Artificial intelligence has become one of the biggest priorities for businesses around the world, but implementing the technology and generating meaningful results are two very different challenges. Companies are investing in AI tools, launching pilot projects, and experimenting with automation, yet many still struggle to connect those investments to measurable improvements in revenue, efficiency, or customer experience.

For Akshit Kandi, that gap between technological potential and business results presented an opportunity. After spending eight years at Salesforce, where he worked across engineering, sales, and product management, Kandi founded SkySync, a New York-based AI company focused on helping businesses translate artificial intelligence into practical financial outcomes. As Founder and CEO, he is building an organization that designs, implements, and manages autonomous AI agents while remaining accountable for the value those systems deliver.

Rather than treating AI adoption as a one-time software implementation, SkySync focuses on integrating intelligent systems into everyday business operations. Its approach reflects Kandi’s belief that the success of artificial intelligence should ultimately be measured by what changes for the business, not simply by the sophistication of the technology being deployed.

From Hyderabad to Enterprise Technology

Kandi’s professional journey began in Hyderabad, India, before he moved to the United States to pursue his education and career. His path eventually led him into enterprise technology, where he developed experience across engineering, product development, sales, and emerging artificial intelligence applications.

A significant part of that journey unfolded at Salesforce, one of the world’s leading customer relationship management and enterprise software companies. During his eight years there, Kandi worked on products and initiatives connected to Salesforce Data Cloud, now known as Data 360, and Agentforce, the company’s platform for building and deploying AI-powered agents.

His responsibilities included serving as a Senior Product Manager for Agentforce and working on Data Cloud go-to-market initiatives. These roles gave him exposure to both the technical challenges of building enterprise AI systems and the commercial challenges of convincing organizations to adopt them.

Working with companies across different industries helped him recognize an increasingly common problem. Business leaders were interested in artificial intelligence, but many could not clearly explain which operational challenges it would solve or how they would measure the financial return.

That realization would eventually influence his decision to become an entrepreneur.

Building on His Experience at Salesforce

Salesforce played an important role in shaping Kandi’s understanding of how large organizations adopt technology. Enterprise AI requires more than an advanced language model or an impressive demonstration. Businesses must integrate different data sources, establish reliable workflows, maintain security, and ensure that new systems operate consistently within existing infrastructure.

Through his work with Agentforce and Data Cloud, Kandi gained experience at the intersection of data management, artificial intelligence, enterprise software, and product strategy. He also participated in Salesforce events and presentations, sharing practical guidance with organizations exploring AI and data technologies.

These experiences exposed him to a recurring pattern: companies often had access to powerful technology but lacked a clear strategy for using it effectively. Customer information might be scattered across multiple systems, employees might continue performing repetitive tasks manually, and AI pilot programs could remain disconnected from everyday operations.

Kandi began to see that the next major opportunity in enterprise AI was not simply building more tools. It was helping organizations make better use of the technology they already had while introducing autonomous systems capable of producing measurable results.

Founding SkySync: An AI Company Focused on Return on Investment

Kandi founded SkySync around a straightforward business philosophy: artificial intelligence should create measurable value.

The company describes itself as an AI ROI firm, reflecting its focus on connecting automation with financial and operational outcomes. Instead of providing businesses with an AI strategy and leaving them to implement it independently, SkySync works with clients to identify opportunities, build intelligent systems, deploy them into production, and continue managing their performance.

Its operating model follows four stages: preparing business data for AI, launching an initial agent, expanding successful implementations, and continuously maintaining deployed systems. This approach is designed to reduce the gap between a successful demonstration and a reliable technology that can operate in real business environments.

For Kandi, ongoing responsibility is particularly important. An AI agent may perform well during a demonstration but encounter problems later when underlying data changes, business processes evolve, or technology providers update their models. Maintaining accuracy, reliability, and performance therefore becomes a continuous responsibility rather than a task completed at launch.

By combining technical implementation with operational management, SkySync aims to make AI a dependable part of an organization’s workforce.

Solving Different Problems for Enterprises and Small Businesses

One of the distinguishing features of SkySync’s approach is its recognition that businesses face very different challenges depending on their size and complexity.

Large enterprises often operate across numerous disconnected software platforms, databases, and departments. Customer information may exist in sales systems, financial platforms, support applications, and internal databases without a unified view of operations. Before AI agents can make reliable decisions, that information needs to be organized and connected.

SkySync works to address these challenges by improving data readiness and developing AI-powered workflows that operate across existing enterprise systems. Such applications can reduce manual processing, improve access to information, and help employees focus on decisions requiring human judgment.

Small and medium-sized businesses face another set of challenges. They may have strong products or services but limited resources for customer support, marketing, sales operations, and administrative work. Hiring additional employees for every operational requirement may not be financially practical.

For these companies, autonomous AI agents can help manage repetitive activities such as answering inquiries, qualifying potential customers, scheduling appointments, preparing information, and updating business records. By automating selected tasks, smaller organizations can potentially expand their operations without increasing costs at the same rate.

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Demonstrating AI’s Value Through Real Business Applications

One example of SkySync’s approach is its work with Green Subsidy, an Australian solar energy company. Before adopting SkySync’s systems, the business relied heavily on personal referrals and faced challenges generating and responding to online customer inquiries.

SkySync developed an integrated system connecting advertising platforms, Salesforce, and AI-powered customer communication channels. The technology helped manage inquiries through WhatsApp and Messenger, answer questions about solar energy products and government incentives, qualify potential customers, and schedule assessments.

The system also reduced the need for manual data entry by connecting customer interactions directly to the company’s CRM. SkySync has reported substantial improvements in lead generation and response times through the engagement, presenting it as an example of how coordinated AI agents can support business growth.

The project illustrates a central principle behind Kandi’s company. Rather than implementing AI simply because the technology is available, SkySync begins with an identifiable business problem and builds automation around improving the outcome.

SkySync has also applied this approach to its own operations. In a Salesforce customer success story, the company reported reducing lead-processing time from several days to less than five minutes, increasing weekly lead volume, and saving more than 20 hours of executive reporting time each month.

These examples demonstrate why Kandi believes that practical implementation and measurable performance are more meaningful indicators of AI success than the number of automated tools a company deploys.

Why Business Mindset Matters in AI Adoption

Despite rapid technological progress, Kandi believes that one of the most significant barriers to AI adoption is organizational mindset.

Many business leaders recognize that artificial intelligence could transform their industries but remain uncertain about where to begin. Others approach the technology cautiously because of implementation costs, security concerns, or unsuccessful experiences with previous digital transformation projects.

Kandi argues that companies need to move beyond treating AI as an experimental initiative and begin identifying specific business processes where automation could create measurable improvements.

That transition requires more than purchasing software. Organizations must be willing to rethink existing workflows, prepare employees to work alongside intelligent systems, and accept that early implementations may require adjustment.

For executives, this means establishing clear expectations around the value of an AI project. Instead of measuring success through demonstrations or technical complexity, they should evaluate improvements in productivity, revenue generation, customer experience, and operational costs.

Kandi’s approach emphasizes starting with manageable problems, demonstrating value early, and expanding only after the initial system has shown that it can perform reliably.

Learning From Entrepreneurial Setbacks

SkySync was not Kandi’s first experience building a business. Before founding the company, he explored several entrepreneurial ventures that provided valuable lessons about product development, market readiness, and customer adoption.

One earlier initiative involved developing AI-powered customer support technology at a time when the infrastructure required for widespread adoption was still evolving. Although the underlying concept showed potential, implementation costs and market conditions made it difficult to scale.

Another venture focused on using artificial intelligence to streamline medical coding and billing for healthcare organizations. The experience introduced Kandi to the challenges of deploying new technology within traditional industries, where decision-making processes can be lengthy and organizations may require substantial evidence before changing established workflows.

These setbacks reinforced an important lesson: a promising technology does not automatically translate into a successful business. Even when a product addresses a real problem, the market must be ready to adopt it, customers must understand its value, and the implementation must be financially practical.

Kandi carried those experiences into SkySync. Rather than emphasizing distant technological possibilities, he increasingly focused on demonstrating what businesses could accomplish in the near term.

For him, entrepreneurship became a continuous process of testing assumptions, learning from unsuccessful approaches, and adjusting the business model around customer needs.

Building an International AI Company

Although SkySync is headquartered in New York, its operations extend beyond the United States. The company works with a distributed team across locations including Hyderabad, India, and Germany, bringing together expertise in AI engineering, product management, business development, and enterprise technology.

Kandi has described the company’s international structure as an intentional part of its operating model. New York provides proximity to customers, investors, and business leaders, while its engineering and operations capabilities in India support the continuous development and management of deployed AI systems.

This arrangement reflects the increasingly global nature of artificial intelligence development. Companies can combine knowledge of American enterprise markets with technical expertise and operational capabilities across international teams.

For Indian and South Asian technology professionals, this model also illustrates how entrepreneurship can connect talent and business opportunities across borders.

Rather than separating American business development from Indian technology expertise, SkySync brings those capabilities together within a shared operating structure.

Creating Business Value Beyond Automation

Kandi’s vision for artificial intelligence extends beyond simply eliminating repetitive work.

He believes that intelligent systems can fundamentally change how companies operate by giving business owners and employees easier access to information and greater control over their time.

For a small-business owner, this might mean understanding daily performance without manually reviewing several reports. For a sales team, it could mean receiving qualified customer inquiries automatically. For an enterprise executive, it might involve accessing information from multiple departments through a single intelligent interface.

These changes can create opportunities for employees to spend less time collecting information and more time building relationships, solving problems, and making strategic decisions.

SkySync’s focus on managed AI agents reflects that possibility. The company aims to build systems capable of carrying out useful operational responsibilities while allowing people to remain involved in oversight, judgment, and higher-value work.

For Kandi, the ultimate objective is not automation for its own sake. It is helping organizations become more productive, adaptable, and capable of growth.

A South Asian American Entrepreneur Connecting Technology and Business

Kandi’s career reflects the growing influence of South Asian professionals within the American technology ecosystem.

His journey from Hyderabad to Salesforce and eventually to founding a New York-based AI company demonstrates how technical expertise, business understanding, and entrepreneurial experience can combine to create new opportunities.

South Asian engineers, product managers, researchers, and entrepreneurs have played important roles in developing enterprise software and artificial intelligence technologies. Increasingly, many are also moving from established technology companies into entrepreneurship, building businesses that address operational challenges across multiple industries.

Kandi’s experience represents this transition. After working within a major technology company, he identified a market opportunity and began building an organization designed to address it.

His work also illustrates an important shift in the AI industry. As artificial intelligence becomes more widely available, the competitive advantage may increasingly come from understanding how to deploy it effectively rather than simply having access to advanced models.

By focusing on measurable business outcomes, Kandi is contributing to a new generation of AI companies seeking to make advanced technology accessible and commercially useful.

Building the Future One Step at a Time

Kandi’s entrepreneurial philosophy is grounded in simplicity and consistent execution.

Artificial intelligence can appear overwhelming because of its technical complexity and the speed at which new tools emerge. Businesses may feel pressure to transform entire operations immediately, while entrepreneurs may become distracted by ambitious ideas that are difficult to execute.

Kandi encourages a more practical approach: break large challenges into smaller problems, solve them systematically, and build on each successful result.

That philosophy also applies to his own career. Moving from enterprise software to entrepreneurship required adapting to new responsibilities, learning from unsuccessful ventures, and continuing to refine his understanding of what customers actually needed.

As SkySync expands its work across industries and international markets, Kandi remains focused on connecting technological innovation with measurable financial and operational outcomes.

His journey demonstrates that building a successful AI company requires more than technical expertise. It demands an understanding of customers, the patience to navigate setbacks, and the discipline to turn promising ideas into systems that deliver value.

For Akshit Kandi, the future of artificial intelligence is not simply about creating smarter machines. It is about helping businesses accomplish more with the technology available to them, one practical improvement at a time.

Key Takeaways About Akshit Kandi

• Akshit Kandi is the Founder and CEO of SkySync, a New York-based company focused on delivering measurable return on investment through artificial intelligence.
• He grew up in Hyderabad, India, before moving to the United States for his education and professional career.
• Before founding SkySync, he spent eight years at Salesforce, working across engineering, sales, and product management.
• His Salesforce experience included serving as a Senior Product Manager for Agentforce and working on Data Cloud go-to-market initiatives.
• SkySync designs, deploys, and manages autonomous AI agents that help businesses improve operational efficiency, automate workflows, and generate measurable results.
• The company’s approach emphasizes preparing business data, launching targeted AI applications, expanding successful deployments, and maintaining systems after implementation.
• SkySync works with both large enterprises and smaller businesses across industries including energy, manufacturing, healthcare, financial services, and professional services.
• Its work with Australian solar company Green Subsidy demonstrates how AI agents can support marketing, customer inquiries, lead qualification, and appointment scheduling.
• SkySync has also used AI automation internally to reduce lead-processing time and improve reporting efficiency, as documented in a Salesforce customer success story.
• Before SkySync, Kandi explored startups involving AI-powered customer support and healthcare billing automation, gaining experience in market readiness and enterprise adoption.
• His company operates internationally, combining business leadership in New York with technical and operational capabilities in India and other markets.
• His leadership philosophy emphasizes simplicity, continuous learning, practical implementation, and measurable business outcomes.
• Kandi’s journey reflects the growing contribution of South Asian entrepreneurs to enterprise AI innovation and the global technology economy.