Building AI-Native Company That Turn Technology Into Business Outcomes

However, what is ahead of enterprises is not only implementing AI technologies but scaling these experiments to create value for businesses.

McKinsey's survey of 2025 revealed that 88% of participants claimed that AI was being used by their organizations in one of the business functions, which was up from 78% the previous year. However, only 7% of organizations have managed to scale AI.

These numbers indicate the next phase in enterprise AI – going beyond AI implementation and transitioning to AI-native transformation.

For Riseup Labs, an AI-native global technology company providing software, BPO, and customer experience solutions, the question of implementing AI is already settled.

The question remains:

How can enterprises transform their technology, operations, data, and customer experiences to become AI-native?

Enterprise AI Adoption: What's Making Companies Suffer from Pilot to Profit

Many companies have already conducted their experiments with AI.

They have introduced:

• AI assistants
• Automation solutions
• Generative AI software
• AI analytics
• Customer service platforms

However, experiments are not transformation on its own.

Enterprises should be able to combine AI with:

• Business goals
• Current processes
• Relevant data
• Infrastructure
• Expertise
• Real outcomes

As a result, Deloitte's research on State of Generative AI in the Enterprise 2025 revealed that more than two-thirds of those who responded to the survey expected no more than 30% of their generative AI pilots to scale up in the next three to six months.

The difficulty is not in understanding how AI can be applied.

The difficulty is in creating necessary systems for the functioning of AI.

AI Tools Are Everywhere. AI-Native Systems Are Not.

The future competitive advantage will not belong to companies that leverage AI tools to a greater extent.

It belongs to companies that reinvent technology and operations architecture.

An AI-native enterprise treats artificial intelligence as an integrated capability through:

• Software engineering
• Process design
• Data systems
• Automation
• Customer engagement
• Decision making

Whereas companies using traditional technology approach treat AI as yet another overlay, AI-native enterprises incorporate intelligence into their operational design.

It calls for a holistic technology approach involving:

• Software engineering
• Cloud technology
• Data architecture
• Automation
• Security
• Analytics
• Customer experience

Therefore, AI transformation is not just about a technology change project.

It is about changing the entire enterprise operating model.

Future of Operations: Human + AI Partnership

There is enormous potential for AI in improving ordinary business processes.

In BPO and customer experience environments, AI can help with:

• Repetitive processes
• Information access
• Customer engagement
• Quality control
• Analytics
• Automation

However, AI transformation is not just about eliminating human capabilities.

Its greatest power lies in making humans available for activities that require:

• Judgement
• Creativity
• Empathy
• Problem solving
• Relationship building

According to Salesforce's State of Service survey, 86% of service agents indicated that customer expectations were increasing. The same survey found out that service agents spent only 39% of their time serving customers and the remaining 61% was consumed by other tasks.

AI presents an opportunity to streamline processes and improve customer experience at the same time.

The future of smart operations is not about humans vs. AI.

It is about human knowledge powered by AI.

The Need for Solid Data and Technology Foundations in AI Transformation

AI applications rely on how solid their technology environment is.

In the case of organizations that seek to transform to enterprise AI, they have to overcome:

• Poor data quality
• Unavailability of data
• Security issues
• Governance concerns
• Infrastructural problems
• Integrations difficulties

According to IBM’s Global AI Adoption Index, in cases where companies have not yet transformed to enterprise AI, the most important obstacles include low AI skills, complex data, and ethical considerations.

The above illustrates the following reality clearly:

There can be no transformation to AI without digital foundations.

This means that software systems, data platforms, cloud infrastructures, and procedures must go hand in hand.

From AI Adoption to Business Transformation

Businesses tend to measure their progress in AI terms of tools developed, number of employees using AI, and number of AI projects undertaken. However, these measurements only account for activity and not for business results.

Much more meaningful measurements for enterprise use of AI would include results such as increase in productivity, reduction in cycle times, improvements in customer satisfaction, in quality, in efficiency, and in time-to-market.

According to the recent survey conducted by McKinsey across the globe, over 80% of respondents have not yet experienced any EBIT effects of generative AI at the enterprise level.

This is an important lesson to learn from.

Riseup Labs' Journey of Becoming an AI-native Company

The example of Riseup Labs illustrates how technological changes influence the IT sector.

Founded in 2009, today Riseup Labs is known to be a technology partner in over 30 countries around the world. Riseup Labs has implemented more than 700 projects for over 100 clients and has experience in AI technologies, software development, intelligent automation, cloud and data, BPO, and customer experience.

However, the evolution is not just about the scale.

It is about the way how various technological competencies develop.

Combining such technologies as:

• AI solutions;
• Software engineering;
• Intelligent automation;
• Cloud and data technologies;
• BPO transformation;
• Customer experience solutions

Riseup Labs helps companies to transition from isolated tech usage to building interconnected digital platforms.

Building the AI-Native Enterprise: A New Source of Competitive Advantage

The future of enterprise AI is not about one more tool.

The future is about transformation through which companies transform themselves.

An AI-native enterprise starts with the adoption of AI in designing technology and processes.

It focuses on areas in which intelligence, automation, predictive analysis, and decision-making support can be used:

• Software innovation
• Operations
• Customer experience
• Service delivery
• Decision-making based on data

Successful organizations would integrate:

Technology + Data + People + Processes

to deliver enduring business value.

As Ershadul Hoque, Founder & CEO at Riseup Labs puts it:

"Transformation in AI is not just about yet another tool. It's about redesigning how technology, people, data and process combine to create value."

For organizations striving for innovation, accelerated growth and sustainability, AI opens up an opportunity to rethink technology and business processes.

At Riseup Labs we provide our partners with a hand in transformation by offering AI-native software and operations and customer experience solutions for the next level of growth.

Connect with Riseup Labs through its Official Website to explore how a proven global technology partner can support your next phase of AI digital transformation.