At Greenice, we offer custom AI agent development services that go beyond demos. From back-office automation to enterprise copilots, our agents are built to be accurate, secure, and seamlessly integrated into your workflows.
Start Your ProjectAI agent development is the process of designing, building, and integrating intelligent software agents that can perform tasks on behalf of humans. Unlike generic chatbots, these agents are engineered to analyze data, interact with multiple systems, connect with APIs, and execute real workflows in line with your business goals.
With the right development approach, AI agents become a secure, scalable, and reliable extension of your team, available 24/7 to reduce costs, accelerate workflows, and enhance customer experiences.
Identify high-value use cases, define success metrics, and create a clear roadmap
Build backend, frontend, and integrations tailored to your systems and workflows.
Enable natural conversations through chat, calls, or messaging apps.
Set up secure, scalable infrastructure for reliable performance.
Ensure HIPAA, GDPR, and SOC2 compliance where required.
Provide updates, retraining, and enhancements to keep your agents evolving.
Design and implement secure MCP servers to connect AI agents with your internal tools, data sources, and systems.
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Lead generation, outreach automation, personalized campaigns.
Copilots embedded in CRMs, ERPs, and intranets.
AI-driven content workflows and campaign automation.
Project coordination, document management, progress tracking, and operational workflow automation.
HIPAA-compliant scheduling, reminders, patient engagement.
Anomaly detection, reporting, back-office automation.
Personalized learning assistants, automated grading, student support, and campus workflow optimization.
Lead qualification, property recommendations, document processing, and client communication automation.
We start by learning about your goals, workflows, and compliance requirements (e.g., HIPAA or GDPR). Together, we define where AI agents will bring the most impact and how success will be measured.
Before investing in a full build, we create a small prototype to test the core idea. This helps validate feasibility, showcase early results, and gather feedback quickly.
Based on your needs, we select the right technologies: large language models (LLMs), databases, frameworks, and integrations with your existing systems. We also design guardrails to ensure reliability and accuracy.
We develop the first working version of your AI agent with essential features. This gives you something tangible to test, refine, and even start using in real workflows.
We expand functionality, connect APIs, enable chat/voice interactions, and integrate the agent into your CRM, ERP, or other enterprise systems.
We run functional, performance, and load tests on every feature to ensure the agent behaves as expected under real-world usage.
We add guardrails, RAG pipelines, and compliance checks to reduce hallucinations, protect data, and keep the system reliable.
Once ready, we launch your AI agent on scalable cloud infrastructure (AWS, GCP). Monitoring tools are put in place to track performance and ensure uptime.
After launch, we provide ongoing support, add new features, retrain models, and scale the system as usage grows. Logging chat history and collecting feedback help us fine-tune performance over time.
We developed an AI concierge bot for a travel platform that helps visitors quickly find hotels, restaurants, and attractions. The chatbot answers FAQs, suggests tailored routes, and applies advanced filters to deliver the best options, making trip planning easier and boosting on-site conversions.
For an online clinic, we built a conversational AI assistant that enables patients to book appointments, check symptoms, and get instant guidance. The bot can hand off complex cases to human staff and collect feedback after interactions, improving both accessibility and service quality while reducing administrative workload.
We created an internal AI chatbot to serve as a knowledge copilot for a company’s sales department. Using Retrieval-Augmented Generation (RAG), it provides precise answers from internal documents like playbooks, case studies, and templates. This tool speeds up onboarding, reduces response times, and ensures the team has quick access to the information needed for consistent, informed client communication.
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Are you an entrepreneur who wants to know “how much does software development cost?”
Drawing from over a decade of experience as a top-rated web development agency with a global clientele, we've observed that the average web development project typically takes 1 to 6 months, with costs ranging between $5,000 and $30,000. However, these figures can vary significantly based on a multitude of factors. To learn more about what influences these costs, continue reading.
At Greenice, we deeply understand the nuances of software development costs and are dedicated to delivering solutions tailored to meet your business needs. Since our inception in 2007, we have successfully completed over 200 projects, collaborating with clients across the globe.
Do you have a decent idea for an app and need to know “how much does it cost to build a web application”?
Drawing on more than ten years of experience as a leading web development agency with clients around the world, we've found that most web app projects take between 1 to 6 months to complete, with costs usually falling between $5,000 and $30,000. But this is a very average estimate and many of our clients have spent $100,000+ to create the applications of their dreams.
In this article, we will tell you how to estimate your future web app and what factors affect the cost.
At Greenice, we're experts in crafting cost-effective web apps tailored to your business needs. Since 2007, we've successfully completed over 200 projects across various industries, proving our versatility and expertise.
