is:
→ Repetitive
→ Time-consuming
→ Measurable
→ Low enough risk to test
Run a small pilot. Measure it. Improve it.
Start with the problem, not the AI.
#AI#SMEs
A manual approval may take 5 minutes.
The process around it can take days:
Request → Wait → Follow-up → Approval → Action
The hidden costs are waiting, coordination, low visibility and rework.
Automate the workflow.
Keep the judgment.
#Automation
I tried building an ERP-like product for local schools.
The biggest lesson wasn’t technical.
We focused too much on software. Conversations showed that student acquisition could be a bigger problem than school management.
Validate the problem before building.
#EdTech
One of my biggest product lessons:
Building is not the same as learning.
You can spend weeks on architecture, UI and features.
A few customer conversations can tell you whether you’re solving the right problem.
Talk first. Validate earlier.
#ProductDevelopment
Not every process needs an AI Agent.
Predictable process → Automation.
Context and adaptation → AI.
Important judgment → Human.
The goal isn’t maximum AI.
It’s choosing the right level of intelligence for the work.
#AIAgents#Automation
Manufacturing companies don’t just have a technology problem.
They often have a process visibility and coordination problem.
The data exists.
The systems exist.
But the connective tissue between people, processes, data and systems is often missing.
#Manufacturing
5 signs your business may have outgrown Excel:
→ Multiple versions
→ Manual copy-paste
→ One “Excel expert”
→ Approvals outside the file
→ Excel as the system of record
The answer isn’t always replacing Excel.
It’s knowing when a process needs a real system.
#Excel
I didn’t start AVASARANT to build another software company.
I started it around a simpler idea:
Businesses don’t always need more technology.
They need better ways of working.
Understand the process first. Then use technology where it creates value.
#BusinessModernization
WhatsApp is becoming more than a messaging app.
WhatsApp = customer interaction.
Automation = what happens behind it.
Request → Workflow → Action → Update
The question isn’t whether customers are there.
Can your business processes meet them there?
#WhatsAppBusiness
Spreadsheets aren’t the problem.
The problem starts when they become critical business systems.
Look at:
→ Approvals
→ Compliance calculations
→ Operational reporting
Don’t eliminate spreadsheets.
Eliminate repetitive spreadsheet-dependent work.
#Automation
Why Digital Transformation Projects Fail
Digital transformation doesn't usually fail because of technology.
It fails when companies digitize unclear processes, undefined ownership and broken workflows.
Process first. Technology second.
#DigitalTransformation
WhatsApp = front door.
Automation = what happens behind it.
Customer request → Workflow → Action → Update.
Can your business processes meet customers where they already are?
#WhatsAppBusiness#Automation
India mein koi 5 minutes number Google kar le to doodh ka doodh paani ka paani ho jaye.
RBI surplus to Govt : ₹2.87 Lakh Crores (US$30 Bn)
Total listed bank profits : ₹4.11 Lakh Crores (US$42 Bn)
NPCI - which runs UPI pre tax ‘surplus’ : ₹ 1,888 crores (US$200 Mn)
To nuksaan kis ka ho raha hai UPI se aur kaunsi subsidy de rahi hai Govt UPI pe jo chubh rahi hai?
Cost of running ATMs and cash logistics in India is ₹30,500 crores (US$ 3.0 Bn). If you want to optimise shut ATMs and promote UPI instead.
Any levy on UPI is just tax collection. UPI is the one scientific achievement of India everyone acknowledges par ab tax ki bali chadhegi.