ABOUT SUMIT DHANKHAR
Nearly 15 years in IT. Now building practical AI systems for businesses.
- BACKGROUND
- IT and digital delivery
- CURRENT FOCUS
- AI Business Systems
MY JOURNEY
From digital delivery to AI business systems.
I began with websites and digital projects, then moved into project management, client delivery and digital marketing. Working across these areas gave me a close view of how businesses operate, where work slows down and why adding more software does not always solve the problem.
Over time, I saw businesses using more tools while leads, customer requests, information and follow-up remained disconnected. That is what led me to focus on practical AI systems that connect the process, the people responsible and the information needed to move the work forward.
Today, I work on AI systems for lead management, customer service, private AI and call automation for Indian businesses.
EXPERIENCE
Experience across IT, project delivery and business operations.
15 YEARSACROSS IT
AND DIGITAL DELIVERY
AND DIGITAL DELIVERY
My experience covers more than technical delivery. I have built digital products, managed projects, worked directly with clients and helped solve day-to-day business problems.
This helps me look beyond the software and design systems that people can understand, use and manage.
- 01
IT and digital delivery
Building websites, integrations and digital systems that work reliably.
- 02
Project leadership
Managing scope, priorities, risks and handoffs from planning to delivery.
- 03
Business understanding
Understanding how leads, customers, teams and everyday operations connect.
- 04
AI business systems
Designing practical AI workflows with useful data, clear responsibilities and human review.
WHY THIS MATTERS
AI tools are easy to try. Making them useful inside a business is the hard part.
A demo can look impressive in a few minutes. Real implementation is different.
The AI system has to work with the business’s existing people, tools and responsibilities. It also needs clear handling for errors, exceptions and sensitive decisions.
That is why I start with practical questions:
- 01
Where are time, information or follow-up being lost?
- 02
Which decisions should stay with people?
- 03
What should happen when the system is unsure?
- 04
Who is responsible for the final outcome?
WORKING PRINCIPLES
How I work.
I keep the work practical and easy to understand. The starting point is the business problem, not the software.
- 01
Start with the process
Understand what happens today and where it breaks before choosing tools or building the system.
- 02
Keep ownership clear
Make it clear who approves, reviews and handles important exceptions.
- 03
Design for the real business
Work with the data, tools, budget and capacity the business already has.
- 04
Be honest about limitations
Explain what the system can do, what it cannot do and where people are still needed.
START WITH ONE BUSINESS PROBLEM
Have a business process that is taking too much time or losing follow-up?
Tell me what is happening today and where the work keeps getting stuck. I will review the problem and tell you whether an AI system is worth exploring.