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Agentic AI Services We Offer

Empower your business with autonomous, decision-making AI agents that optimize workflows, reduce bottlenecks, and accelerate innovation

Custom agentic AI development

Get tailor-made agentic AI systems designed to independently analyze business data, make context-aware decisions, streamline complex workflows, and act on your behalf in routine tasks

Agentic AI consulting and strategy

Get expert guidance to assess your AI readiness, define a realistic agentic AI adoption strategy, and uncover high-impact, feasible use cases that align with your operational and business goals

Agentic AI implementation

We implement agentic AI into your operations, ensuring seamless integration with your existing systems to deliver measurable performance and automation gains

Proof of Concept (PoC) for agentic AI

Test the real-world impact and potential of agentic AI through a focused PoC development, enabling the validation of technical feasibility and business value within a few weeks at minimal risk

Agentic AI Use Cases Across Industries

Explore how agentic AI solutions enable businesses across various industries to redefine workflows, automate complex tasks, and boost overall efficiency

Use case examples for Healthcare


  • Autonomous medical coding and billing

    Autonomously extract and assign ICD, CPT, and HCPCS codes from clinical documents to streamline billing processes, ensure accurate reimbursement, and maintain compliance.

  • Personalized treatment recommendations

    Deliver tailored care plans based on real-time patient data using scalable agentic AI systems that support clinicians in making faster, more informed decisions.

  • Clinical workflow automation

    Optimize administrative workflows with AI agents that handle scheduling, documentation, and reminders to reduce manual workload and improve patient care.

  • Medical data triage and routing

    Accelerate diagnosis and improve operational efficiency, leveraging AI agents to analyze incoming patient data and route it to the right department or specialist.

Use case examples for FinTech


  • Automated fraud detection and response

    Deploy intelligent agents that continuously monitor transactions and autonomously act on suspicious patterns to protect against evolving financial threats.

  • Personalized financial advisory

    Provide real-time, AI-driven investment guidance tailored to user goals using agentic AI platforms that adapt to market changes without human intervention.

  • Loan underwriting optimization

    Transform traditional loan processing with autonomous agents that assess risk and make decisions using enterprise data and predefined business rules.

  • Regulatory compliance checks automation

    Streamline compliance by using agentic AI to monitor financial activity, update documentation, and ensure adherence to regulatory standards automatically.

Use case examples for Education


  • AI tutors for personalized learning

    Guide students through tailored learning paths, adapting content and pace in real-time with intelligent AI agents to meet individual progress and understanding.

  • Assignment grading automation

    Reduce teacher workload by deploying agentic AI tools that evaluate assignments, give feedback, and maintain grading consistency across large student volumes.

  • Real-time engagement tracking

    Monitor student attention and participation via AI systems that offer insights to instructors and adjust content delivery to maximize educational impact.

  • Curriculum planning support

    Leverage AI solutions that analyze learning outcomes and suggest curriculum changes aligned with evolving educational standards and learner needs.

Use case for E-commerce


  • Conversational AI for product discovery

    Enable businesses to improve customer experiences with AI agents that understand natural language and guide users to relevant products instantly.

  • Inventory and demand forecasting

    Improve operational efficiency by using agentic AI to analyze trends and predict inventory needs, helping avoid stockouts or overstock situations.

  • Automated pricing strategy

    Employ AI agents to autonomously adjust product prices based on market conditions, competitor data, and real-time customer behavior to maximize revenue.

  • Post-purchase experience management

    Leverage agentic AI platforms to automatically handle returns, refunds, and feedback collection, ensuring seamless and scalable customer support after checkout.

Use case for Travel & Hospitality


  • AI agents for itinerary planning

    Create personalized travel plans that adapt to user preferences and real-time conditions, enhancing customer satisfaction with minimal human input.

  • Dynamic pricing and yield optimization

    Adjust travel package pricing in real-time based on demand, seasonality, and competitor activity with autonomous agentic AI systems.

  • Guest service automation

    Deploy autonomous AI agents to respond to guest inquiries, provide local recommendations, and resolve issues quickly across communication channels.

  • Operational task management

    Streamline hotel and airline operations with AI platforms that coordinate housekeeping, maintenance, and logistics based on real-time data.

Major Benefits of Agentic AI Implementation

AI agents are powerful tools enabling to automate your business workflows and increase efficiency

Improved efficiency

Agentic AI automates complex workflows and minimizes manual input, helping teams operate up to 30% more efficiently within current tasks

Faster task completion

Agentic AI allows to complete tasks that once took hours in minutes, accelerating internal processes by up to 80% in real-world enterprise use

Satisfied customers

With always-on support and adaptive interactions, agentic AI delivers the responsiveness and personalization that keep customer satisfaction high

Reduced costs

Agentic AI helps lower operational expenses by up to 30% by automating repetitive tasks and streamlining complex business processes

80%

Increase in efficiency

Autonomous AI agents reduce delays and optimize end-to-end response cycles, leading to an efficiency increase due to faster handling of complex tasks

50%

Reduction in workload

Agentic AI solutions automate repetitive tasks and streamline business processes, enabling teams to focus on strategic, high-value work

90%+

Boost in decision accuracy

Improved accuracy in real-time decisions with agentic AI systems that analyze data contextually and collaborate with minimal human input

Book a strategy call with our IT experts to uncover new opportunities for manual workflows automation and productivity improvement with agentic AI and get expert tech assistance in AI solution development
Looking to boost efficiency with smart AI agent?

Why Choose Cleveroad as Your Agentic AI Development Company

Cleveroad’s engineers employ the best practices for AI agents development focusing on your business success and smooth workflow automation 

member

Oleksandr Riabushko

Engagement Director

  • In-depth AI expertise

    Our team has deep experience in AI agent development, including LLMs, multi-agent architectures, and prompt engineering. We use proven AI frameworks, cloud platforms, and open-source tools to build scalable, domain-specific solutions tailored to complex business needs

  • Proficiency across multiple industries

    Our AI developers have solid experience in 9 business domains, including the ones implementing agentic AI solutions the most: Healthcare, FinTech, Education, E-Commerce, and others. We develop AI agents considering each domains specific requirements and legislatory considerations

  • Full-cycle agentic AI services

    We cover the complete agentic AI development lifecycle, from use case discovery and system architecture to agent development, integration, and post-deployment support. We prioritize your business success and proactively solve any potential issues to ensure fast and smooth AI product delivery

  • Seamless integration with your IT ecosystem

    We ensure your agentic AI systems integrate smoothly into your existing enterprise infrastructure without disrupting operations. Our engineers connect AI agents with your current APIs, data pipelines, CRM, ERP, and other core systems, providing AI automation without costly reengineering

Our Agentic AI Solutions Development Flow

We follow a proven agentic AI development life cycle to deliver scalable agentic AI systems tailored to your business needs and technical landscape

  • We start collaboration with you by identifying high-impact use cases where agentic AI can deliver measurable results, whether by automating decision-heavy workflows, enhancing customer experiences, or optimizing internal operations. We assess your data readiness, security needs, and infrastructure to shape a custom multi-agent architecture aligned with your goals.

  • We quickly build and validate a working PoC of your agentic AI system. This prototype can be deployed in cloud, on-premises, or hybrid environments based on your needs. It allows you to evaluate how intelligent agents interact, automate tasks, and respond in real-world scenarios. PoC helps you test assumptions, explore LLM performance, and gain confidence before full-scale development.

  • With your PoC as a foundation, we build robust autonomous agents tailored to domain-specific tasks. We implement exception-handling logic, ensure secure data exchange, and optimize reliability through real-world testing. Once ready, your multi-agent AI system is seamlessly integrated into enterprise workflows via APIs and data pipelines, prepared to drive real-time value across your operations.

AI strategy sprint

We start collaboration with you by identifying high-impact use cases where agentic AI can deliver measurable results, whether by automating decision-heavy workflows, enhancing customer experiences, or optimizing internal operations. We assess your data readiness, security needs, and infrastructure to shape a custom multi-agent architecture aligned with your goals.

Proof of Concept creation

We quickly build and validate a working PoC of your agentic AI system. This prototype can be deployed in cloud, on-premises, or hybrid environments based on your needs. It allows you to evaluate how intelligent agents interact, automate tasks, and respond in real-world scenarios. PoC helps you test assumptions, explore LLM performance, and gain confidence before full-scale development.

Full development & integration

With your PoC as a foundation, we build robust autonomous agents tailored to domain-specific tasks. We implement exception-handling logic, ensure secure data exchange, and optimize reliability through real-world testing. Once ready, your multi-agent AI system is seamlessly integrated into enterprise workflows via APIs and data pipelines, prepared to drive real-time value across your operations.

Agentic AI Solutions We’ve Delivered

We help our clients identify and develop agentic AI solutions that align with their business goals and improve daily workflows

AI-Powered Health Insurance Claims Automation
Under NDA

Germany

Healthcare

Challenges solved within the creation of an AI-based claims processing system:
  • Replacing manual medical claim reviews with an agentic AI that autonomously validates treatment codes and policies
  • Reducing claim resolution time by 60%, cutting average processing from 10 days to 4 days
  • Enhancing fraud detection accuracy by 35% through real-time anomaly checks in submitted clinical documentation
Agentic AI for Real-Time Credit Risk Assessment
Under NDA

United Kingdom

Fintech

Challenges solved within the creation of an AI-based credit scoring solution:
  • Automating creditworthiness assessment using real-time document parsing and risk signals across SMB loan applicants
  • Shortening loan approval cycles by 70%, from 48 hours to under 15 minutes with minimal human intervention
  • Increasing model transparency and regulatory compliance with explainable AI components and real-time decision-making

Learn about Cleveroad’s expertise in Projects Portfolio

in Projects Portfolio

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Certifications

We keep deepening our expertise to meet your highest expectations and build business innovative products

ISO 27001

ISO 27001

Information Security Management System

ISO 9001

ISO 9001

Quality Management Systems

AWS

AWS

Select Partner Tier

AWS

AWS

Solutions Architect, Associate

Scrum Alliance

Scrum Alliance

Advanced Certified Scrum Product Owner

AWS

AWS

SysOps Administrator, Associate

Our Clients Say About Us

Client photo...
DK flagDenmark
FinTech

CTPO of Penneo A/S

"Cleveroad proved to be a reliable partner in helping augment our internal team with skilled technical specialists in cloud infrastructure."

Automate workflow with agentic AI
Partner with a trusted agentic AI development company to implement AI-based assistance into your business operations and lower stuff load

Tech Stack We Use for Agentic AI Development

Our team employs proven programming tools to create agentic AI solutions

Programming languages

Tools providing the foundation for coding, training, and deploying AI models, ensuring efficient model development and implementation

Frameworks and libraries

Robust frameworks for building and training of machine learning and deep learning models, allowing to handle complex algorithms

Data analysis and big data processing

Systems designed for processing and analyzing large datasets help uncover valuable insights and drive data-driven decision-making

Developing and training AI models

Interactive tools offer environments for writing, testing, and refining AI models, streamlining the development process

Cloud platforms

Cloud-based solutions enabling scalable model training and deployment, providing flexibility and ease of access for AI projects

Data management and preparation tools

Specialized libraries simplifying data handling, computational tasks, and visual representation, supporting more effective model building

Our Engagement Models for Agentic AI Services

We provide flexible cooperation models for generative AI development services, letting you select the approach that suits your needs and resources better

IT staff augmentation

Problem to solve:

Extend your team with the required AI expertise

Value delivered:

  • Expand your tech capabilities with the required IT experts

  • Fully manage specialists’ work as if they are in your in-house team

  • Scale your team with a single developer or a full-stack unit

Dedicated team

Problem to solve:

Hire a dedicated team for agentic AI development

Value delivered:

  • Get a pre-assembled, self-managing development team

  • Maintain direct communication for progress updates

  • Adjust team size flexibly based on project needs at any time

Custom development

Problem to solve:

Receive end-to-end agentic AI development services

Value delivered:

  • Develop a tailored software solution aligned with your needs

  • Ensure a smooth development from idea validation to release

  • Build a scalable, high-performing product for long-term success

Industry Contribution Awards

Leading rating & review platforms rank Cleveroad among top software development companies due to our tech assistance in clients' digital transformation.

70 clutch reviews

4.9

Award

Award

Clutch 1000 Service Providers, 2024 Global

Award

Award

Clutch Spring Award, 2025 Global

Ranking

Ranking

Top AI Company,
2025 Award

Ranking

Ranking

Top Software Developers, 2025 Award

Ranking

Ranking

Top Web Developers, 2025 Award

Ranking

Ranking

Top Staff Augmentation Company in USA, 2025 Award

Questions You May Have
Uncover answers to common issues associated with AI agents development services and their use cases
What is Agentic AI, and how does it differ from traditional AI?
Agentic AI is a type of artificial intelligence that can autonomously make decisions, pursue goals, and adapt to changes in real time. Unlike traditional AI models, which require predefined instructions or constant human input, agentic AI systems can independently plan, act, and optimize outcomes. This shift enables businesses to move from reactive tools to proactive, self-improving AI agents that continuously enhance workflows and reduce reliance on manual intervention.
What is the difference between generative AI and agentic AI?
While both fall under artificial intelligence, they serve different purposes:
  • Generative AIcreates new content (text, images, or code) based on existing data
  • Agentic AImakes decisions, sets goals, and executes actions autonomously
Thus, generative models support creativity and automation, while agentic AI systems are ideal for real-time decision-making and business process optimization.
What industries use AI agent development for real-time solutions?
AI agent development is being embraced by various industries aiming to modernize and automate complex processes:
  • Healthcare: clinical documentation, patient engagement, diagnostics
  • FinTech: fraud detection, financial planning, client onboarding
  • Ecommerce: personalized recommendations, inventory optimization
  • Logistics: supply chain automation, risk monitoring
  • Travel: itinerary management, smart assistants for customers
  • Education: personalized learning agents, curriculum planning
What is AI agent development, and why is it important for businesses?
AI agent development involves building intelligent, goal-driven systems that autonomously complete tasks and collaborate across workflows. These agents streamline business processes, improve operational efficiency, and accelerate enterprise scalability.
What are agentic AI solutions, and how can they transform businesses?
Smart agentic AI solutions are systems designed to carry out tasks, make decisions, and adapt without manual input. They transform business operations by reducing repetitive workloads, optimizing workflows based on real-time data, and enabling seamless collaboration between AI agents and enterprise systems. By leveraging scalable agentic AI systems, companies improve productivity, operational efficiency, and the ability to respond to change dynamically.
What is an example of agentic AI?
Agentic AI is already being used across industries to automate tasks and streamline complex workflows. Real-world examples include:
  • Autonomous extraction and assignment of billing codes— used in healthcare to process clinical documentation faster, improve revenue cycles, and reduce manual effort.
  • Real-time inventory monitoring and stock reordering— applied in ecommerce to maintain optimal stock levels, avoid shortages, and automate supply chain decisions.
  • Dynamic shipment rerouting based on weather and traffic data— leveraged in logistics to prevent delays and ensure operational continuity without human intervention.
  • Instant assessment of financial documents and credit scoring— used in fintech to accelerate onboarding and make risk-based decisions with minimal manual review.
These examples show how agentic AI systems can autonomously handle complex, repetitive tasks while enhancing productivity and decision-making.
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