Services
SERVICES
SOLUTIONS
TECHNOLOGIES
Insights
TRENDING TOPICS
INDUSTRY-RELATED TOPICS
OUR EXPERTS
AI agent development services & solutions
Our AI agent development service roadmap
1
Objectives & KPIs definition
We start with defining business needs and pain points that you want to address with agentic AI solutions. Whether it’s automating high-volume data management workflows or improving response time with round-the-clock customer support, we help you set clear software objectives that’ll guide the implementation process. We also establish KPIs and metrics to measure the effectiveness of agentic workflows, enabling continuous performance monitoring and optimization.
2
Data audit
To ensure your AI agent delivers maximum value, we assess the quality and structure of your datasets and develop a data management strategy based on our findings.
3
Solution design & implementation planning
Based on project requirements, we select the appropriate AI agent type and design how the solution will integrate into your IT environment, ensuring compatibility with existing software and workflows. After that, we perform project budgeting and roadmapping.
4
Development & integration
We develop an agent from the ground up or set up an agentic AI solution based on fully managed services from leading providers for faster project implementation. Our specialists then set up integration points between your AI agent and other systems or services, such as business applications, social media, and digital storefronts.
5
Pilot operation & optimization
To minimize operational risks and business process disruptions after the final rollout, we validate the performance of the AI agent with a group of early adopters. We gather their feedback on system usability, accuracy, and efficiency and fine-tune the solution before production usage to ensure it delivers the expected outcomes.
6
Rollout, support & maintenance
After deploying the solution to the production environment, we provide ongoing support, maintenance, and updates, making sure that your AI agent performs seamlessly and evolves in line with new business needs and emerging tech trends.
Our featured projects
AI agent for appointment management
Our client, a US-based healthcare provider, encountered several inefficiencies within its medical appointment scheduling process. Because of the manual coordination of patient and doctor calendars and patients’ inability to find an appropriate specialist, the company frequently experienced administrative overload. Additionally, short-notice cancellations and limited flexibility in adjusting schedules on demand caused operational disruptions and negatively impacted the company’s revenue.
Solution
Itransition developed an AI-powered system that schedules appointments by analyzing doctors’ calendars and patients’ availability, symptoms, and medical histories. The system also autonomously manages bookings and rescheduling, updating doctors’ calendars and sending real-time notifications to patients. What is more, an AI agent contacts patients before their appointments and manages reschedules if required through a dynamic waitlist to reduce the risk of short-notice cancellations.
Results
37%
decrease in administrative efforts due to automating the booking, rescheduling, and patient notification and verification processes
Claims processing AI agent
A US-based insurance company partnered with Itransition to address inefficiencies in its claims processing workflow, which were limiting its scalability and business growth. As the volume of claims increased, the reliance on manual processing led to linear scaling of the processing department, higher operational costs, and a rise in customer complaints. Moreover, specialists became overwhelmed by the high volume of simple claims, leaving little time to analyze complex ones where mistakes are costly.
Solution
Itransition’s team developed an AI-powered agent that automates the complex claims processing workflow end-to-end. The system enables customers to submit claims through forms or email and supports seamless document uploads. It then automatically identifies the type of insurance request (e.g., health, auto, etc.) and creates a case in the claims management system, attaching all relevant documents.
After verifying the completeness of the submitted information and requesting any missing data if necessary, the agent validates the claim against policy coverage. Based on this analysis, it either approves the claim or escalates it for manual review. The solution can also initiate payments for approved claims and provide real-time status updates to customers via chatbot.
Results
24%
decrease in average claims processing time
17%
increase in claims volume handled without team extension
AI agent for inventory management
Our client, a UK-based home and garden goods retailer, faced ongoing challenges with stock shortages due to a broad product range and fluctuating customer demand, leading to missed sales opportunities. The manual process of creating and sending Requests for Quotation (RFQs) was also time-consuming and error-prone. What is more, evaluating supplier responses and selecting the optimal offer lacked efficiency and a structured approach.
Solution
Itransition’s team developed an AI-powered inventory management agent that automatically monitors stock levels using data from the warehouse management system (WMS) and initiates procurement activities based on demand forecasts. The agent can also generate and distribute RFQs to relevant suppliers. Upon receiving responses, it evaluates proposals based on multiple criteria, such as cost, delivery time, payment terms, and warranty, and provides a comparative analysis with recommended options. On top of that, the agent can autonomously handle payment processes and update inventory statuses within the WMS.
Results
4%
reduction in stock shortage cases
48%
decrease in manual effort for RFQ processing
2.9%
average reduction in product prices due to improved supplier selection
See our AI agents in action
AI agent capabilities we help you leverage
Boost operational efficiency through automation
Automate up to 60% of repetitive tasks, even in the absence of predefined guidelines, to free your teams from clerical activities and reduce operational costs arising from human errors and process inefficiencies.
Make better business decisions with data-driven insights
Access real-time insights, predictions, and recommendations in natural language without the need to pre-configure analytics reports.
Enhance customer engagement with instant, comprehensive support
Improve customer satisfaction and loyalty by handling up to 80% of interactions autonomously and providing personalized customer experiences, instant responses, and 24/7 support.
Facilitate robust security & compliance management
Prevent fraud attempts and other threats, safeguard your systems and information assets, and ensure full compliance with regulatory requirements, such as HIPAA, SOC2, and others.
AI agents for industry-specific use cases
We deliver custom agents designed to perform specific tasks across an extensive range of industries.
Healthcare
Our experts develop agentic AI solutions to reduce the administrative burden on clinical staff while improving patient engagement and healthcare outcomes.
- Collect patient data to provide preliminary assessments and remote consultations
- Gather and input patient condition and personal data into the EHR system to schedule appointments
Retail & ecommerce
We provide retailers with AI agent systems to offer tailored shopping experiences and streamline operations across the supply chain.
- Process customer orders and update inventory levels in real time to prevent overselling and order cancellations
- Handle customer inquiries, resolve common issues, and escalate complex ones to human agents
Manufacturing
We create AI-powered solutions to help manufacturers optimize product lifecycle management end-to-end and prevent supply chain disruption.
- Analyze raw material inventory levels and demand forecasts to generate purchase orders
- Process work orders and analyze production priorities and workforce availability to assign tasks to robotic systems
- Monitor sensor data from production lines to detect anomalies and schedule inspection and repair activities
Automotive
Our team develops AI agents to help automakers produce more efficient vehicles, assist dealers in managing customer relationships, and ensure a superior driving experience.
- Handle routine customer inquiries about vehicle features, warranty details, or maintenance schedules
- Track parts inventory, identify low stock levels, and place orders to replenish parts as needed
- Schedule vehicle service appointments based on customer preferences and technician schedules
Finance
We equip financial institutions with agentic AI solutions to facilitate banking and wealth management operations while minimizing business risk.
- Analyze transaction data in real-time to identify suspicious activities and alert both customers and bank officials about potential fraud
- Analyze customer financial profiles and market trends to generate personalized investment suggestions
- Collect, verify, and assess loan application data to determine its eligibility based on predefined criteria
Insurance
Our AI agents help insurance companies provide more personalized services, streamline policy management, and speed up claims resolution for greater customer satisfaction.
- Gather claims details from customers and policy coverage data to perform an initial payment eligibility assessment
- Calculate policy pricing and assess the risk profile for insurance underwriting based on customer data, industry benchmarks, and historical claims
- Review expiring policies, update their terms based on customer circumstances, and send renewal reminders with update explanations
Real estate
Our team of experts delivers virtual agents powered by AI technologies to facilitate real estate investments and streamline interactions between realtors, owners, and tenants.
- Gather data on available properties, upload listings to websites, and generate leads based on user preferences and search behaviors
- Collect and analyze applicant data, including criminal records and financial history, to provide recommendations for rental approval
- Provide real-time property value estimates for buyers and sellers using market trends, historical sales data, and property details
Telecom
Our specialists create AI agents to help telecommunications companies provide timely customer support, enhance account management, and ensure service continuity.
- Generate customer invoices, send payment reminders based on account activity and due dates, and process payments
- Analyze customer usage data and suggest changes in service plans or upgrades based on their specific needs and usage patterns
Software & hi-tech
We build AI agents to speed up the software development lifecycle, achieve superior product quality and security, and facilitate software adoption and troubleshooting.
- Debug the system: scan code for issues, identify issues, and generate patches or updates to fix the identified problems
- Deploy new software versions, configure settings across devices or servers, and establish seamless API-based integration with existing systems
AI agent development challenges we help solve
Technical environment compatibility
We carefully audit your technology landscape to deliver AI agentic software that seamlessly integrates with it. Having extensive domain expertise as well as certifications from industry leaders, such as AWS, Microsoft, and Google, we help you select the optimal technology stack, ensuring smooth communication between AI agents, enterprise systems, and third-party applications with optimized integration efforts.
Seamless integration into established business workflows
To ensure a smooth adoption of AI agents and minimize the risk of business process disruptions, we develop a comprehensive user onboarding strategy. This includes conducting tailored training sessions and workshops to ensure users are well-aware of the system's capabilities and limitations. On request, we provide ongoing user support to address any challenges teams encounter during the adoption process. Additionally, we establish robust user feedback mechanisms to promptly report issues and suggest improvements, ensuring continuous system optimization.
Security & compliance
Our team builds AI agents that enable safe interactions, user information protection from breaches or leaks, and compliance with applicable data management standards such as GDPR and HIPAA. To achieve this, we select AI agent platforms with built-in protection and compliance mechanisms or integrate security measures like IAM, data encryption, and data masking into our custom solutions.
Team up with Itransition to build powerful AI agents
Itransition’s AI agent development tech stack
Languages | ||||
|---|---|---|---|---|
Agentic libraries & technologies |
|
|
|
|
Agentic & gen AI SaaS |
|
|
| |
NLP technologies |
|
|
|
|
Cloud providers |
|
| ||
Working environment |
|
|
|
|
About Itransition
Providing IT servicessince 1998
5+ years of experience in AI software development
An internal AI/ML Center of Excellence
Strategic partnerships with Microsoft and AWS
Quality and information security management compliant with ISO 9001 and ISO 27001
Clients ranging from startups to Fortune 500 companies
Awards and recognitions from Deloitte, Gartner, Forrester, Everest Group, and Clutch
4.9 average review rating on Clutch
FAQs
The investment for basic AI agent development usually ranges from $5,000 to $10,000 for low-code-based agents and from $10,000 to $30,000 for a custom-developed AI agent depending on the solution’s capabilities as well as the number and type of integrations. Our AI consultants recommend the most suitable option to optimize your project budget, such as adopting low-code or no-code AI agent builders to speed up the development process and open-source AI models and technologies to lower tech stack costs.
Despite the closing gap between these three forms of artificial intelligence, their capabilities typically differ in scope, decision-making, and autonomy.
-
AI chatbots
are conversational AI solutions designed to interact with users and answer their inquiries in natural language. Compared to AI agents and assistants, the scope of AI chatbots is relatively limited and usually involves collecting data from users, retrieving information from knowledge bases and sharing it, or engaging users through proactive messages. - AI assistants
can perform AI chatbots’ functions, along with additional and more complex tasks like managing schedules, controlling smart home devices, and facilitating product orders, bank transfers, or other transactions. Still, they typically cannot take action without user input. - AI agents
are proactive tools that boast the broad scope of AI assistants, combined with a higher degree of autonomy and superior problem-solving. They can plan and execute multi-step processes involving different systems and platforms with minimal human intervention. Furthermore, the most advanced solutions, including generative AI agents, can learn through experience, storing data from previous interactions to improve future outcomes.
AI agents can be divided into five classes, reflecting different levels of context awareness and operational capability.
- Simple reflex agents
AI tools built with relatively basic ML algorithms that act according to predefined rules and currently available data, including smart home devices activating at a certain time of day. - Model-based reflex agents
AI systems that combine current perceptions with data stored from past events to create a model of the real-world scenario where they operate and make decisions accordingly. - Goal-based agents
AI solutions that make decisions based on an internal model and a goal to achieve, comparing different approaches to select the most effective one (for instance, the best resource allocation to optimize complex workflows and business operations). - Utility-based agents
Agentic AI solutions that aim to both reach an outcome and maximize its value for the user, such as financial robo-advisors with interactive user interfaces, making automated investment decisions for maximum portfolio returns. - Learning agents
Intelligent agents built with sophisticated AI and machine learning algorithms that progressively expand their knowledge base and improve their performance through experience and cutting-edge feedback mechanisms.
Related cases
Service
Artificial Intelligence (AI) Services
Explore our range of AI services, along with key AI use cases, related technologies, and adoption guidelines.
Case study
AI answer engine for doctors and patients
Learn how we delivered a PoC of an OpenAI-based web application that answers medical questions interacting with the Davinci AI model.
Insights
AI in CRM: 16 Use Cases, Best Platforms, and Adoption Guidelines
Explore the major use cases, real-life examples, and implementation best practices of AI in CRM, along with the top AI-powered platforms on the market.
Service
Artificial Intelligence (AI) Consulting Services
Explore our AI consulting services, along with related technologies, use cases by industry, and implementation best practices.
Insights
Salesforce Einstein Features, Examples, and Guidelines
Explore Salesforce Einstein’s top features, implementation examples, and benefits, along with tools and guidelines to streamline its adoption.
Service
Machine Learning Experts: Our Services & ML Tech We Use
Get ML consulting and development services from machine learning experts. Proven expertise in artificial intelligence, machine learning, and data science.