Services
SERVICES
SOLUTIONS
TECHNOLOGIES
Industries
Insights
TRENDING TOPICS
INDUSTRY-RELATED TOPICS
OUR EXPERTS
Conversational AI consulting &
development services
Our conversational AI development solutions
Our team creates different types of conversational AI systems ranging in scope, capabilities, and autonomy based on your business goals and end-user needs.
Automate complex tasks involving multiple steps and interactions with other systems, such as loan processing or stock monitoring and replenishment, to streamline business workflows and maximize operational efficiency.
Engage business users and consumers with personalized messages, answer their inquiries with relevant information in real time, and assist them with their tasks 24/7, improving customer experiences and boosting workforce productivity.
Generative AI solutions
Quickly generate various types of materials, from emails and meeting summaries to technical documentation and code, to speed up time-consuming content creation tasks.
IVR systems
Automatically handle customer queries or route them to a suitable live agent, reducing contact center workload and call resolution times, ultimately optimizing operational costs.
Build your conversational AI solution with Itransition
Conversational AI use cases
Marketing & sales
We develop conversational AI tools to target your audience with personalized offers or recommendations, provide information on your product and service offering, and collect contact information, fostering lead generation and conversion and boosting customer engagement.
Customer support
Our experts build conversational AI applications to automate order tracking, returns management, claims processing, and other support tasks, enabling self-service capabilities and 24/7 customer assistance, faster case resolution, and improved customer satisfaction and retention.
Business process automation
We deliver advanced AI solutions designed to streamline business operations across HR, accounting and finance, and other administrative functions, helping streamline clerical tasks such as invoicing or payroll processing and maximize operational efficiency.
Data-driven decision-making
Our AI-powered solutions can quickly retrieve the required information from databases, summarize content, conduct analysis, and generate reports based on natural-language queries, enabling users with any technical background to investigate data assets and derive actionable insights for informed decisions.
Value-adding capabilities to augment your conversational AI solution
Create personalized user journeys
We design AI solutions that adapt to each user’s intent, preferences, and needs, delivering unique conversational experiences and providing effective and relevant assistance.
Assist customers across channels
We build omnichannel solutions that operate efficiently across social media, mobile apps, digital storefronts, and other touchpoints to engage and assist users on their preferred communication channels.
Engage an international audience
We develop multilingual systems that seamlessly interact with users of different nationalities, extending your brand reach to a broader audience.
Protect user & business data
Our experts implement robust cybersecurity mechanisms into your solution to ensure all AI-powered communications remain confidential and secure for both users and businesses.
Client spotlight
AI agent for insurance claims processing
In pursuit of scaling its business operations, a US-based insurance firm faced an increasing volume of claims that its existing manual workflows could not efficiently handle. The resulting operational bottlenecks led to higher operational costs and a greater risk of human error during the claims review process. To optimize its cumbersome claims processing workflows and enable sustainable business growth, the company partnered with Itransition’s AI development team.
Solution
Our specialists delivered an AI-powered virtual agent designed to:
- Record claims submitted via forms or email and assist customers with document uploads.
- Identify the type of insurance request (such as health or car), create a case in the claims management system, and attach all relevant documents.
- Verify the submitted information, request any missing data if required, and validate the claim against policy coverage to approve it or, alternatively, escalate it for human review.
- Initiate payments for approved claims and provide real-time status updates to customers.
Results
24%
reduction in average claims processing time
17%
increase in the number of claims handled without team extension
AI-powered logistics analytics assistant
Our client is a major distributor of food products working with a large number of retail stores on a daily basis. The company collects a massive volume of operational data, such as sales and inventory levels. Previously, the company conducted data analysis via traditional BI systems. However, regular software maintenance and manual BI report adjustments became increasingly time-consuming, slowing down decision-making processes.
Solution
We built an AI-powered analytics assistant that can:
- Interpret and answer queries in natural language (such as “Show product returns by region for the last two months”) based on corporate data.
- Generate charts, graphs, visual reports, and other visualization options according to user requests to foster data democratization.
- Handle follow-up questions to help users find deeper dependencies in data.
Results
Faster
self-service access to data analytics for business users, without requiring IT assistance
73%
of users moving to the new system within one month thanks to superior usability and more extensive functionality
1.5
FTE savings for the IT team on software maintenance
AI assistant for VIP customer support
Our client, a major electronics retailer, aimed to increase average spend per customer through increased loyalty. Thus, the company expanded its existing loyalty program, offering fast, high-quality after-sales support to help VIP members get the most out of their devices.
Solution
Our team developed an AI assistant that provides instant and personalized post-purchase support for VIP customers. The solution can:
- Participate in human-like conversations to quickly answer questions about product features, usage, or issues, replacing manuals and support team agents.
- Provide suggestions and tips to help customers explore advanced features they might not be aware of (e.g., "Did you know your TV can sync with your smart speaker?").
- Recommend new products or complementary items based on customers' preferences and previous purchases, such as a smart plug for their voice assistant or a wireless mouse for their laptop.
Results
7.5%
increase in average spend for customers who joined the loyalty program
2.5%
reduction in customer churn for buyers who joined the program
Looking for a conversational AI development company?
Our conversational AI development roadmap
Our specialists can handle your conversational AI project from start to finish, or step in at any stage of the development process to provide the services you need.
1
Objectives & KPIs definition
Elicit business needs and pain points
Analyze corporate workflows and tech environment
Define software objectives and KPIs to assess its effectiveness
2
Data audit
Explore available data sources
Assess data quality and structure
Establish a data management strategy
3
Solution design & implementation planning
Choose a suitable type of conversational AI solution
Design a software architecture and select a tech stack ensuring full compatibility with your IT environment
Define the project’s scope, timeline, deliverables, and budget
4
Development & integration
Develop the solution from scratch (including AI model training) or rely on open-source AI models and fully managed conversational AI platforms
Set up API-based integrations with other systems and services (CRM, knowledge bases, digital platforms, etc.)
Perform end-to-end testing and quality assurance
5
Pilot operation & launch
Deploy the artificial intelligence solution to production and make it available to a limited group of pilot users
Collect early user feedback to debug and fine-tune the solution accordingly
Extend availability to all users
6
Support & maintenance
Provide ongoing user support, software maintenance, and troubleshooting
Gather, analyze, and incorporate end-user feedback
Perform functional improvements, technology updates, and other enhancements
Itransition’s conversational AI development toolkit
Languages | Python JavaScript | |||
|---|---|---|---|---|
Conversational AI libraries & technologies | LangGraph LlamaIndex CrewAI Microsoft AutoGen | |||
Conversational AI SaaS | Azure OpenAI Amazon Bedrock Agents Amazon Q Google Vertex AI Claude AI Microsoft Copilot Agent LangSmith Hub | |||
NLP technologies |
| |||
Cloud providers | AWS Microsoft Azure Google Cloud Platform Hugging Face | |||
Working environment | vLLM Ollama Serverless RAGAS Azure Bot SDK Terraform User feedback analysis |
Conversational AI solutions for your industry
Our team develops conversational AI software tailored to industry-specific use cases, quality standards, and data privacy regulations.
Healthcare
Retail & ecommerce
Manufacturing
Automotive
Education
Finance
Insurance
Real estate
Telecom
Software & hi-tech
Why Itransition
25+ years of experiencein the IT industry
Providing AI services for 5+ years
An in-house AI/ML Center of Excellence
Standing partnerships with Microsoft and AWS
Quality and information security management compliant with ISO 9001 and ISO 27001
AI solutions adhering to GDPR, HIPAA, PCI DSS, and other data management standards and regulations
Clients ranging from startups to Fortune 500 companies
Awards and recognitions from Deloitte, Gartner, Forrester, and Everest Group
4.9 average review rating on Clutch
FAQs
For the first production version of a conversational AI application, you can expect to invest between $5,000 and $10,000 for a platform-based solution and from $10,000 to $30,000 for custom software. However, the actual price can range more widely based on the solution’s functionality, integrations, tech stack, and architectural complexity. Get in touch with our consultants for a more accurate and personalized budget estimate.
Yes, our experts can audit your software ecosystem to select a suitable tech stack for your conversational AI tool, ensuring seamless integration with the business applications and third-party services you currently use.
While machine learning, natural language processing (NLP), and natural language understanding (NLU) have long been staples in the tech stack of any conversational AI system, modern solutions are primarily based on GenAI, especially large language models like GPT, Claude, and Gemini. These models enable AI systems to understand and generate natural, context-aware responses.
Voice assistants also rely on automatic speech recognition (ASR) to convert user inputs in spoken language into text, and text-to-speech (TTS) technologies to turn generated text back into natural-sounding speech.
Conversational AI software can be a valuable addition to the tech toolkit of companies in any industry. That said, according to recent statistics, the leading sectors in terms of conversational AI adoption are currently retail, BFSI, and healthcare.
Related cases
Service
Artificial Intelligence (AI) Services
Explore our range of AI services, along with key AI use cases, related technologies, and adoption guidelines.
Insights
Conversational AI Trends & Statistics for 2025
Explore recent statistics on conversational AI’s market trends, solution types, features, and adoption fields, along with insights into payoffs and concerns.
Service
Machine Learning Development Services
Powerful machine learning solutions to automate complex business processes and enable data-driven decision-making from a machine learning development company.
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.