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Conversational AI consulting &
development services
Our conversational AI development solutions
Our team creates different types of conversational AI systems, from AI-powered chatbots to AI voice agents and multi-agent systems, based on your business goals and end-user needs.
Streamline multi-step tasks involving interactions with other systems, enabling automated loan processing, real-time stock monitoring, and inventory replenishment and maximizing 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.
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 using intelligent voice bots, reducing contact center workload and call resolution times and ultimately optimizing operational costs.
Build your conversational AI solution with Itransition
Conversational AI use cases
Marketing & sales
We develop conversational AI tools and voice commerce solutions that deliver personalized product recommendations, facilitate voice-based shopping and sentiment analysis, and collect contact information, accelerating lead generation, boosting conversion rates, and significantly increasing customer engagement and revenue growth.
Customer support
Our experts build conversational AI applications that facilitate human-like interactions 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 agentic AI solutions and conversational AI-powered workflow automation systems that can be implemented across HR, accounting and finance, and other administrative functions, helping streamline tasks like employee onboarding, IT help desk operations, invoicing, or payroll processing.
Data-driven decision-making
Our solutions use natural-language queries to retrieve database information, summarize complex datasets, and generate automated reports, allowing non-technical users to uncover actionable business insights instantly.
Value-adding capabilities to augment your conversational AI solution
Create unique user journeys
Our AI developers create context-aware AI-driven solutions that adapt to each user’s intent, preferences, and needs, delivering personalized experiences and providing effective and relevant assistance.
Assist customers across channels
Our omnichannel AI solutions ensure a seamless customer journey across social media, mobile applications, web storefronts, and messaging apps, helping brands provide consistent 24/7 support on every preferred user channel.
Engage an international audience
We develop conversational solutions with multilingual support that seamlessly interact with users of different nationalities, extending your brand reach to a broader audience.
Protect user & business data
Our experts equip AI-powered systems with enterprise-grade security mechanisms to keep communications confidential for both users and businesses.
Client spotlight
AI agent for insurance claims processing
In pursuit of scaling its business operations, a USA-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 chatbot development 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 pipeline to provide the AI services you need.
1
Objectives & KPIs definition
Elicit business needs and pain points
Analyze corporate workflows and tech environment
Define software objectives as well as KPIs and key metrics to assess its effectiveness
2
Data audit
Explore available data sources
Assess dataset 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 (ERP, 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, AI model fine-tuning, software maintenance, and troubleshooting
Gather, analyze, and incorporate end-user feedback
Perform functional improvements, technology updates, and other enhancements
Conversational AI technologies we use
Languages | Python JavaScript | |||
|---|---|---|---|---|
Conversational AI libraries & frameworks | 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 experience in IT consulting and software development
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
Typically, pricing for a platform-based solution ranges from $5,000 to $10,000, while fully custom conversational AI software costs between $10,000 and $30,000. However, the actual price can range more widely based on the solution’s functionality, integrations, the choice of technologies (including cutting-edge ones), and architectural complexity. Get in touch with our consultants for a more accurate and personalized budget estimate for your conversational AI initiative.
As part of our conversational AI services, our AI 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), natural language understanding (NLU), natural language generation (NLG), and deep learning have long been staples in the tech stack of any conversational 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, contextually relevant responses and maintain coherent, human-like conversational flow.
Voice AI assistants like Amazon Alexa or Siri also rely on automatic speech recognition (ASR) to convert user inputs in spoken human 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, including retail, BFSI, and healthcare. At Itransition, we provide comprehensive conversational AI development services, developing chatbots and AI agents for manufacturing, ecommerce, healthcare, financial, and other organizations to help them eliminate repetitive manual tasks.
The adoption of solutions powered by conversational artificial intelligence brings multiple benefits to organizations.
- Cost savings driven by repetitive task automation and the provision of 24/7 support without additional staff expenses (e.g., night shifts pay)
- Higher team productivity as human agents don’t waste time on routine tasks and handle complex customer inquiries instead
- Increased customer engagement achieved through quick, accurate responses tailored to customer inquiries and delivery of personalized experiences based on previous customer interactions
Unlike traditional chatbots that rely on rule-based, fixed scripts with predefined responses, conversational AI agents support intent detection and handle dynamic dialogues, with each response built on prior context. At Itransition, we provide end-to-end chatbot development services, helping businesses define AI feasibility, create a detailed AI implementation roadmap and conversation design, develop chatbots or agents of any complexity, and ensure seamless AI integration into their technical ecosystems and workflows. For companies in regulated industries, we equip chatbots and agents with robust data governance and security measures, including data encryption, multi-factor user authentication, and guardrails for AI solutions to enable their compliance with data privacy and security regulations.
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