From using AI as a tool to making AI your teammate. Your autonomous AI agent could handle complete workflows, integrate with multiple systems, and make decisions based on context with minimum intervention.
Let's Build the Ideal AI Consulting & Strategy Software for Your Practice
Autonomous AI Agents - Not Just A Tool, But A Teammate
Command your intelligent automation agents to plan, reason, use tools, memorize, and execute complex processes just like you would. Here’s your roadmap to AI virtual assistant development:
Custom AI Agent Development (Python/JS)
Build your personalized and custom AI agent that works like you and complete complex tasks while juggling between various systems and giving you the desired results.
Design and implement refined agent reasoning patterns with React, Chain-of-Thoughts, and multi-step planning, so that your agent can break down complex tasks, make decisions, and execute actions.
Connect your agent with other systems and implement robust function calling capabilities that allow your agent to interact with other systems, execute code, and take actions based on request.
Build a memory system including short-term conversation and long-term knowledge storage so that it learns from interactions and gives a personalized experience while interacting.
Carefully curate a standard to instruct your AI agent and make continuous iterations to make it smarter, flexible, and effective with each interaction.
Implement error recovery, fallback mechanisms, and monitoring systems, so that your agent can retry logic, validate layers, and track its performance in real-time to ensure reliability and elevate user experience.
No-Code/Low-Code Agent Development (n8n, Zapier)
Allow your non-technical staff to easily build their own AI agent with no-code/low-code agent development to automate tasks, improve processes, and enhance decision-making.
Create intuitive visual workflows using platforms like n8n or Zapier to allow your non-technical users to build their AI agent with drag-and-drop components.
Leverage an extensive connector to integrate with 1000+ popular business tools like CRMs, Databases, marketing tools, etc., with customization flexibility to connect with specialized industry tools when needed.
Apply sophisticated trigger systems to activate agents on specific events, such as new emails, form submissions, data changes, etc., to allow it to respond intelligently to different scenarios.
Identify common business processes and develop a ready-to-deploy agent template along with an industry-specific playbook that can easily make customizations and deploy the agent quickly.
Integrate custom code snippets, JavaScript functions, and Python scripts within no-code workflows to bridge visual automation and custom logic to allow technical customizations with easy development.
Industry-Specific Autonomous Agent Development
Build your AI agent that is highly specialized and tailored to address the unique challenges, data type, workflows, and regulatory requirements of your particular industry or business.
Make your agent a subject matter expert specific to your field by training it on domain-specific training data with integration with specific knowledge bases, regulatory databases, workflows, etc.
Build audit trails, compliance reporting, and automated risk assessment capabilities to ensure your agent automatically adheres to the industry-specific regulations.
Implement a multi-step workflow that mirrors established industry best practices and decision trees to help your agent understand and automate complex industry-specific processes.
Train your AI agent on specialized algorithms and models specific to the domain, so that it can handle industry-specific data formats and analysis requirements.
Implement permission systems, escalation protocols, and collaborative decision-making workflows for your intelligent automation agent to coordinate with different roles in the organization and make informed decisions on its own.
Retrieval-Augmented Generation (RAG) Systems
Give your AI agent the power of information retrieval systems and a generative LLM model so that your custom AI agents can be more accurate and relevant.
Instill a sophisticated document ingestion pipeline to help your AI agent handle data from multiple formats and build an intelligent chunking algorithms that understand and generate content in different types while preserving semantic meaning.
Unify search experience by implementing multi-modal embeddings. Deploy and design vector databases with hybrid search capabilities.
Give your AI agent the capability to find relevant documents or content from multiple sources and rank them on the basis of user intent. Also, implement re-ranking algorithms to maximize information density.
Connect your system with various knowledge bases using APIs, file systems, and web sources so that your AI agent can continuously update its knowledge without requiring a complete revamp.
Develop query processing in such a way that includes query expansion, intent classification, and multi-step retrieval strategies. Also, have a fallback mechanism in place, just in case the relevant information isn’t found to build trust and transparency.
Multimodal Agents Development
Don’t limit your AI Agent’s capabilities to analyze only textual information. Multimodal agent development allows it to process and respond to different types of data, such as text, image, voice, video, etc.
Build agents that can process multiple inputs in different formats like text, voice, images, videos, etc., simultaneously. Also, implement cross-modal to unify the experience.
Equip your AI agents with advanced vision capabilities using models like GPT-4V, Claude 3, or specialized computer vision APIs so that agents can understand visual tasks and analyze images more accurately.
Leverage robust text-to-speech systems with NLP so that your AI agent can have capabilities of natural voice generation, emotion recognition, and real-time voice conversation to personalize the experience depending on the use case requirement.
Implement intelligent output selection based on context, user preference, and nature of the tasks, so that your AI agent can provide you with different outputs like text, image, table, audio, video, etc.
Build a robust memory system so that your AI system can retain and correlate information across different modalities. Also, implement multimodal context switching for your agent to refer to previous interactions in text responses.
Model Context Protocol (MCP) Development
Build a standard framework for your AI Agent to integrate and share with external tools, systems, and data sources for a unified experience and faster processing.
Build MCP-compliant servers that use a standardized JSON-RPC interface that exposes tools, resources, and prompts. Also, implement proper service initialization, capability negotiation, and protocol versioning for seamless integration with MCPs.
Develop specialized MCP servers for domain-specific tools and resources with database connections, API endpoints, file systems, and custom business logic.
With efficient resource sharing, connection pooling, and load distribution allow your MCP server allows it to handle multiple concurrent connections.
Implement robust security layers such as authentication, authorization, rate limiting, and audit logging for MCP server access and build a permission system with role-based access controls to control operations and data exposure.
Build development kits, debugging tools, and testing frameworks to speed up MCP server development. Include code generators, protocol validators, and integration test suites to ensure compliance across implementations.
See Exactly How AI Agents Can Automate Your Workflows
Get a personalized breakdown of how AI agents fit into your workflow.
Clients Testimonials
Join 150+ Happy Clients: See What They Have to Say
We've successfully collaborated with 150+ satisfied clients, and 95% of them have expressed their satisfaction with our medical software development company.
"We replaced three workflows with one intelligent agent"
Thinkitive's AI agent automates our entire onboarding process, from document collection to ID verification and basic Q&A. Our team now focuses on high-touch tasks rather than routine back-and-forth interactions.
Josh Whitman Director of Ops, Hexorise Technologies
"It's like adding a team member who never sleeps"
Our custom-built AI agent manages internal IT requests 24/7. The ticket resolution time has dropped dramatically, and our support team finally has breathing room.
Dana Collins Head of Infrastructure, StratusPath Systems
"From static bots to dynamic agents, a total leap forward"
We had a basic chatbot before. Now, our AI agent handles contextual conversations, follows up automatically, and even escalates when needed. It’s been a major upgrade in our customer experience.
Gavin Rogers Product Owner, LoopLogic Inc.
"They turned AI agents from a buzzword into a real asset"
We built a knowledge-based agent to assist our sales team with product information, pricing, and documentation. It’s like having a hyper-fast assistant who knows everything.
Their team didn’t just build an agent—they helped us shape its role, behaviors, and escalation logic. It’s now an essential part of our client onboarding process.
Ben Alvarez COO, CobaltHive Platforms
"It’s the first AI agent we’ve seen that actually learns"
We were impressed by how well the agent learned from our interactions. It’s not static like rule-based systems, it's adaptive, conversational, and incredibly efficient.
Jenna Clarke CX Lead, Velzion Digital
Cost & Timelines
Your AI Agent Development: Costs, Timeline, and What to Expect
Get complete transparency on project costs and delivery schedules that actually work for your business.
Complexity
Software complexity (its functionality scope)
Type
Software type (e.g. web, mobile, desktop)
No. of Users
The expected number of users
Integrations
The required integrations as per regulations
Compliance
Regulatory compliance requirements
Security
Performance, security, usability and accessibility requirements
Deployment
The chosen deployment model (e.g. on-premise, cloud)
Sourcing
The sourcing model (in-house, outsourcing) & team composition
We deliver AI-powered healthcare software in the following timeframes
1 Week
Medical software project starts within 1 week
2-4 Months
MVP release
Every 2-4 Weeks
New healthcare AI software versions
Get Your Custom Cost Estimate Now
Calculate What Your AI Agent Will Cost.
WHY THINKITIVE?
Empowering Healthcare Technology Innovation
250+
Healthcare Projects
400+
Healthcare Experts
98%
Client Retention Rate
150+
Healthcare Customers
50%
Cost Saving on Development
Engagement models
Affordable & Flexible: Engagement Models for Every Need
Our flexible engagement models allow us to customize our services to meet your unique needs. Whether you're looking for a dedicated team, project-based work, or ongoing support, we have the right solution for you.
I have a requirement and want to pay a fixed price
Share your project requirements, and our team will conduct a discovery call to understand your needs in detail. We'll provide a clear project estimate and deliver high-quality work. Pay only upon project completion and your satisfaction, ensuring you're never overcharged.
I want to hire an AI solution developer on an hourly basis
Hire dedicated developers with 160 hours of focused attention each month. Enjoy peace of mind with transparent billing, daily timesheets, and our unwavering commitment to your success. Benefit from the expert guidance of our complimentary Delivery Manager.
SAVE EXTRA 20%
Let’s Find Your AI Healthcare Software Developer
Framework & Technology Expertise
Our AI Solution Development Framework & Technology Expertise
Our AI development team has broad experience in all AI technologies, frameworks, and expertise in multiple databases, real-time data processing, and cloud technologies.
Back-end Programming Languages
Front-end Programming Languages
Languages
Javascript Frameworks
Mobile
Cloud
Databases/Data Storages
SQL
NOSQL
Platforms
Looking to Speed up Operations, Increase Accuracy, and Cut Response Times?
Our AI agents handle your repetitive tasks flawlessly, work around the clock, and deliver consistent results every time.
THINKITIVE’S ENTERPRISE AI TRANSFORMATION PROCESS
Affordable Development Anytime, Anywhere
Our skilled AI solutions developers have expertise in understanding the unique business needs and requirements of every industry.
Discovery
Domain Expert To understand clinical and end-user needs.
Business Requirements To make market-fit solutions.
Wireframes & Userflows To define software functions and functionalities.
Development
Dynamic UI/UX Elevated experience for patients and providers.
Sprint Creations To plan enterprise AI transformation.
Coding & API Integration Software coding as per necessary compliances.
Testing
Manual Testing For manually checking software functionalities.
Automation Testing Scripting for testing AI solution functionalities.
Rigorous Testing End-to-end thorough testing of the solution.
Deployment
Secure & Compliant Ensuring the healthcare system infrastructure is secure and HIPAA, GDPR, and SOX compliant.
Integration Application Integration for deployment.
Maintenance & Support User feedback and audits for continuous improvement.
Need to Design, Develop, or Improve Your Custom Agentic AI?
Frequently Asked Questions
Get answers to all your questions
Still have questions ?
AI agents are autonomous systems that perceive their environment, make decisions, and take actions to achieve specific goals. These AI agents use algorithms, data, and machine learning to analyze inputs, adapt to changes, and perform tasks ranging from answering simple questions to automating complex workflows without the need for constant human intervention.
AI agent development costs can change depending on the complexity, features, and integration needs. For instance, a basic agent can start at $5,000-$10,000, while advanced, enterprise-grade solutions may cost up to $50,000- $100,000. As you add customization, data training, and ongoing maintenance, these factors can influence the total cost of developing an AI agent.
AI agents and chatbots are fundamentally different systems, as AI agents are autonomous systems that can make decisions, take actions, and interact with various tools or software independently. However, chatbots are only conversational interfaces designed to respond to user queries. Unlike chatbots, AI agents can perform multi-step operations on their own without the need for human intervention.
Developing a custom AI agent typically takes 4 to 12 weeks, depending on complexity, data availability, and integration needs. Simple agents with predefined tasks are faster, while advanced agents with learning capabilities and mukti-system integration take more time for testing, fine-tuning, and deployment.
There are many industries that can benefit from AI agents. Some of them are healthcare, finance, retail, manufacturing, and education, which can benefit by automating tasks, enhancing decision-making, improving user experiences, and reducing costs. AI agents also streamline operations for these industries, along with providing 24/7 support and personalized interactions, making businesses more efficient and responsive to changing demands.
Yes, AI agents can seamlessly merge with existing systems through AI agent integration services. Whether it's ERPs, EHRs, or databases, AI agents can be integrated with them by using custom APIS and connectors. They enable real-time data exchange, automate workflows, and enhance decision-making without disrupting your current tech infrastructure.
We ensure AI agent security through many enterprise-grade security measures, including end-to-end data encryption, role-based access control, regular vulnerability assessment, and secure API integrations. Additionally, compliance with data privacy regulations like HIPAA, GDPR, CCPA, and GLAB, along with continuous AI agent monitoring, helps prevent unauthorized access and data breaches.
AI agents become autonomous due to their ability to perceive their environment, make decisions based on data, and take actions without constant human attention or input. They use machine learning, predefined goals, and adaptive algorithms to operate independently, continuously learning and improving from interactions and outcomes.
Yes, we provide AI agent training and support, including setup, customization, and ongoing optimization. Our team ensures your AI agents align with your workflows, learn continuously, and deliver consistent, high-quality performance across tasks, maximizing efficiency and value from the first day.
Yes, AI agents can handle voice interactions using Natural Language Processing (NLP) and speech recognition technologies. With these technologies embedded in them, AI agents can easily understand spoken languages it has been trained in, respond in real-time, and even perform tasks or access data, making them ideal for virtual assistants, customer service, and healthcare support scenarios.
AI agents learn and improve over time through machine learning algorithms that process data, identify patterns, and adapt based on feedback given. It also adapts and refines decision-making based on the new data continuously fed into it, thereby enhancing its accuracy and optimizing performance through techniques such as reinforcement learning or supervised training.
We offer flexible deployment options for AI agents, including cloud-based, on-premises, and hybrid models. Depending on your infrastructure, security needs, and scalability goals, we tailor the deployment to integrate seamlessly with your existing systems while ensuring high performance, data privacy, and regulatory compliance.
AI agent performance is measured by using some key performance indicators like task success rate, response accuracy, user satisfaction scores, average resolution time, and error rates. Moreover, continuous evaluation through real-world testing and feedback helps refine behavior, improve decision-making, and ensure alignment with business goals and user expectations.
Yes, AI agents can escalate complex issues to humans when they encounter scenarios beyond their capabilities. This handoff ensures accurate resolution, improves user experience, and maintains trust. Escalation protocols are typically built into workflows for a smooth transition from AI to human support.
AI agents possess advanced natural language capabilities, including understanding context, interpreting intent, generating human-like responses, summarizing content, translating languages, and answering questions. They can engage in dynamic conversations, extract relevant information, and assist with tasks like documentation, scheduling, and decision support across various domains.
Budapest is the capital city of Hungary. It is best known for its arts and culture. It is a relatively small city, however there are much to see and do. ...Situated on thermal springs, there are many naturally heated baths to relax in, the Széchenyi baths are the largest with 15 indoor baths and 3 outdoor. There are many spectacular viewpoints in Budapest, great for capturing the views of the city. From 360 panoramic views up at St Stephens Basilica to a wide view of the parliament and the River at Fisherman’s Bastion. Visit the Museum of Fine Arts and enjoy a day amongst famous European art. Classical music lovers will appreciate a performance at the Academy of Music.
Barcelona, framed for its individuality, cultural interest, and physical beauty, home to art and architecture. Facing the Mediterranean to the southeast, ... the city is one of a kind. Upon visiting make sure you visit the spectacular and unique Park Güell which was firstly designed for a town up in the mountains by artist Antoni Gaudí. Gaudí's work is admired by architects around the World as being one of the most unique and distinctive styles in modern architecture. Other places worth visiting is the La Sagrada Família, is a giant basilica. With beaches on your doorstop, and art and city culture, this diverse city has everything to offer.
Barcelona, framed for its individuality, cultural interest, and physical beauty, home to art and architecture. Facing the Mediterranean to the southeast, ... the city is one of a kind. Upon visiting make sure you visit the spectacular and unique Park Güell which was firstly designed for a town up in the mountains by artist Antoni Gaudí. Gaudí's work is admired by architects around the World as being one of the most unique and distinctive styles in modern architecture. Other places worth visiting is the La Sagrada Família, is a giant basilica. With beaches on your doorstop, and art and city culture, this diverse city has everything to offer.
Barcelona, framed for its individuality, cultural interest, and physical beauty, home to art and architecture. Facing the Mediterranean to the southeast, ... the city is one of a kind. Upon visiting make sure you visit the spectacular and unique Park Güell which was firstly designed for a town up in the mountains by artist Antoni Gaudí. Gaudí's work is admired by architects around the World as being one of the most unique and distinctive styles in modern architecture. Other places worth visiting is the La Sagrada Família, is a giant basilica. With beaches on your doorstop, and art and city culture, this diverse city has everything to offer.
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