170+

Software Engineers

50+

Successful Projects Delivery

15+

Years of Experience

10+

Industries Served

170+

Software Engineers

50+

Successful Projects Delivery

15+

Years of Experience

10+

Industries Served

170+

Software Engineers

50+

Successful Projects Delivery

15+

Years of Experience

10+

Industries Served

Achieve Better Automation by Integrating RPA with Agentic AI

The latest projection from IDC (International Data Corporation) indicates that by 2030, 45% of businesses and organizations will implement AI agents at scale across various business functions. The integration of AI agents with traditional automation tools, like robotic process automation bots, has become increasingly powerful.
As your reliable technology partner powered by AI, we will support you in preparing for this new era of intelligent automation, from auditing business processes to orchestrating a hybrid model. Our skilled AI engineers and RPA specialists will deliver optimized configurations of AI agents, RPA bots, predictive models, and automated workflows tailored to your business growth trajectory and technological readiness.

Design & Architect Cloud-Native Infrastructure

Nowadays businesses are significantly in need of unified data management and centralized governance across hybrid environments, while speed and flexibility are constantly expected throughout the software development life cycle. Staying at the forefront of AI-driven solutions, our experienced DevOps professionals fully embrace the movement toward cloud-native application development and containerization. In addition to merely connecting disparate cloud systems, we go one step further by designing cloud-native solutions that are both scalable and resilient.

Orchestrate an automated cloud with agentic AI

As we are collectively defining the third phase of infrastructure maturity, the operational software delivery system is far more capable of building, governing, healing, and optimizing itself. At the heart of this method are agentic AI systems that smartly use various technologies, like machine learning (ML) models, natural language processing (NLP), predictive analytics, and teamwork among different agents. Our committed AI architects are on top of this technology movement so we can assist you in orchestrating autonomous cloud systems at any stage of your software development project life cycle.

Design & Architect Cloud-Native Infrastructure

Nowadays businesses are significantly in need of unified data management and centralized governance across hybrid environments, while speed and flexibility are constantly expected throughout the software development life cycle. Staying at the forefront of AI-driven solutions, our experienced DevOps professionals fully embrace the movement toward cloud-native application development and containerization. In addition to merely connecting disparate cloud systems, we go one step further by designing cloud-native solutions that are both scalable and resilient.

Design & Architect Cloud-Native Infrastructure

Nowadays businesses are significantly in need of unified data management and centralized governance across hybrid environments, while speed and flexibility are constantly expected throughout the software development life cycle. Staying at the forefront of AI-driven solutions, our experienced DevOps professionals fully embrace the movement toward cloud-native application development and containerization. In addition to merely connecting disparate cloud systems, we go one step further by designing cloud-native solutions that are both scalable and resilient.

Orchestrate an automated cloud with agentic AI

As we are collectively defining the third phase of infrastructure maturity, the operational software delivery system is far more capable of building, governing, healing, and optimizing itself. At the heart of this method are agentic AI systems that smartly use various technologies, like machine learning (ML) models, natural language processing (NLP), predictive analytics, and teamwork among different agents. Our committed AI architects are on top of this technology movement so we can assist you in orchestrating autonomous cloud systems at any stage of your software development project life cycle.

Design & Architect Cloud-Native Infrastructure

Nowadays businesses are significantly in need of unified data management and centralized governance across hybrid environments, while speed and flexibility are constantly expected throughout the software development life cycle. Staying at the forefront of AI-driven solutions, our experienced DevOps professionals fully embrace the movement toward cloud-native application development and containerization. In addition to merely connecting disparate cloud systems, we go one step further by designing cloud-native solutions that are both scalable and resilient.

Design & Architect Cloud-Native Infrastructure

Nowadays businesses are significantly in need of unified data management and centralized governance across hybrid environments, while speed and flexibility are constantly expected throughout the software development life cycle. Staying at the forefront of AI-driven solutions, our experienced DevOps professionals fully embrace the movement toward cloud-native application development and containerization. In addition to merely connecting disparate cloud systems, we go one step further by designing cloud-native solutions that are both scalable and resilient.

Orchestrate an automated cloud with agentic AI

As we are collectively defining the third phase of infrastructure maturity, the operational software delivery system is far more capable of building, governing, healing, and optimizing itself. At the heart of this method are agentic AI systems that smartly use various technologies, like machine learning (ML) models, natural language processing (NLP), predictive analytics, and teamwork among different agents. Our committed AI architects are on top of this technology movement so we can assist you in orchestrating autonomous cloud systems at any stage of your software development project life cycle.

Design & Architect Cloud-Native Infrastructure

Nowadays businesses are significantly in need of unified data management and centralized governance across hybrid environments, while speed and flexibility are constantly expected throughout the software development life cycle. Staying at the forefront of AI-driven solutions, our experienced DevOps professionals fully embrace the movement toward cloud-native application development and containerization. In addition to merely connecting disparate cloud systems, we go one step further by designing cloud-native solutions that are both scalable and resilient.

Harness Intelligent Automation Combining AI Agents with RPA Bots

The report from Mordor Intelligence indicates that the Intelligent Process Automation (IPA) market is expected to grow significantly, rising from $15.42 billion in 2025 to an impressive $32.76 billion by 2030. The IPA market is significantly influenced by technological advancements, with agentic AI and RPA allowing businesses to transition from rule-based bots to cognitive platforms.
RPA is highly effective in execution, but it falls short in cognitive adaptability. At Trustify Technology, we empower businesses to implement hybrid intelligence automation architectures, enabling AI agents to manage intricate workflows instead of merely automating standalone tasks. Our approach guarantees that your digital workforce transcends mere compliance with strict protocols, actively driving towards your business objectives.

Custom RPA bot development to improve efficiency and productivity

Our foundational principles are rooted in the intricacies of proprietary business logic. Instead of just opting for generic automation solutions, our RPA developers meticulously analyze specific business processes. We develop tailored RPA bots designed to maximize the advantages of automation, ensuring smooth integration with your current systems while efficiently handling various data types.
Our Trustify Technology team is capable of customizing business operation bots for your unique ERP and CRM systems, effectively removing the inefficiencies that come with standard tools. Our team tailors bots to your specific processes, ensuring seamless integration and efficiency.

Upgrade and scale RPA systems without disrupting existing processes

As your business grows, overseeing a multitude of RPA bots can turn into a significant governance challenge. In this scenario, the primary concern is the development of disjointed workflows that lack auditability.
To tackle this issue, our skilled RPA developers create a cohesive strategy as our foundational architecture approach, guaranteeing that each new bot is compliant, monitored, and seamlessly integrated into your overall IT ecosystem. Therefore, we help organizations move from messy automated processes to a well-organized, large-scale intelligent automation system that is secure and dependable.

Embed predictive modeling powered by agentic AI in RPA bots

RPA continues to play a crucial role in core business operations, particularly when dealing with legacy systems, thanks to its reliable outcomes and cost-effectiveness. In the near future, AI agents could take over certain RPA implementations, yet RPA remains a more cost-effective and quicker solution, often exhibiting fewer errors compared to many AI tools.
To stay ahead of the competition, businesses can improve RPA bots by adding cognitive AI agents that use Large Language Models (LLMs) to understand and analyze messy data or data that is somewhat structured. This predictive model layer identifies potential processing errors or data quality issues, enabling RPA bots to trigger a self-healing routine.

Custom RPA bot development to improve efficiency and productivity

Our foundational principles are rooted in the intricacies of proprietary business logic. Instead of just opting for generic automation solutions, our RPA developers meticulously analyze specific business processes. We develop tailored RPA bots designed to maximize the advantages of automation, ensuring smooth integration with your current systems while efficiently handling various data types.
Our Trustify Technology team is capable of customizing business operation bots for your unique ERP and CRM systems, effectively removing the inefficiencies that come with standard tools. Our team tailors bots to your specific processes, ensuring seamless integration and efficiency.

Upgrade and scale RPA systems without disrupting existing processes

As your business grows, overseeing a multitude of RPA bots can turn into a significant governance challenge. In this scenario, the primary concern is the development of disjointed workflows that lack auditability.
To tackle this issue, our skilled RPA developers create a cohesive strategy as our foundational architecture approach, guaranteeing that each new bot is compliant, monitored, and seamlessly integrated into your overall IT ecosystem. Therefore, we help organizations move from messy automated processes to a well-organized, large-scale intelligent automation system that is secure and dependable.

Embed predictive modeling powered by agentic AI in RPA bots

RPA continues to play a crucial role in core business operations, particularly when dealing with legacy systems, thanks to its reliable outcomes and cost-effectiveness. In the near future, AI agents could take over certain RPA implementations, yet RPA remains a more cost-effective and quicker solution, often exhibiting fewer errors compared to many AI tools.
To stay ahead of the competition, businesses can improve RPA bots by adding cognitive AI agents that use Large Language Models (LLMs) to understand and analyze messy data or data that is somewhat structured. This predictive model layer identifies potential processing errors or data quality issues, enabling RPA bots to trigger a self-healing routine.

Custom RPA bot development to improve efficiency and productivity

Our foundational principles are rooted in the intricacies of proprietary business logic. Instead of just opting for generic automation solutions, our RPA developers meticulously analyze specific business processes. We develop tailored RPA bots designed to maximize the advantages of automation, ensuring smooth integration with your current systems while efficiently handling various data types.
Our Trustify Technology team is capable of customizing business operation bots for your unique ERP and CRM systems, effectively removing the inefficiencies that come with standard tools. Our team tailors bots to your specific processes, ensuring seamless integration and efficiency.

Upgrade and scale RPA systems without disrupting existing processes

As your business grows, overseeing a multitude of RPA bots can turn into a significant governance challenge. In this scenario, the primary concern is the development of disjointed workflows that lack auditability.
To tackle this issue, our skilled RPA developers create a cohesive strategy as our foundational architecture approach, guaranteeing that each new bot is compliant, monitored, and seamlessly integrated into your overall IT ecosystem. Therefore, we help organizations move from messy automated processes to a well-organized, large-scale intelligent automation system that is secure and dependable.

Embed predictive modeling powered by agentic AI in RPA bots

RPA continues to play a crucial role in core business operations, particularly when dealing with legacy systems, thanks to its reliable outcomes and cost-effectiveness. In the near future, AI agents could take over certain RPA implementations, yet RPA remains a more cost-effective and quicker solution, often exhibiting fewer errors compared to many AI tools.
To stay ahead of the competition, businesses can improve RPA bots by adding cognitive AI agents that use Large Language Models (LLMs) to understand and analyze messy data or data that is somewhat structured. This predictive model layer identifies potential processing errors or data quality issues, enabling RPA bots to trigger a self-healing routine.

Enable Businesses to Deploy Agentic AI & RPA with Flexibility

At Trustify Technology, we recognize that adaptability is the key factor in achieving sustainable ROI for any enterprise. We offer a hybrid deployment model that seamlessly integrates Agentic AI with RPA. Our AI engineers and RPA developers collaborate closely to create and enhance a modular ecosystem in which AI agents perform dynamic reasoning while RPA bots carry out fixed tasks efficiently.
As a result, our hybrid intelligent automation model helps businesses grow gradually and allows them to quickly change their automation plans based on what the market needs.

Audit and select essential business workflows

Our selection methodology emphasizes high-friction, high-value workflows that enhance scalability across the enterprise. Our RPA developers and AI engineers collaborate to assess your business operations, identifying those “scale-first” processes or workflows where the integration of Agentic AI can reveal substantial growth opportunities, rather than merely reducing task time by a few minutes.

Define the right level of technology tie between Agentic AI and RPA bots

The primary risk associated with automation in the age of AI is fragmentation, as disjointed systems present a significant obstacle to achieving optimal efficiency. To address this critical challenge, our framework leverages event-driven architecture, enabling AI agents to activate RPA bots based on intricate contexts instead of fixed schedules. We boost productivity for “RPA bot hands” by integrating cognitive capabilities from the “Agent AI brain.”

Build & refine the hybrid operating model

Creating a hybrid intelligent automation model requires ongoing attention and refinement; it is a dynamic engineering process. Our skilled AI engineers and RPA developers utilize an agile automation framework to build your hybrid workforce in modular sprints. This framework then allows our team to deploy “Minimum Viable Agents” into production in just weeks, not months. By deconstructing the “build” phase into smaller, testable components, our team guarantees a swift time-to-market. This modular approach enhances safety during scaling, enabling effective risk management as you transition from a single pilot to a fully integrated ecosystem.

Handle & manage errors and exceptions

In high-stakes, domain-specific workflows, managing errors is crucial for ensuring safety and compliance. With our 20+ years of experience in software development across industries, we are fully aware of such critical settings. Our expert engineers will design and deploy Human-in-the-Loop (HITL) systems, where AI serves as the primary filter, directing only ambiguous cases to specialized human experts. Our team guarantees that when errors arise, they are handled with meticulous accuracy, ensuring your business remains compliant and operates efficiently.

Talk to Our Experts

Audit and select essential business workflows

Our selection methodology emphasizes high-friction, high-value workflows that enhance scalability across the enterprise. Our RPA developers and AI engineers collaborate to assess your business operations, identifying those “scale-first” processes or workflows where the integration of Agentic AI can reveal substantial growth opportunities, rather than merely reducing task time by a few minutes.

Define the right level of technology tie between Agentic AI and RPA bots

The primary risk associated with automation in the age of AI is fragmentation, as disjointed systems present a significant obstacle to achieving optimal efficiency. To address this critical challenge, our framework leverages event-driven architecture, enabling AI agents to activate RPA bots based on intricate contexts instead of fixed schedules. We boost productivity for “RPA bot hands” by integrating cognitive capabilities from the “Agent AI brain.”

Build & refine the hybrid operating model

Creating a hybrid intelligent automation model requires ongoing attention and refinement; it is a dynamic engineering process. Our skilled AI engineers and RPA developers utilize an agile automation framework to build your hybrid workforce in modular sprints. This framework then allows our team to deploy “Minimum Viable Agents” into production in just weeks, not months. By deconstructing the “build” phase into smaller, testable components, our team guarantees a swift time-to-market. This modular approach enhances safety during scaling, enabling effective risk management as you transition from a single pilot to a fully integrated ecosystem.

Handle & manage errors and exceptions

In high-stakes, domain-specific workflows, managing errors is crucial for ensuring safety and compliance. With our 20+ years of experience in software development across industries, we are fully aware of such critical settings. Our expert engineers will design and deploy Human-in-the-Loop (HITL) systems, where AI serves as the primary filter, directing only ambiguous cases to specialized human experts. Our team guarantees that when errors arise, they are handled with meticulous accuracy, ensuring your business remains compliant and operates efficiently.

Talk to Our Experts

Audit and select essential business workflows

Our selection methodology emphasizes high-friction, high-value workflows that enhance scalability across the enterprise. Our RPA developers and AI engineers collaborate to assess your business operations, identifying those “scale-first” processes or workflows where the integration of Agentic AI can reveal substantial growth opportunities, rather than merely reducing task time by a few minutes.

Define the right level of technology tie between Agentic AI and RPA bots

The primary risk associated with automation in the age of AI is fragmentation, as disjointed systems present a significant obstacle to achieving optimal efficiency. To address this critical challenge, our framework leverages event-driven architecture, enabling AI agents to activate RPA bots based on intricate contexts instead of fixed schedules. We boost productivity for “RPA bot hands” by integrating cognitive capabilities from the “Agent AI brain.”

Build & refine the hybrid operating model

Creating a hybrid intelligent automation model requires ongoing attention and refinement; it is a dynamic engineering process. Our skilled AI engineers and RPA developers utilize an agile automation framework to build your hybrid workforce in modular sprints. This framework then allows our team to deploy “Minimum Viable Agents” into production in just weeks, not months. By deconstructing the “build” phase into smaller, testable components, our team guarantees a swift time-to-market. This modular approach enhances safety during scaling, enabling effective risk management as you transition from a single pilot to a fully integrated ecosystem.

Handle & manage errors and exceptions

In high-stakes, domain-specific workflows, managing errors is crucial for ensuring safety and compliance. With our 20+ years of experience in software development across industries, we are fully aware of such critical settings. Our expert engineers will design and deploy Human-in-the-Loop (HITL) systems, where AI serves as the primary filter, directing only ambiguous cases to specialized human experts. Our team guarantees that when errors arise, they are handled with meticulous accuracy, ensuring your business remains compliant and operates efficiently.

Talk to Our Experts

Custom Agentic AI & RPA Solutions for Specific Industries’ ROIs

AI agents with advanced thinking skills can effectively handle complex business tasks by coordinating a group of RPA bots and system interactions to reach important business objectives over time. This trend is bolstered by IDC’s forecast indicating that AI will account for 10–15% of IT expenditures by 2026, with growth expected to reach $1.3 trillion by 2029.
Our team of over 170 IT experts at Trustify Technology is dedicated to helping businesses seamlessly embrace this movement. We focus on ensuring that every automation initiative delivers a clear, measurable return on investment (ROI) by tailoring agents to address specific industry challenges. To help businesses adopt this change successfully, our team will make sure that every automation project provides a clear, measurable return on investment (ROI) by customizing agents to tackle specific challenges in their industry.

Fintech & Banking

We implement Agentic AI workflows tailored to handle the intricacies of regulatory compliance and client onboarding processes, addressing the challenges that conventional RPA bots face when dealing with variable data and compliance regulations. Also, our skilled AI engineers and RPA developers will build agents that can improve trading, treasury, and fraud detection processes on their own by using a reasoning engine (LLM) combined with RPA's execution capabilities. Our automation strategy is designed to ensure adherence to stringent compliance and regulatory standards across various regions and countries, including the EU AI Act, DORA, PCI DSS 4.0, and SOX.

Healthcare & MedTech

The burden of administrative documentation often leads to physician burnout. Hence, our AI & RPA specialists focus on streamlining and automating administrative processes by integrating AI agents and RPA bots directly into EHR workflows. As a result, most administrative healthcare tasks will be automated or improved, helping to ease staff shortages in healthcare centers or hospitals while ensuring compliance with HIPAA and GDPR regulations.

Logistics and the public sector

Our specialized team will develop multi-agent systems in which collaborative AI agents consistently negotiate capacity, routing, and dynamic pricing. In essence, our hybrid intelligent automation, which includes AI agents and RPA bots, will enable us to forecast potential bottlenecks, maintenance failures, and optimal staffing levels. This advanced orchestration provides quantifiable cost benefits across various business functions.

Smart Home IoT

Autonomous, self-optimizing systems are leading the charge in the evolution of Smart Home IoT. Agentic AI systems excel at collecting, analyzing, and synthesizing data from numerous endpoints, such as sensors, grid prices, and weather conditions, to autonomously optimize HVAC and lighting performance. Our skilled AI engineers and RPA developers are equipped to help your operational teams evolve a smart house facility from a disparate array of devices into a cohesive, cost-efficient intelligent system.

Travel Tech

Our hybrid intelligent automation solution combines the reliable performance of RPA with the smart features of AI agents, effectively managing complex, high-volume tasks such as handling Passenger Name Records (PNR), ticketing, and refunds. Additionally, leveraging conversational AI agents to address routine inquiries in real-time will enable travel companies to achieve impressive conversion outcomes in a brief timeframe.  

Fintech & Banking

We implement Agentic AI workflows tailored to handle the intricacies of regulatory compliance and client onboarding processes, addressing the challenges that conventional RPA bots face when dealing with variable data and compliance regulations. Also, our skilled AI engineers and RPA developers will build agents that can improve trading, treasury, and fraud detection processes on their own by using a reasoning engine (LLM) combined with RPA's execution capabilities. Our automation strategy is designed to ensure adherence to stringent compliance and regulatory standards across various regions and countries, including the EU AI Act, DORA, PCI DSS 4.0, and SOX.

Healthcare & MedTech

The burden of administrative documentation often leads to physician burnout. Hence, our AI & RPA specialists focus on streamlining and automating administrative processes by integrating AI agents and RPA bots directly into EHR workflows. As a result, most administrative healthcare tasks will be automated or improved, helping to ease staff shortages in healthcare centers or hospitals while ensuring compliance with HIPAA and GDPR regulations.

Logistics and the public sector

Our specialized team will develop multi-agent systems in which collaborative AI agents consistently negotiate capacity, routing, and dynamic pricing. In essence, our hybrid intelligent automation, which includes AI agents and RPA bots, will enable us to forecast potential bottlenecks, maintenance failures, and optimal staffing levels. This advanced orchestration provides quantifiable cost benefits across various business functions.

Smart Home IoT

Autonomous, self-optimizing systems are leading the charge in the evolution of Smart Home IoT. Agentic AI systems excel at collecting, analyzing, and synthesizing data from numerous endpoints, such as sensors, grid prices, and weather conditions, to autonomously optimize HVAC and lighting performance. Our skilled AI engineers and RPA developers are equipped to help your operational teams evolve a smart house facility from a disparate array of devices into a cohesive, cost-efficient intelligent system.

Travel Tech

Our hybrid intelligent automation solution combines the reliable performance of RPA with the smart features of AI agents, effectively managing complex, high-volume tasks such as handling Passenger Name Records (PNR), ticketing, and refunds. Additionally, leveraging conversational AI agents to address routine inquiries in real-time will enable travel companies to achieve impressive conversion outcomes in a brief timeframe.  

Fintech & Banking

We implement Agentic AI workflows tailored to handle the intricacies of regulatory compliance and client onboarding processes, addressing the challenges that conventional RPA bots face when dealing with variable data and compliance regulations. Also, our skilled AI engineers and RPA developers will build agents that can improve trading, treasury, and fraud detection processes on their own by using a reasoning engine (LLM) combined with RPA's execution capabilities. Our automation strategy is designed to ensure adherence to stringent compliance and regulatory standards across various regions and countries, including the EU AI Act, DORA, PCI DSS 4.0, and SOX.

Healthcare & MedTech

The burden of administrative documentation often leads to physician burnout. Hence, our AI & RPA specialists focus on streamlining and automating administrative processes by integrating AI agents and RPA bots directly into EHR workflows. As a result, most administrative healthcare tasks will be automated or improved, helping to ease staff shortages in healthcare centers or hospitals while ensuring compliance with HIPAA and GDPR regulations.

Logistics and the public sector

Our specialized team will develop multi-agent systems in which collaborative AI agents consistently negotiate capacity, routing, and dynamic pricing. In essence, our hybrid intelligent automation, which includes AI agents and RPA bots, will enable us to forecast potential bottlenecks, maintenance failures, and optimal staffing levels. This advanced orchestration provides quantifiable cost benefits across various business functions.

Smart Home IoT

Autonomous, self-optimizing systems are leading the charge in the evolution of Smart Home IoT. Agentic AI systems excel at collecting, analyzing, and synthesizing data from numerous endpoints, such as sensors, grid prices, and weather conditions, to autonomously optimize HVAC and lighting performance. Our skilled AI engineers and RPA developers are equipped to help your operational teams evolve a smart house facility from a disparate array of devices into a cohesive, cost-efficient intelligent system.

Travel Tech

Our hybrid intelligent automation solution combines the reliable performance of RPA with the smart features of AI agents, effectively managing complex, high-volume tasks such as handling Passenger Name Records (PNR), ticketing, and refunds. Additionally, leveraging conversational AI agents to address routine inquiries in real-time will enable travel companies to achieve impressive conversion outcomes in a brief timeframe.  

Our Agentic AI & RPA Tech Stacks

Access the capabilities of over 150+ professionals to develop your software products in the tech stack that suits your needs.

Process Intelligence

AI Agent

Cloud

Process Intelligence

AI Agent

Cloud

Flexible Engagement Models enable Tailored-made Offerings

We architect and modernize platforms for both startups and established enterprises, ensuring seamless integration with existing IT maturity and scaling pace.

ODC based model

For a strong inhouse IT team, this model pricing is based on headcounts to enhance holistic operational efficiency.

Project based model

For a specific initiative in a defined time range, this model pricing is based on estimated scopes of works to deliver project timely.

Managed Service model

For a total IT solution in a specific field, this model pricing is based on custom specifications to empower your interal teams move faster, safer and smarter.

Build Operate Transfer model

For a business penetrating to Vietnam market, this model pricing is based on headcounts to establish and sustain most optimal development center.

Talk to our experts

ODC based model

For a strong inhouse IT team, this model pricing is based on headcounts to enhance holistic operational efficiency.

Project based model

For a specific initiative in a defined time range, this model pricing is based on estimated scopes of works to deliver project timely.

Managed Service model

For a total IT solution in a specific field, this model pricing is based on custom specifications to empower your interal teams move faster, safer and smarter.

Build Operate Transfer model

For a business penetrating to Vietnam market, this model pricing is based on headcounts to establish and sustain most optimal development center.

ODC based model

For a strong inhouse IT team, this model pricing is based on headcounts to enhance holistic operational efficiency.

Project based model

For a specific initiative in a defined time range, this model pricing is based on estimated scopes of works to deliver project timely.

Managed Service model

For a total IT solution in a specific field, this model pricing is based on custom specifications to empower your interal teams move faster, safer and smarter.

Build Operate Transfer model

For a business penetrating to Vietnam market, this model pricing is based on headcounts to establish and sustain most optimal development center.

FAQ Method & Process

What are the benefits of applying Agentic AI & RPA solutions with us?

Feature RPA Agentic AI
Primary goal Task replication and execution Cognitive reasoning, decision-making, and learning
Types of process Fixed, repetitive, rule-based Variable, complex, & unstructured
Data input Structured data & explicit rules Unstructured data
Task completion Execute (clicks, data entry, screen scraping) Cognitive load (interpreting, predicting, optimizing)

The hybrid model integrates the cognitive prowess of Agentic AI, which handles planning, interpretation, and decision-making, with the execution strength of RPA, delivering high-speed and precise interface interactions. This enables advanced automation, turning simple task efficiency into sophisticated, value-oriented workflow management.

We will support you in preparing for this new era of intelligent automation, from auditing business processes to orchestrating a hybrid model. Our skilled AI engineers and RPA specialists will deliver optimized configurations of AI agents, RPA bots, predictive models, and automated workflows. Also, our expert engineers will design and deploy Human-in-the-Loop (HITL) systems to ensure when errors arise, they are handled with meticulous accuracy.

The development timeline for an Agentic AI & RPA solution varies depending on the complexity of the project, the quality and quantity of available data, and the specific requirements of your business. On average, it can take anywhere from a few weeks to several months to develop and implement a robust AI solution.

The cost of developing an Agentic AI & RPA solutions depends on factors such as project complexity, data requirements, and the scope of the solution. We provide customized quotes based on your specific needs and budget constraints.

Our teams ensure the quality and accuracy of our Agentic AI & RPA solutions through rigorous testing, validation, and continuous monitoring. Additionally, we leverage advanced techniques to train our models and regularly update them with new data to maintain high performance and reliability.

Yes, we can integrate Agentic AI & RPA solutions with your existing systems and infrastructure. Our team ensures seamless integration to enhance your current operations without disrupting your workflows.

Yes, we offer ongoing support and maintenance services to ensure your Agentic AI & RPA solutions continue to operate effectively. Our team provides regular updates, performance monitoring, and optimization to adapt to changing business needs and technological advancements.

Feature RPA Agentic AI
Primary goal Task replication and execution Cognitive reasoning, decision-making, and learning
Types of process Fixed, repetitive, rule-based Variable, complex, & unstructured
Data input Structured data & explicit rules Unstructured data
Task completion Execute (clicks, data entry, screen scraping) Cognitive load (interpreting, predicting, optimizing)

The hybrid model integrates the cognitive prowess of Agentic AI, which handles planning, interpretation, and decision-making, with the execution strength of RPA, delivering high-speed and precise interface interactions. This enables advanced automation, turning simple task efficiency into sophisticated, value-oriented workflow management.

We will support you in preparing for this new era of intelligent automation, from auditing business processes to orchestrating a hybrid model. Our skilled AI engineers and RPA specialists will deliver optimized configurations of AI agents, RPA bots, predictive models, and automated workflows. Also, our expert engineers will design and deploy Human-in-the-Loop (HITL) systems to ensure when errors arise, they are handled with meticulous accuracy.

The development timeline for an Agentic AI & RPA solution varies depending on the complexity of the project, the quality and quantity of available data, and the specific requirements of your business. On average, it can take anywhere from a few weeks to several months to develop and implement a robust AI solution.

The cost of developing an Agentic AI & RPA solutions depends on factors such as project complexity, data requirements, and the scope of the solution. We provide customized quotes based on your specific needs and budget constraints.

Our teams ensure the quality and accuracy of our Agentic AI & RPA solutions through rigorous testing, validation, and continuous monitoring. Additionally, we leverage advanced techniques to train our models and regularly update them with new data to maintain high performance and reliability.

Yes, we can integrate Agentic AI & RPA solutions with your existing systems and infrastructure. Our team ensures seamless integration to enhance your current operations without disrupting your workflows.

Yes, we offer ongoing support and maintenance services to ensure your Agentic AI & RPA solutions continue to operate effectively. Our team provides regular updates, performance monitoring, and optimization to adapt to changing business needs and technological advancements.

Feature RPA Agentic AI
Primary goal Task replication and execution Cognitive reasoning, decision-making, and learning
Types of process Fixed, repetitive, rule-based Variable, complex, & unstructured
Data input Structured data & explicit rules Unstructured data
Task completion Execute (clicks, data entry, screen scraping) Cognitive load (interpreting, predicting, optimizing)

The hybrid model integrates the cognitive prowess of Agentic AI, which handles planning, interpretation, and decision-making, with the execution strength of RPA, delivering high-speed and precise interface interactions. This enables advanced automation, turning simple task efficiency into sophisticated, value-oriented workflow management.

We will support you in preparing for this new era of intelligent automation, from auditing business processes to orchestrating a hybrid model. Our skilled AI engineers and RPA specialists will deliver optimized configurations of AI agents, RPA bots, predictive models, and automated workflows. Also, our expert engineers will design and deploy Human-in-the-Loop (HITL) systems to ensure when errors arise, they are handled with meticulous accuracy.

The development timeline for an Agentic AI & RPA solution varies depending on the complexity of the project, the quality and quantity of available data, and the specific requirements of your business. On average, it can take anywhere from a few weeks to several months to develop and implement a robust AI solution.

The cost of developing an Agentic AI & RPA solutions depends on factors such as project complexity, data requirements, and the scope of the solution. We provide customized quotes based on your specific needs and budget constraints.

Our teams ensure the quality and accuracy of our Agentic AI & RPA solutions through rigorous testing, validation, and continuous monitoring. Additionally, we leverage advanced techniques to train our models and regularly update them with new data to maintain high performance and reliability.

Yes, we can integrate Agentic AI & RPA solutions with your existing systems and infrastructure. Our team ensures seamless integration to enhance your current operations without disrupting your workflows.

Yes, we offer ongoing support and maintenance services to ensure your Agentic AI & RPA solutions continue to operate effectively. Our team provides regular updates, performance monitoring, and optimization to adapt to changing business needs and technological advancements.