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Artificial intelligence services & solutions
How we help you leverage
AI for your business
We deliver AI-powered solutions to help companies make more informed decisions, maximize operational efficiency, and streamline communications with customers and partners.
Data-driven business insights
- Demand forecasting
to improve financial planning, optimize resource usage, and scale business activities with confidence - Customer segmentation
to personalize interactions with customers, helping reduce churn and increase customer lifetime value - Predictive maintenance
to reduce equipment downtime and related costs, extend asset lifespan, and improve employee safety
- Fraud detection
to prevent financial losses, reduce data breach risks, and support regulatory compliance - Supply chain optimization
to minimize the risk of stockouts or overstocks and ensure smooth inventory flows
Workflow automation
- Document processing & data extraction
to reduce manual effort and improve data accuracy and consistency across your information assets - Content generation
to cut down on operational costs and focus on the creative and strategic aspects of the content creation process - Automated monitoring
of corporate assets, production environments, or workforce activities to reduce operational downtime, identify process inefficiencies, and support regulatory adherence
Communication automation
- Commerce virtual assistance
to provide customers with personalized product suggestions and instant support, boosting conversion rates, upselling, and cross-selling - Conversational customer support
to reduce service costs for companies, improve response time, and provide 24/7 assistance - Smart order fulfillment
to provide customers with 24/7 self-service order placement and tracking
- Knowledge management
to minimize manual knowledge curation overhead, improve resource utilization, and reduce searching time - Virtual data analytics assistance
to enable self-service access to data analytics and faster decision-making, along with cost-savings on BI software implementation and maintenance
Selected AI solutions we deliver
Handle complex tasks, such as customer order processing or applicant screening, with minimal human supervision, to automate and streamline your business processes and improve operational efficiency.
Provide consumers and business users with relevant information and timely support 24/7, ensuring better customer experiences and superior employee productivity.
Analyze visual data from digital sources or real-world environments, deriving valuable insights for better decision-making or enabling advanced process automation.
GenAI solutions
Generate text, code, visuals, or other types of content in real time, minimizing manual effort for administrative and creative tasks.
Forecast sales performance, price fluctuations, customer behavior, and other future trends or outcomes to adjust your business strategies accordingly.
Natural language processing software
Mimic human communication, analyze textual or audio data, and generate, summarize, or translate content, to foster user engagement, support informed business decisions, and speed up routine tasks.
Harness the power of AI technology with Itransition’s guidance
-24%
average claims processing time
Claims processing AI agent for insurance
Our team developed an AI agent for a US-based insurance company to automate claims processing workflows end-to-end and easily scale service operations. The solution automatically identifies the type of claim submitted, validates it against the policy coverage, and either approves the claim or escalates it for manual review.
+15%
ML model accuracy
ML model revamp for an insurance platform
An award-winning MGA teamed up with Itransition to develop a more accurate predictive model for its liability insurance platform, which helps identify users most likely to purchase policies. The new model was trained on 500,000 insurance application records and uses 100+ new features to predict application conversion to a bound policy.
1.5
FTE savings on software maintenance
AI-based logistics analytics assistant
A major distributor of food products partnered with Itransition to replace its legacy, hard-to-maintain BI system with an AI assistant providing self-service access to analytics. The tool answers queries based on corporate data in natural language, generates charts and visual reports, and handles follow-up questions to help users uncover deeper insights.
-60%
time spent on administrative work
Medical copilot for a psychological clinic
We helped a US-based psychological care provider develop an AI copilot to address patient data management inefficiencies. The system transcribes visit audio recordings, enters the collected information into the EHR system, and answers physicians' questions about past visits, enabling doctors to spend less time on paperwork and focus on patient care.
Our customers say
Over the course of our collaboration with Itransition, we were consistently impressed with both the skill and dedication their team employed to fulfil our business needs. Itransition’s involvement extended beyond the technical realisation of the project, they acted as consultants, continuously helping us hone the project vision and suggesting approaches that would be best suited for the intricacies of our business.
We highly recommend their services to software product vendors in need of AI-related innovation and process consultancy. They offer a unique blend of expertise and experience, delivering innovative software solutions while speeding up to market & optimizing ROI cycles.
Our industry expertise
With experience across 20+ verticals, we can build software solutions with custom functionality tailored to industry-specific AI use cases, quality standards, and regulations.
Healthcare
Manufacturing
Automotive
Fintech
Retail
Transportation & logistics
Education
Real estate
Software & hi-tech
Sports & entertainment
AI services delivery pipeline
1
Strategic review
Reviewing your business processes to identify inefficiencies and optimization opportunities
Eliciting your business goals
Assessing AI relevance for achieving your business objectives
2
AI strategy development
Creating an AI strategy aligned with your business goals
Defining clear software objectives to guide design and development decisions
Establishing KPIs and metrics to measure AI effectiveness
3
Solution design
Assessing the quality of available data assets
Designing the solution's architecture and planning software integrations
Defining the project scope, stages, budget, and timeline
4
Development & delivery
Developing the solution and integrating it into the existing environment
Deploying the solution to production
Carrying out continuous testing and incorporation of user and stakeholder feedback
5
Adoption & support
Integrating the solution into your business processes
Providing guidance and training on AI enablement across business functions
Tracking the solution’s KPIs to assess AI effectiveness and guide improvements
About Itransition
Providing IT services since 1998
5+ years of experience in AI development and consulting
Centralized artificial intelligence expertise through our dedicated AI/ML Center of Excellence
Long-standing 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, and Everest Group
4.9 overall review rating on Clutch
Our AI service offering
Consulting
Itransition’s consultants assist you throughout key stages of your AI journey, including AI strategy definition, AI use case identification, AI readiness assessment, and AI incorporation, to make sure the resulting AI system fully aligns with your unique requirements and is properly integrated into your business workflows.
Development
Our specialists deliver scalable, high-performing AI-driven solutions designed to support your strategic objectives and meet the highest engineering standards, taking care of data preparation and AI model training, front-end and back-end development, and software integration via APIs or other options.
How we approach AI projects
Responsible AI
We build AI solutions in line with the principles of fairness and explainability. For instance, we train AI models with diverse and representative data sets to prevent bias, or assess model output against selected performance metrics to identify potential reasons for inaccuracies.
MLOps
Our team follows the MLOps practices, including automated ML model training and deployment, version control, and continuous model monitoring to speed up time to market, make the training process reproducible and auditable, and perform timely troubleshooting.
Security
Our experts develop AI applications in strict compliance with applicable data management standards and regulations, such as the GDPR and ISO/IEC 27001. This also involves equipping your solution with robust security mechanisms like IAM and data encryption to mitigate cyber exposure.
Data governance
We follow data governance best practices throughout the AI lifecycle, such as performing continuous data validation and using data lineage tools, to provide end-to-end visibility into data flows and transformations, ensuring your data remains accurate, consistent, and fully auditable.
Looking for an experienced AI service provider?
Related services
Data management
Our specialists help you implement scalable data management systems to integrate, prepare, store, and migrate data for your AI initiatives, as well as governance policies to handle your data assets effectively and securely across your organization.
Machine learning
We develop software solutions powered by ML algorithms that autonomously learn how to carry out complex tasks for analytics and process automation, progressively improving their performance through experience.
Data science
Our team of data scientists can gather raw data, turn it into high-quality data sets, identify recurring patterns and anomalies, and incorporate these findings into software solutions to help you address key business problems.
FAQs
AI services are advanced solutions that help companies integrate artificial intelligence technology into
their operations, even with limited in-house IT resources. These include AI platforms offering pre-trained
models and other tools to speed up AI software development, along with ready-to-use solutions providing
access to AI capabilities such as advanced analytics with minimal upfront investment.
This term can also refer to AI development, consulting, and support services provided by IT companies and individual
specialists to help organizations design, build, and adopt AI software.
The budget for building an AI solution typically ranges from $10,000-$20,000 for entry-level apps and tools to
$100,000-$250,000 for enterprise-oriented systems with unique interfaces and advanced capabilities. Key cost
factors include AI model accuracy and other functional and non-functional requirements, the availability of
pretrained models, data management costs, and hosting infrastructure.
Consult our team of specialists for a more accurate estimate based on your specific needs.
Your company’s ability to implement and derive value from artificial intelligence depends on multiple factors, including your technology infrastructure, in-house expertise, and available data assets. Our consultants can help you assess your AI readiness and recommend potential steps to improve it, including hardware upgrades and workforce upskilling programs.
Drawing on our extensive knowledge of the leading AI tools, platforms, and services on the market, we select the most suitable tech stack to deliver AI solutions that integrate seamlessly into your IT environment while optimizing development costs. Key technologies we leverage include:
- Programming languages like Python, C++, and JavaScript
- Deep learning frameworks and libraries such as TensorFlow and PyTorch
- Generative AI platforms like Azure OpenAI and Amazon Bedrock
- NLP technologies, including large language models (LLMs) like Falcon and Llama
- Computer vision technologies like KerasCV and Stable Diffusion XL
- Data mining technologies such as NumPy, Pandas, and Scikit-Learn
- Cloud platforms like AWS and Microsoft Azure
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