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 agents development feature icon

Custom AI Agent Development (Python/JS) HIPAA Compliance Icon logo

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.

A custom AI agent integrated with data analytics, CRM, and EHR system for performing multiple tasks effortessly and accurately

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 feature icon

No-Code/Low-Code Agent Development (n8n, Zapier) HIPAA Compliance Icon logo

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.

Streamlining the process of vibe coding with prompt, process, and final result with the help of agentic AI

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 agents feature icon

Industry-Specific Autonomous Agent Development HIPAA Compliance Icon logo

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.

Development of industry-specific AI with domain-specific knowledge, compliance automation, industry workflow integration, data processing and analysis capabiltes

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) system feature icon

Retrieval-Augmented Generation (RAG) Systems HIPAA Compliance Icon logo

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.

A retrivel-augmentation systems gathering external data and combining it with large language model to generate more accurate results

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 feature icon

Multimodal Agents Development HIPAA Compliance Icon logo

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.

A person using AI agent that can recognize and analyze different inputs like text, voice, image, and videos with cross-modal for unified system for better computer vision and analyses

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 feature icon

Model Context Protocol (MCP) Development HIPAA Compliance Icon logo

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.

Screen showing AI agent easily understanding data inputs from external sources within secure environment of complaince

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.
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How AI Agents Can Automate Your Workflows

Get a personalized breakdown of how AI agents fit into your workflow.

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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.

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.

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Complexity

Software complexity (its functionality scope)

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Type

Software type (e.g. web, mobile, desktop)

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No. of Users

The expected number of users

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Integrations

The required integrations as per regulations

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Compliance

Regulatory compliance requirements

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Security

Performance, security, usability and accessibility requirements

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Deployment

The chosen deployment model (e.g. on-premise, cloud)

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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

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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

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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.

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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.

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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%

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

Microsoft dotnet logo java logo python logo nodejs logo php logo go logo

Front-end Programming Languages

Languages

nd logo html server logo JS logo

Javascript Frameworks


angular logo react logo meteor logo vuejs logo nextjs logo ember logo

Mobile

ios logo android logo xamarin logo apache_cordova logo pwa logo react_native logo flutter logo ionic logo

Cloud

AWS Amazon Cloud logo Google Cloud logo Microsoft Asure logo DigitalOcean logo rackspace logo

Databases/Data Storages

SQL

SQL Server logo Oracle logo Azure SQL Database logo MYSQL logo PostgreSQL logo

NOSQL


Cassandra logo Apache HBASE logo Azure SQL Database logo MongoDB logo Bee logo nifi logo

Platforms

Dynamic365 logo salesforce logo Magneto logo service logo servicenow logo sap logo
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Speed Up Your Operations, Increase Accuracy, & Cut Response Times?

Our AI agents automate your repetitive tasks, 24/7, with consistent accuracy.

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A doctor
healthcare provider
healthcare provider
A happy patient with her child having a conversation with the provider
A happy patient with her child having a conversation with the provider
two healthcare providers handshaking over successful care delivery
two healthcare providers handshaking over successful care delivery

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.

Magnifying glass icon indicating discovery phase in AI Agent Development
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.
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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.
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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.
A rocket icon showcasing the deployment phase of AI Agent Development
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.
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Need to Design, Develop, or Improve
Your Custom Agentic AI?

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A doctor
healthcare provider
healthcare provider
A happy patient with her child having a conversation with the provider
A happy patient with her child having a conversation with the provider
two healthcare providers handshaking over successful care delivery
two healthcare providers handshaking over successful care delivery

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.

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Barcelona, framed for its individuality, cultural interest, and physical beauty, home to art and architecture. Facing the Mediterranean to the southeast, ...

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