Custom AI Agent development factory – Build smart, scalable solutions with TMA Solutions

The demand for custom AI agents is rising as businesses look for smarter ways to improve operations and enhance customer experiences. If a company works with a trusted custom AI agent development partner, it can have AI agents designed for its own processes. These agents can connect smoothly with the current systems.

With more than 28 years in Software Provider and 700+ AI/ML experts, TMA Solutions is a reliable partner. They support businesses in their digital transformation journey.

1. Why Choose TMA for Custom AI Agent Development?

When choosing a partner to develop custom AI agents, businesses often look for three things: proven experience, a strong expert team, and a reliable development process. These are also the strengths that make TMA Solutions a top choice for global businesses:

• Strong AI Agent Factory & AI Center: TMA Solutions has built an AI Agent Factory and an AI Center equipped with international-standard systems. This infrastructure enables the rapid development, testing, and deployment of AI agents tailored to business needs.
• Deep integration with enterprise systems: TMA’s AI agents can connect and share data easily with ERP, CRM, and big data systems. This allows companies to use their existing IT resources without disrupting daily operations.
• Experienced engineers and modern methods: With more than 4,000 engineers, TMA applies Agile practices to ensure projects are delivered on time, efficiently, and with consistent quality - even for large-scale AI agent ecosystems.
• Multi-agent orchestration and continuous learning: The TMA framework supports multi-agent collaboration on complex tasks. It also includes continuous learning, allowing AI agents to improve based on real-world data.
• Multi-platform support and strong security: Whether deployed on cloud, on-premise, mobile, or desktop, TMA’s AI agents comply with international security standards (ISO 27001, CMMI 5), ensuring customer data remains fully protected.

2. What We Offer – Custom AI Agent Solutions

TMA Solutions offers many AI agent solutions for different business needs, such as:

• Chatbots & Voice Assistants: TMA develops intelligent chatbots and voice assistants that work on many channels, including web, app, and social media. Powered by large language models, these solutions enable natural, context-based conversations and provide 24/7 support for customer service, booking, technical assistance, and product consultation. Deep system integration ensures a smooth and consistent user experience.
• Multi-agent Orchestration: TMA’s platform can organize and run many AI agents together in complex workflows, automating cross-departmental processes and enabling intelligent decision-making. This orchestration technology has been successfully applied in industries such as process management, software testing, customer guidance, logistics, finance, healthcare, and manufacturing. It combines both rule-based and autonomous AI to create flexible teamwork between agents.
• AI-powered Predictive Analytics: By analyzing data from diverse sources (EMR, IoT, CRM, ERP), TMA’s predictive AI agents can predict customer behavior, demand, operation risks, or stock levels. Using modern AI/ML, these agents support proactive decisions, improve efficiency, and optimize resources in real time.
• Enterprise Integration: TMA’s AI agents connect deeply with existing enterprise systems through standard connectors: SQL, NoSQL, API, Data Streaming, and open protocols for automation. This capability makes it easy to sync data, scale operations, and connect with third-party services.
• AI Agent Framework & Toolkits: TMA provides a comprehensive framework that includes cross-industry agent libraries, no-code/low-code tools, and an Agent SDK for custom use cases. This approach cuts deployment time by 50%, makes updates and scaling easier, and ensures all agents adhere to the latest technology and security standards.

3. How We Build Your Custom AI Agent

TMA Solutions develops AI agents with a clear roadmap. The process follows business goals and optimizes resources. The steps are:

Step 1: Requirement survey and analysis

The project begins with a thorough review of business objectives, workflows, and integration requirements. TMA’s experts check technical feasibility, estimate ROI, and look for reusable agent templates to save cost and time.

Step 2: AI agent architecture design & technology selection
TMA uses its multi-industry agent library to design the right architecture and choose the best Foundation Model (LLM/CV/ML) for the specific use case. Depending on project needs, the team can use no-code/low-code or SDK to speed up testing. Connection points (API, data input/output) are defined to make sure the system can scale in the future.

Step 3: Prototype (MVP) development & demo
The team quickly builds a test version (MVP) based on the agent template and workflow. A demo is shown to stakeholders to collect feedback, allowing product tuning before full investment, and validates the solution with real data and users.

Step 4: Testing, performance review & improvements
The agent is deployed in a sandbox test environment where real interactions are simulated to check performance, security, and coordination between agents. Issues are analyzed and fixed on time to make sure the agent meets business, integration, and technical needs.

Step 5: Deployment & training
After passing tests, the agent is packaged in a container. It can be deployed flexibly on cloud or on-premise with auto-scaling and production workflows. TMA provides comprehensive training so client teams can operate, monitor, and manage the agent effectively.

Step 6: Maintenance, support & continuous optimization
After launch, the agent is continuously monitored using analytics and performance alerts. Feedback is used to update models, refine algorithms, and ensure scalability or rollback if needed. TMA offers long-term maintenance and feature updates to keep each agent performing at its best throughout its lifecycle.

4. Technologies & Expertise

With advanced technology and an experienced team, TMA Solutions delivers AI agents that are flexible, scalable, and ready for many business needs:

AI Models & Frameworks
TMA AI Agent Factory offers many foundation models, including machine learning, computer vision, and top LLMs (Llama, Qwen, Falcon). These models can be used directly or fine-tuned for specific needs, helping companies save time and boost operational efficiency. TMA also applies frameworks like LangChain and LangGraph to build smart agents that can work together and keep learning from real data.

Programming Languages & Architecture
TMA uses Go, Python, and FastAPI to develop high-performance and reliable systems. With container-based architecture using Docker and Kubernetes, deployment is flexible on both cloud and on-premise environments. This approach ensures scalability, stability, and enhanced security for enterprise applications.

System Integration
TMA’s AI agents integrate smoothly with ERP, CRM, SQL/NoSQL databases, and streaming data through standard APIs. This keeps information in sync in real time, helping businesses react fast, make accurate decisions, and optimize workflows. For greater flexibility and scalability, TMA also develops custom SDKs tailored to each client’s infrastructure.

Team Expertise & Process
TMA’s AI engineers hold certifications from leading organizations like Microsoft, Google, AWS, Nvidia, and IBM. This gives clients access to the newest technologies, supported by a flexible Agile process. As a result, projects are delivered quickly, with high quality, and can adapt to market changes.

5. Industries We Serve

TMA Solutions’ AI agents have been applied successfully in many industries, such as:

• Telecommunications: In the telecom sector, TMA’s AI agents handle calls automatically, support customer service, and optimize telecom networks for large service providers. The experts at TMA help integrate agents with CRM, billing, and network management systems, helping improve customer experience while reducing operation costs.
• Finance & Banking: TMA’s AI agents analyze transaction data, manage credit risk, automate customer service, and detect financial fraud. These solutions help financial organizations run more efficiently, improve analysis accuracy, and follow strict security standards.
• Healthcare: TMA develops AI agents for medical imaging, electronic health record management, remote health monitoring, and patient care automation. Smart AI supports doctors in accelerating diagnoses, while improving care quality and patient experience.
• E-commerce & Logistics: AI agents are built to answer customer questions, manage orders, handle payments, and track deliveries in e-commerce. In logistics, agents predict inventory, optimize warehouses, and manage supply chains in real time.
• Manufacturing & Industry: TMA’s AI agents support automatic factory monitoring, product quality checks, predictive maintenance, and production workflow control. With IoT and real-time analytics, agents help increase productivity, reduce errors, and ensure safety in industrial operations.

6. Engagement Models with TMA Solutions

TMA Solutions offers flexible collaboration models to meet each company’s AI agent needs, such as:

1 - Project-based

• Feature: TMA takes full responsibility for the AI agent project, from requirement analysis, design, and development to testing, delivery, and operation support. This process is strictly managed with clear commitments on timeline and quality.
• Process: Clients start by sharing their business and technical requirements, after which TMA’s experts propose the most suitable solution, create a prototype, and manage all development and deployment activities. Throughout the project, TMA provides transparent progress reports and takes full responsibility.
• Benefits: This model helps businesses minimize management workload and can focus on core activities. The project is handled by experts, so risks are lower, security is ensured, and the product is always delivered on time with clear costs.

2 - Staff Augmentation

• Feature: The client hires AI engineers or tech experts from TMA to join their internal team, either full-time or part-time, depending on project needs.
• Process: Based on the client’s requirements, suitable engineers are selected. TMA provides training, management, and coordination to ensure quality while the engineers work directly under the client’s supervision.
• Benefits: The business can quickly strengthen tech capacity without long-term hiring. The team can expand or shrink flexibly, saving recruitment and training costs while keeping project progress and quality.

7. Commitments in Custom AI Agent Implementation at TMA Solutions

With a customer-first approach, TMA Solutions ensures every AI agent is deployed sustainably and reliably, with the following commitments:

• Data security: Customer data is fully protected through strong encryption and strict access control. TMA follows international standards such as ISO 27001, GDPR, and HIPAA to keep all information safe during both storage and processing.
• Seamless operation and integration: AI agents are designed with open architecture, multi-platform support, and seamless integration through APIs, connectors, and standard protocols. Businesses can connect quickly without interrupting ongoing operations.
• Maintenance and continuous updates: TMA monitors performance and updates AI agents based on real data and user feedback. This keeps systems effective, adaptable, and competitive in the long term.
• Transparency and quality: Every project is managed with clear progress reports and strict testing. Clients can easily control, review, and adjust the direction when needed.
• Long-term partnership: Beyond solution delivery, TMA provides ongoing support, including training, expansion consulting, and fast troubleshooting. This sustainable cooperation helps businesses grow AI agents in line with long-term strategies.

8. Case Study TMA Solution Implemented

Here are three typical projects that TMA Solutions has delivered successfully, showing its strong capability in real-world deployment:

8.1. Multi-channel virtual assistant to improve customer service (Telecom & E-commerce)

• Challenge: A major telecom group struggled with an overloaded call center and inconsistent customer experiences across multiple channels.
• Solution: TMA built a multi-channel AI virtual assistant with voice and text. It could receive, sort, and answer FAQs automatically, while routing complex inquiries to human agents.
• Result: Reduced call center workload by more than 60%, improved response time and customer satisfaction, and lowered operation costs. The system worked smoothly on web, mobile, and social media.

8.2. Centralized data repository for advanced analytics (Data Science & AI/ML)

• Challenge: A large company needed to merge data from many separate systems into one unified platform to support fast decision-making.
• Solution: TMA built a Central Data Repository on the cloud. It included automated pipelines for data processing and standardization, plus AI/ML tools for forecasting models and management reports.
• Result: Saved more than 70% of time for data access and analysis, delivered real-time reports, improved decision accuracy, and boosted business performance.

8.3. Real-time demand forecasting and inventory optimization (Logistics)

• Challenge: A logistics company faced frequent stock imbalances, leading to inefficiencies and customer dissatisfaction.
• Solution: TMA deployed an AI agent to forecast demand using historical data, market changes, and external factors. The agent gave automatic suggestions for import-export strategies and warehouse coordination.
• Result: Reduced inventory by 20–30%, shortened order processing time, improved customer satisfaction, and cut operational costs through smarter resource utilization.

9. What Our Clients Say

Companies that work with TMA Solutions highlight several key strengths:

• High technical quality: TMA engineers are praised for strong expertise, responsibility in development, maintenance, and effective handling of complex requests.
• Speed and flexibility: Many clients are satisfied with TMA’s quick response and adaptability when project requirements change
• Professional and transparent process: Clear communication, structured project management, and detailed progress reports make collaboration efficient and trustworthy.
• Long-term and dedicated support: TMA is known for its post-delivery commitment to long-term partnership for maintenance and upgrades.
• Competitive pricing: Clients find TMA’s pricing fair and cost-effective, offering strong value relative to the quality, expertise, and scope of service delivered.

10. Frequently Asked Questions about Custom AI Agent Development

Here are some common questions when businesses consider custom AI agent development:

1 - How long does it take to develop a custom AI agent?
Typically, it takes 4–12 weeks to build an MVP. Developing full-featured AI agents may take longer depending on project complexity and integration needs.

2 - What types of AI are most requested today?
The most requested types include chatbots, voice assistants, process automation agents, predictive AI, big data analytics, and multi-agent systems.

3 - How is security and compliance ensured when deploying AI?
Data is protected with strong encryption, access control, and regular security testing, and compliance with ISO 27001, GDPR, HIPAA, and industry rules.

4 - How are AI agents supported and maintained after deployment?

TMA provides continuous maintenance, regularly updates AI models based on real data and user feedback, and offers technical support, troubleshooting, and new feature to keep systems running at peak performance.

The article has shown TMA Solutions’ technology strengths and flexible collaboration models. TMA is committed to delivering AI agents that are sustainable, secure, and optimized for ROI.

With global experience, a team of 4,000+ engineers, and strong technical capacity, TMA Solutions will design solutions that fit your business strategy. Contact TMA today for consultation.

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