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Our team develops GenAI solutions that can summarize, analyze, and generate various types of content, helping companies streamline diverse workflows, from routine clerical activities to complex decision-making, and engage users through meaningful, human-like interactions.
We deliver GenAI-based chatbots and virtual assistants that provide business users and customers with personalized communications, round-the-clock access to relevant information, and assistance with routine tasks, increasing workforce productivity and enhancing customer experience.
Our specialists build autonomous software agents that can handle complex business workflows, including marketing campaign planning, order processing, and support case resolution, with minimal human intervention for maximum operational efficiency.
We help you maintain, refine, and enhance your GenAI solution to ensure it performs optimally, operates without interruption, and evolves in line with your business goals and technology trends.
We identify inefficiencies and areas for improvement that can be addressed with GenAI, design a tailored solution aligned with your goals, recommend a suitable tech stack, and provide implementation support to ensure seamless project delivery and maximized value of your GenAI initiative.
Our client, a major food distributor, relied on a legacy and hard-to-maintain BI system lacking automation capabilities to analyze inventory levels and other operational data, resulting in slower decision-making.
We created an AI analytics assistant that can answer queries in natural language based on corporate data, generate intuitive graphs and visual reports, and address follow-up questions to provide deeper insights.
savings for the IT team on software maintenance
self-service access to data analytics for business users
Our client, a large insurance provider, maintains an extensive knowledge base, including policy documentation, guidelines, and related content, that has become increasingly difficult to maintain and navigate. That’s why insurance agents often struggled to quickly locate the information they needed, resulting in reduced customer service efficiency.
We built a GenAI agent integrated with the client's knowledge base. As a result, insurance agents can quickly locate the information they need, such as insurance terms or policy details, and receive a concise summary with a link to the original source, all through natural-language interaction with the solution.
Policy details search time reduced
Overall insurance agent productivity increased by up
With extensive experience across various industries, Itransition can build tailored solutions powered by GenAI to meet your audience’s needs, streamline sector-specific workflows, and comply with standards and regulations applicable to your vertical.
Strategic review
Business process audit to identify inefficiencies and improvement opportunities
Business objectives elicitation
Determination of AI relevance for achieving your business goals
AI strategy development
Elaboration of an AI strategy aligned with your business goals
Outline of software objectives to facilitate design and development decisions
Definition of KPIs and metrics to measure AI effectiveness
Solution design
Data quality and availability assessment
Solution's architecture design and software integration planning
Outline of the project scope, stages, budget, and timeline
Development & delivery
AI solution development and integration with existing systems via APIs or other options
Solution deployment to the production environment
Ongoing testing and incorporation of user and stakeholder feedback
Adoption & support
AI solution integration into your business workflows
Assistance and training on AI enablement across corporate functions
Solution’s KPI tracking to evaluate AI effectiveness and outline potential improvements
We have an internal competency center to aggregate knowledge on different AI technologies as well as a project portfolio spanning 20+ industries. This enables us to effectively handle development projects of any scale and complexity and deliver GenAI solutions with a suitable tech stack, ensuring their seamless integration with your existing IT environment.
Following our ISO 9001-compliant quality management system, Itransition’s team develops GenAI solutions in line with the highest software engineering standards to ensure their excellent performance and scalability and seamless user experiences. To achieve this, we perform accurate data preparation, carry out bias-free AI model training with diverse and representative data sets, and assess model output based on selected metrics to address potential performance issues.
Our ISO 27001-certified information security management system ensures the safety of your GenAI project’s development environment and related data. Furthermore, we develop AI software compliant with relevant data management standards and regulations, such as the GDPR, HIPAA, and PCI DSS. This includes protecting your solution with built-in security mechanisms like multi-factor authentication and data encryption.
We offer multiple collaboration options to best meet your requirements. We can handle your project from start to finish while you keep track of our progress. Alternatively, we can provide a team of professionals supervised by our project manager to complement your in-house or outsourced AI experts and speed up project delivery. Finally, we can select individual specialists to join your team and quickly fill skill gaps.
Providing IT services since 1998
5+ years of experience in AI development and consulting
10+ development centers serving clients from 40+ countries
Holistic artificial intelligence expertise consolidated into our AI/ML Center of Excellence
Strategic partnerships with Microsoft and AWS
Clients ranging from startups to Fortune 500 companies
Awards and recognitions from Deloitte, Gartner, Forrester, and Everest Group
4.9 overall review rating on Clutch
The budget for a GenAI software development project can range remarkably based on functional and
non-functional requirements (including expected AI model accuracy), architectural complexity, availability of
out-of-the-box algorithms and pretrained models, data management costs, and computational power needed for
generative AI model development.
Overall, the investment usually starts at $5,000 for automating an
entry-level workflow with low-code-based AI software, while you can expect to spend between $30,000 and
$40,000 for automating one or two single-level workflows with custom AI software featuring simple
integrations. For more advanced AI solutions, the price will depend on your unique requirements. Get in touch
with our team of AI consultants for a more accurate cost estimate based on your specific needs.
Along with GenAI, we use an ensemble of artificial intelligence technologies to deliver AI-powered software solutions tailored to your specific business needs, including:
Machine learning
including deep learning and neural networks, to build innovative solutions that autonomously learn how to
complete complex tasks for business automation, data analysis, and forecasting, improving their accuracy
through experience.
Consider the following factors to select a software development company for your GenAI project:
We typically rely on a combination of tools, platforms, and services which can include:
Service
Itransition develops high-performance conversational AI solutions for businesses to deliver engaging customer experiences and increase operational efficiency.
Insights
Explore the role of AI in the workplace, its use cases, and future trends, along with adoption benefits and guidelines for overcoming potential roadblocks.
Service
Powerful machine learning solutions to automate complex business processes and enable data-driven decision-making from a machine learning development company.
Insights
Itransition presents an up-to-date list of ML statistics covering adoption trends and challenges, economic impact, current investments, and the job market.
Insights
Explore top use cases, trends, real-world examples, and benefits of AI chatbots in healthcare, along with adoption challenges and tips for addressing them.
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Discover the use cases, trends, real-life examples, and payoffs of virtual shopping assistants, along with implementation challenges and tips to overcome them.
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