AI and Digital Transformation: Arfat Sheikh on the Future of Business
Artificial intelligence is no longer something businesses can afford to watch from the sidelines. From automating repetitive tasks to connecting sales, finance, marketing, and operations, AI and digital transformation are changing how companies work, compete, and grow.
But adopting AI is not as simple as opening ChatGPT and asking it to write a social media caption.
In Boatroom Episode 26, Muhammad Kaleem sits down with Arfat Sheikh, founder of AFA Technologies, to discuss what businesses are getting wrong about AI, why digital transformation projects fail, how automation can change productivity, and what companies should do before investing heavily in technology.
Arfat's message is straightforward: businesses need to adapt, but they need to do it systematically.
Table of Contents
- Who Is Arfat Sheikh?
- Starting a Business at 19
- Why AI Is Becoming a Business Requirement
- From Using AI to Real Business Automation
- Why Digital Transformation Projects Fail
- Documentation Comes Before Automation
- Will AI Take Away Jobs?
- AI Can Multiply Productivity
- How Customer Behaviour Is Changing
- Why Businesses Should Stop Ignoring Data
- A Practical Approach to Digital Transformation
- Arfat Sheikh's Advice for CEOs and Founders
- Conclusion
- FAQs
Who Is Arfat Sheikh?
Arfat Sheikh is an entrepreneur and the founder of AFA Technologies, with operations in Dubai and India. His journey into technology started at a young age and developed from website development into systems, e-commerce, UI/UX, automation, and artificial intelligence.
His company has worked with recognised brands, including Skechers and Victoria's Secret, while continuing to evolve alongside changes in technology.
What makes Arfat's perspective particularly relevant is that he approaches AI from a business and implementation perspective. His focus is not simply on which AI tool is popular, but on how technology can actually change the way a company operates.
That distinction is at the heart of the conversation.
Starting a Business at 19
Arfat did not follow the traditional route into entrepreneurship. He started his company at 19 and did not complete college.
Starting young gave him something he believes many people lose as they get older: the freedom to experiment.
“That’s the best time to try it out.”
His advice is not that everyone should immediately leave education or their job and start a business. Instead, he believes your early 20s can be a valuable period to experiment, learn, fail, and build experience.
Even failure has value. If a business does not work, there is still an opportunity to take what was learned, get a job, and use that experience to try again later.
Why AI Is Becoming a Business Requirement
One of the strongest messages from Episode 26 is that businesses should stop thinking about AI as an optional extra.
Arfat puts it simply:
“AI is not a want. It’s a need in today’s time for companies.”
The reason is not that every company needs to use every new AI tool. The real opportunity lies in improving how work gets done.
Businesses already have processes for sales, finance, marketing, customer service, operations, and reporting. AI and digital transformation can help connect and automate those processes, reducing unnecessary manual work and allowing employees to focus on higher-value activities.
The competitive question is therefore changing from “Should we use AI?” to “Where can AI create measurable improvements in our business?”
From Using AI to Real Business Automation
Arfat makes an important distinction between using AI casually and implementing AI meaningfully.
Asking ChatGPT or Claude to create a product description is useful, but it is not the same as transforming a business process.
Consider an e-commerce business.
A customer places an order. In a poorly connected system, someone may need to manually process the order, prepare an invoice, and enter information into accounting software such as Zoho Books.
In a more automated environment, the systems can communicate with each other. The sale can trigger the next steps automatically, reducing manual data entry and the possibility of human error.
That is where business process automation becomes powerful.
The goal is not simply to introduce AI into a company. The goal is to create a system where technology helps the business move faster and more efficiently.
Why Digital Transformation Projects Fail
Technology alone does not solve business problems.
Arfat highlights a common reason digital transformation projects fail: businesses try to automate processes that were never properly defined in the first place.
“Technology is an enabler. It does not do everything.”
Imagine a company asking a technology provider to automate its sales and finance operations, while different departments have different understandings of how the process should work.
Automation cannot magically decide which version is correct.
The business first needs to establish what should happen, who is responsible, what information is required, and how one stage connects to the next.
Without that foundation, technology can make a confusing process faster without making it better.
Documentation Comes Before Automation
One of the most practical lessons from the episode is the importance of documentation.
Before implementing automation or AI, businesses need to understand their existing processes.
For example:
- How does a lead enter the business?
- Who qualifies it?
- How does sales communicate with finance?
- When is an invoice generated?
- Where is customer information stored?
- Which tasks are manual?
- Which systems need to communicate?
- Who is responsible when something goes wrong?
These questions may seem basic, but they become critical when technology is introduced.
Arfat explains that his company sometimes refuses projects when a client's processes are not defined or when the client is unwilling to implement the required changes.
That approach can prevent a project designed to take three months from becoming a nine-month struggle caused by unclear expectations.
Will AI Take Away Jobs?
The question of whether AI will replace jobs is one of the biggest concerns surrounding artificial intelligence.
Arfat's answer is realistic: yes, AI can affect jobs in the short term.
But he believes the bigger story is productivity.
A team of 20 people that previously handled 100 projects might potentially handle 300 projects with better AI-assisted processes. Tasks that once took several days could potentially be completed in a few hours.
That does not necessarily mean every employee disappears.
Instead, the nature of their work can change.
Employees may spend less time on repetitive execution and more time on strategy, quality control, decision-making, client relationships, and creative work.
The people most likely to benefit are those who learn how to work with technology rather than ignore it.
AI Can Multiply Productivity
AI does not eliminate the importance of human expertise.
Arfat gives the example of a graphic designer. AI may help a designer produce work faster, but the designer still needs to understand composition, branding, visual hierarchy, and what makes a design effective.
The technology increases the person's capabilities.
This is an important distinction for businesses considering AI productivity.
The most valuable employees may not necessarily be those who compete with AI. They may be those who combine professional expertise with AI tools to produce better results in less time.
For agencies and service businesses, this shift could be particularly significant. Companies that rely heavily on manual, repetitive work may need to rethink how they price, deliver, and scale their services.
How Customer Behaviour Is Changing
AI is only one part of a larger digital transformation.
Customer expectations are changing too.
Arfat points to the rise of quick commerce and digital ordering. Customers have become accustomed to convenience, fast delivery, live tracking, digital payments, and easy access to offers.
When someone orders something and can see that the delivery rider is only a few minutes away, that experience changes what customers expect from other businesses.
Physical stores are also evolving.
Rather than existing purely as places where customers complete purchases, some physical locations increasingly function as experience centres and brand-visibility platforms while transactions happen online.
For businesses, being present on digital marketplaces and aggregator platforms can therefore become part of the customer journey.
Why Businesses Should Stop Ignoring Data
Arfat identifies another area that many SMEs overlook: data.
Businesses often talk about AI before asking whether they are actually using the data they already have.
Data can tell a company where its customers are coming from, which marketing campaigns perform well, what products attract attention, and whether the business is targeting the right audience.
Consider a company selling a AED 5,000 watch while marketing heavily to people earning AED 1,000–2,000.
The problem may not be the product. It may be the audience.
Better data analysis can reveal that mismatch and help the business make more informed decisions.
In that sense, AI is only part of the transformation. Businesses first need reliable information and a willingness to act on it.
A Practical Approach to Digital Transformation
Businesses do not need to transform everything overnight.
Arfat recommends taking a phased approach.
Phase 1: Understand and Document
Map the current processes. Identify bottlenecks, repetitive tasks, ownership, and gaps between departments.
Phase 2: Automate Repetitive Work
Start with processes where automation can produce an obvious improvement, such as data entry, invoicing, reporting, or routine communication.
Phase 3: Connect Systems
Once individual processes work properly, connect the systems involved in sales, finance, operations, marketing, and customer management.
Phase 4: Introduce and Expand AI
After the foundation is working, AI can be introduced more deeply to improve analysis, decision-making, content, development, customer experiences, and other business functions.
The key is to make the first phase successful before moving to the next.
This reduces the burden on the business and makes it easier for decision-makers to see the value of further investment.
Arfat Sheikh's Advice for CEOs and Founders
For business leaders, Arfat's warning is direct:
“If your company is not dependent on technology to run and do the processes, your competitor is going to eat you left, right and center.”
The message is not that businesses need to spend huge amounts of money immediately.
It is that ignoring technological change is becoming increasingly difficult.
Arfat also believes entrepreneurs should think about what they are building. In his experience, services are becoming harder to differentiate while products can create greater scalability and business value.
His own journey took years to become systematic. It took around seven years to build the right operational structure and find the right people.
That is an important reminder that digital transformation and business growth are processes, not one-time projects.
Technology can accelerate a business, but the business still needs the right people, processes, documentation, leadership, and willingness to adapt.
Conclusion
The biggest lesson from Arfat Sheikh's Boatroom conversation is that AI is not simply about using the latest tool.
It is about rethinking how a business works.
Companies that continue relying entirely on disconnected systems and manual processes may find it increasingly difficult to compete with businesses that automate, analyse their data, and adapt quickly.
But transformation does not have to happen all at once.
Start with one process. Document it. Improve it. Automate it. Measure the result. Then move to the next stage.
For CEOs, founders, and decision-makers, the question is no longer whether technology will change business.
The question is whether your business will adapt quickly enough to benefit from it.
FAQs
1. What does AI and digital transformation mean for businesses?
AI and digital transformation involve using technology, automation, connected systems, and data to improve how a business operates. The goal is to reduce inefficient manual work, improve decision-making, enhance customer experiences, and increase productivity.
2. How can a business start implementing AI?
Businesses should start by identifying repetitive or inefficient processes. Before introducing AI, document how the process currently works, identify the biggest bottlenecks, and then introduce technology in phases rather than attempting to transform the entire company at once.
3. Will AI replace employees?
AI can affect certain jobs and tasks, particularly repetitive work. However, AI can also increase employee productivity. Workers who combine their existing expertise with AI tools may be able to complete more work, faster, while focusing on higher-value responsibilities.
4. Why is data important before implementing AI?
AI is more useful when a business has reliable data and clearly defined processes. Data can help companies understand customers, marketing performance, product demand, and operational performance. Without good data, businesses may struggle to make effective technology-driven decisions.
